chore: task management
This commit is contained in:
Eyal Toledano
@@ -12,7 +12,8 @@
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"OPENROUTER_API_KEY": "OPENROUTER_API_KEY_HERE",
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"MISTRAL_API_KEY": "MISTRAL_API_KEY_HERE",
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"AZURE_OPENAI_API_KEY": "AZURE_OPENAI_API_KEY_HERE",
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"OLLAMA_API_KEY": "OLLAMA_API_KEY_HERE"
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"OLLAMA_API_KEY": "OLLAMA_API_KEY_HERE",
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"GITHUB_API_KEY": "GITHUB_API_KEY_HERE"
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}
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}
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}
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@@ -112,9 +112,10 @@ This document provides a detailed reference for interacting with Taskmaster, cov
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* **CLI Command:** `task-master show [id] [options]`
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* **Description:** `Display detailed information for a specific Taskmaster task or subtask by its ID.`
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* **Key Parameters/Options:**
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* `id`: `Required. The ID of the Taskmaster task, e.g., '15', or subtask, e.g., '15.2', you want to view.` (CLI: `[id]` positional or `-i, --id <id>`)
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* `id`: `Required. The ID of the Taskmaster task, e.g., '15', or subtask, e.g., '15.2', you want to view.` (CLI: `[id]. Supports comma-separated list of tasks to get multiple tasks at once.` positional or `-i, --id <id>`)
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* `file`: `Path to your Taskmaster 'tasks.json' file. Default relies on auto-detection.` (CLI: `-f, --file <file>`)
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* **Usage:** Understand the full details, implementation notes, and test strategy for a specific task before starting work.
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* **CRITICAL INFORMATION** If you need to collect information from multiple tasks, use comma-separated IDs (i.e. 1,2,3) to receive an array of tasks. Do not needlessly get tasks one at a time if you need to get many as that is wasteful.
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---
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@@ -6,4 +6,5 @@ GOOGLE_API_KEY="your_google_api_key_here" # Optional, for Google Gem
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MISTRAL_API_KEY="your_mistral_key_here" # Optional, for Mistral AI models.
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XAI_API_KEY="YOUR_XAI_KEY_HERE" # Optional, for xAI AI models.
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AZURE_OPENAI_API_KEY="your_azure_key_here" # Optional, for Azure OpenAI models (requires endpoint in .taskmasterconfig).
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OLLAMA_API_KEY="your_ollama_api_key_here" # Optional: For remote Ollama servers that require authentication.
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OLLAMA_API_KEY="your_ollama_api_key_here" # Optional: For remote Ollama servers that require authentication.
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GITHUB_API_KEY="your_github_api_key_here" # Optional: For GitHub import/export features. Format: ghp_... or github_pat_...
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@@ -1,373 +1,373 @@
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{
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"meta": {
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"generatedAt": "2025-05-25T05:21:12.964Z",
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"tasksAnalyzed": 1,
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"totalTasks": 90,
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"analysisCount": 45,
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"thresholdScore": 5,
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"projectName": "Taskmaster",
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"usedResearch": true
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},
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"complexityAnalysis": [
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{
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"taskId": 24,
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"taskTitle": "Implement AI-Powered Test Generation Command",
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"complexityScore": 7,
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"recommendedSubtasks": 5,
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"expansionPrompt": "Break down the implementation of the AI-powered test generation command into detailed subtasks covering: command structure setup, AI prompt engineering, test file generation logic, integration with Claude API, and comprehensive error handling.",
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"reasoning": "This task involves complex integration with an AI service (Claude), requires sophisticated prompt engineering, and needs to generate structured code files. The existing 3 subtasks are a good start but could be expanded to include more detailed steps for AI integration, error handling, and test file formatting."
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},
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{
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"taskId": 26,
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"taskTitle": "Implement Context Foundation for AI Operations",
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"complexityScore": 6,
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"recommendedSubtasks": 4,
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"expansionPrompt": "The current 4 subtasks for implementing the context foundation appear comprehensive. Consider if any additional subtasks are needed for testing, documentation, or integration with existing systems.",
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"reasoning": "This task involves creating a foundation for context integration with several well-defined components. The existing 4 subtasks cover the main implementation areas (context-file flag, cursor rules integration, context extraction utility, and command handler updates). The complexity is moderate as it requires careful integration with existing systems but has clear requirements."
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},
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{
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"taskId": 27,
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"taskTitle": "Implement Context Enhancements for AI Operations",
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"complexityScore": 7,
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"recommendedSubtasks": 4,
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"expansionPrompt": "The current 4 subtasks for implementing context enhancements appear well-structured. Consider if any additional subtasks are needed for testing, documentation, or performance optimization.",
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"reasoning": "This task builds upon the foundation from Task #26 and adds more sophisticated context handling features. The 4 existing subtasks cover the main implementation areas (code context extraction, task history context, PRD context integration, and context formatting). The complexity is higher than the foundation task due to the need for intelligent context selection and optimization."
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},
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{
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"taskId": 28,
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"taskTitle": "Implement Advanced ContextManager System",
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"complexityScore": 8,
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"recommendedSubtasks": 5,
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"expansionPrompt": "The current 5 subtasks for implementing the advanced ContextManager system appear comprehensive. Consider if any additional subtasks are needed for testing, documentation, or backward compatibility with previous context implementations.",
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"reasoning": "This task represents the most complex phase of the context implementation, requiring a sophisticated class design, optimization algorithms, and integration with multiple systems. The 5 existing subtasks cover the core implementation areas, but the complexity is high due to the need for intelligent context prioritization, token management, and performance monitoring."
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},
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{
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"taskId": 40,
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"taskTitle": "Implement 'plan' Command for Task Implementation Planning",
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"complexityScore": 5,
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"recommendedSubtasks": 4,
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"expansionPrompt": "The current 4 subtasks for implementing the 'plan' command appear well-structured. Consider if any additional subtasks are needed for testing, documentation, or integration with existing task management workflows.",
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"reasoning": "This task involves creating a new command that leverages AI to generate implementation plans. The existing 4 subtasks cover the main implementation areas (retrieving task content, generating plans with AI, formatting in XML, and error handling). The complexity is moderate as it builds on existing patterns for task updates but requires careful AI integration."
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},
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{
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"taskId": 41,
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"taskTitle": "Implement Visual Task Dependency Graph in Terminal",
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"complexityScore": 8,
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"recommendedSubtasks": 10,
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"expansionPrompt": "The current 10 subtasks for implementing the visual task dependency graph appear comprehensive. Consider if any additional subtasks are needed for performance optimization with large graphs or additional visualization options.",
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"reasoning": "This task involves creating a sophisticated visualization system for terminal display, which is inherently complex due to layout algorithms, ASCII/Unicode rendering, and handling complex dependency relationships. The 10 existing subtasks cover all major aspects of implementation, from CLI interface to accessibility features."
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},
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{
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"taskId": 42,
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"taskTitle": "Implement MCP-to-MCP Communication Protocol",
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"complexityScore": 9,
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"recommendedSubtasks": 8,
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"expansionPrompt": "The current 8 subtasks for implementing the MCP-to-MCP communication protocol appear well-structured. Consider if any additional subtasks are needed for security hardening, performance optimization, or comprehensive documentation.",
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"reasoning": "This task involves designing and implementing a complex communication protocol between different MCP tools and servers. It requires sophisticated adapter patterns, client-server architecture, and handling of multiple operational modes. The complexity is very high due to the need for standardization, security, and backward compatibility."
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},
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{
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"taskId": 44,
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"taskTitle": "Implement Task Automation with Webhooks and Event Triggers",
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"complexityScore": 8,
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"recommendedSubtasks": 7,
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"expansionPrompt": "The current 7 subtasks for implementing task automation with webhooks appear comprehensive. Consider if any additional subtasks are needed for security testing, rate limiting implementation, or webhook monitoring tools.",
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"reasoning": "This task involves creating a sophisticated event system with webhooks for integration with external services. The complexity is high due to the need for secure authentication, reliable delivery mechanisms, and handling of various webhook formats and protocols. The existing subtasks cover the main implementation areas but security and monitoring could be emphasized more."
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},
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{
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"taskId": 45,
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"taskTitle": "Implement GitHub Issue Import Feature",
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"complexityScore": 6,
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"recommendedSubtasks": 5,
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"expansionPrompt": "The current 5 subtasks for implementing the GitHub issue import feature appear well-structured. Consider if any additional subtasks are needed for handling GitHub API rate limiting, caching, or supporting additional issue metadata.",
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"reasoning": "This task involves integrating with the GitHub API to import issues as tasks. The complexity is moderate as it requires API authentication, data mapping, and error handling. The existing 5 subtasks cover the main implementation areas from design to end-to-end implementation."
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},
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{
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"taskId": 46,
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"taskTitle": "Implement ICE Analysis Command for Task Prioritization",
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"complexityScore": 7,
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"recommendedSubtasks": 5,
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"expansionPrompt": "The current 5 subtasks for implementing the ICE analysis command appear comprehensive. Consider if any additional subtasks are needed for visualization of ICE scores or integration with other prioritization methods.",
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"reasoning": "This task involves creating an AI-powered analysis system for task prioritization using the ICE methodology. The complexity is high due to the need for sophisticated scoring algorithms, AI integration, and report generation. The existing subtasks cover the main implementation areas from algorithm design to integration with existing systems."
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},
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{
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"taskId": 47,
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"taskTitle": "Enhance Task Suggestion Actions Card Workflow",
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"complexityScore": 6,
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"recommendedSubtasks": 6,
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"expansionPrompt": "The current 6 subtasks for enhancing the task suggestion actions card workflow appear well-structured. Consider if any additional subtasks are needed for user testing, accessibility improvements, or performance optimization.",
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"reasoning": "This task involves redesigning the UI workflow for task expansion and management. The complexity is moderate as it requires careful UX design and state management but builds on existing components. The 6 existing subtasks cover the main implementation areas from design to testing."
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},
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{
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"taskId": 48,
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"taskTitle": "Refactor Prompts into Centralized Structure",
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"complexityScore": 4,
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"recommendedSubtasks": 3,
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"expansionPrompt": "The current 3 subtasks for refactoring prompts into a centralized structure appear appropriate. Consider if any additional subtasks are needed for prompt versioning, documentation, or testing.",
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"reasoning": "This task involves a straightforward refactoring to improve code organization. The complexity is relatively low as it primarily involves moving code rather than creating new functionality. The 3 existing subtasks cover the main implementation areas from directory structure to integration."
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},
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{
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"taskId": 49,
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"taskTitle": "Implement Code Quality Analysis Command",
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"complexityScore": 8,
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"recommendedSubtasks": 6,
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"expansionPrompt": "The current 6 subtasks for implementing the code quality analysis command appear comprehensive. Consider if any additional subtasks are needed for performance optimization with large codebases or integration with existing code quality tools.",
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"reasoning": "This task involves creating a sophisticated code analysis system with pattern recognition, best practice verification, and AI-powered recommendations. The complexity is high due to the need for code parsing, complex analysis algorithms, and integration with AI services. The existing subtasks cover the main implementation areas from algorithm design to user interface."
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},
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{
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"taskId": 50,
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"taskTitle": "Implement Test Coverage Tracking System by Task",
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"complexityScore": 9,
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"recommendedSubtasks": 5,
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"expansionPrompt": "The current 5 subtasks for implementing the test coverage tracking system appear well-structured. Consider if any additional subtasks are needed for integration with CI/CD systems, performance optimization, or visualization tools.",
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"reasoning": "This task involves creating a complex system that maps test coverage to specific tasks and subtasks. The complexity is very high due to the need for sophisticated data structures, integration with coverage tools, and AI-powered test generation. The existing subtasks are comprehensive and cover the main implementation areas from data structure design to AI integration."
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},
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{
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"taskId": 51,
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"taskTitle": "Implement Perplexity Research Command",
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"complexityScore": 6,
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"recommendedSubtasks": 5,
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"expansionPrompt": "The current 5 subtasks for implementing the Perplexity research command appear comprehensive. Consider if any additional subtasks are needed for caching optimization, result formatting, or integration with other research tools.",
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"reasoning": "This task involves creating a new command that integrates with the Perplexity AI API for research. The complexity is moderate as it requires API integration, context extraction, and result formatting. The 5 existing subtasks cover the main implementation areas from API client to caching system."
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},
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{
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"taskId": 52,
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"taskTitle": "Implement Task Suggestion Command for CLI",
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"complexityScore": 6,
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"recommendedSubtasks": 5,
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"expansionPrompt": "The current 5 subtasks for implementing the task suggestion command appear well-structured. Consider if any additional subtasks are needed for suggestion quality evaluation, user feedback collection, or integration with existing task workflows.",
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"reasoning": "This task involves creating a new CLI command that generates contextually relevant task suggestions using AI. The complexity is moderate as it requires AI integration, context collection, and interactive CLI interfaces. The existing subtasks cover the main implementation areas from data collection to user interface."
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},
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{
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"taskId": 53,
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"taskTitle": "Implement Subtask Suggestion Feature for Parent Tasks",
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"complexityScore": 6,
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"recommendedSubtasks": 6,
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"expansionPrompt": "The current 6 subtasks for implementing the subtask suggestion feature appear comprehensive. Consider if any additional subtasks are needed for suggestion quality metrics, user feedback collection, or performance optimization.",
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"reasoning": "This task involves creating a feature that suggests contextually relevant subtasks for parent tasks. The complexity is moderate as it builds on existing task management systems but requires sophisticated AI integration and context analysis. The 6 existing subtasks cover the main implementation areas from validation to testing."
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},
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{
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"taskId": 55,
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"taskTitle": "Implement Positional Arguments Support for CLI Commands",
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"complexityScore": 5,
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"recommendedSubtasks": 5,
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"expansionPrompt": "The current 5 subtasks for implementing positional arguments support appear well-structured. Consider if any additional subtasks are needed for backward compatibility testing, documentation updates, or user experience improvements.",
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"reasoning": "This task involves modifying the command parsing logic to support positional arguments alongside the existing flag-based syntax. The complexity is moderate as it requires careful handling of different argument styles and edge cases. The 5 existing subtasks cover the main implementation areas from analysis to documentation."
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},
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{
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"taskId": 57,
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"taskTitle": "Enhance Task-Master CLI User Experience and Interface",
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"complexityScore": 7,
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"recommendedSubtasks": 6,
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"expansionPrompt": "The current 6 subtasks for enhancing the CLI user experience appear comprehensive. Consider if any additional subtasks are needed for accessibility testing, internationalization, or performance optimization.",
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"reasoning": "This task involves a significant overhaul of the CLI interface to improve user experience. The complexity is high due to the breadth of changes (logging, visual elements, interactive components, etc.) and the need for consistent design across all commands. The 6 existing subtasks cover the main implementation areas from log management to help systems."
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},
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{
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"taskId": 60,
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"taskTitle": "Implement Mentor System with Round-Table Discussion Feature",
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"complexityScore": 8,
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"recommendedSubtasks": 7,
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"expansionPrompt": "The current 7 subtasks for implementing the mentor system appear well-structured. Consider if any additional subtasks are needed for mentor personality consistency, discussion quality evaluation, or performance optimization with multiple mentors.",
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"reasoning": "This task involves creating a sophisticated mentor simulation system with round-table discussions. The complexity is high due to the need for personality simulation, complex LLM integration, and structured discussion management. The 7 existing subtasks cover the main implementation areas from architecture to testing."
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},
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{
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"taskId": 62,
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"taskTitle": "Add --simple Flag to Update Commands for Direct Text Input",
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"complexityScore": 4,
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"recommendedSubtasks": 8,
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"expansionPrompt": "The current 8 subtasks for implementing the --simple flag appear comprehensive. Consider if any additional subtasks are needed for user experience testing or documentation updates.",
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"reasoning": "This task involves adding a simple flag option to bypass AI processing for updates. The complexity is relatively low as it primarily involves modifying existing command handlers and adding a flag. The 8 existing subtasks are very detailed and cover all aspects of implementation from command parsing to testing."
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},
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{
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"taskId": 63,
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"taskTitle": "Add pnpm Support for the Taskmaster Package",
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"complexityScore": 5,
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"recommendedSubtasks": 8,
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"expansionPrompt": "The current 8 subtasks for adding pnpm support appear comprehensive. Consider if any additional subtasks are needed for CI/CD integration, performance comparison, or documentation updates.",
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"reasoning": "This task involves ensuring the package works correctly with pnpm as an alternative package manager. The complexity is moderate as it requires careful testing of installation processes and scripts across different environments. The 8 existing subtasks cover all major aspects from documentation to binary verification."
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},
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{
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"taskId": 64,
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"taskTitle": "Add Yarn Support for Taskmaster Installation",
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"complexityScore": 5,
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"recommendedSubtasks": 9,
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"expansionPrompt": "The current 9 subtasks for adding Yarn support appear comprehensive. Consider if any additional subtasks are needed for performance testing, CI/CD integration, or compatibility with different Yarn versions.",
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"reasoning": "This task involves ensuring the package works correctly with Yarn as an alternative package manager. The complexity is moderate as it requires careful testing of installation processes and scripts across different environments. The 9 existing subtasks are very detailed and cover all aspects from configuration to testing."
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},
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{
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"taskId": 65,
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"taskTitle": "Add Bun Support for Taskmaster Installation",
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"complexityScore": 6,
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"recommendedSubtasks": 6,
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"expansionPrompt": "The current 6 subtasks for adding Bun support appear well-structured. Consider if any additional subtasks are needed for handling Bun-specific issues, performance testing, or documentation updates.",
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"reasoning": "This task involves adding support for the newer Bun package manager. The complexity is slightly higher than the other package manager tasks due to Bun's differences from Node.js and potential compatibility issues. The 6 existing subtasks cover the main implementation areas from research to documentation."
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},
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{
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"taskId": 67,
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"taskTitle": "Add CLI JSON output and Cursor keybindings integration",
|
||||
"complexityScore": 5,
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||||
"recommendedSubtasks": 5,
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"expansionPrompt": "The current 5 subtasks for implementing JSON output and Cursor keybindings appear well-structured. Consider if any additional subtasks are needed for testing across different operating systems, documentation updates, or user experience improvements.",
|
||||
"reasoning": "This task involves two distinct features: adding JSON output to CLI commands and creating a keybindings installation command. The complexity is moderate as it requires careful handling of different output formats and OS-specific file paths. The 5 existing subtasks cover the main implementation areas for both features."
|
||||
},
|
||||
{
|
||||
"taskId": 68,
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"taskTitle": "Ability to create tasks without parsing PRD",
|
||||
"complexityScore": 3,
|
||||
"recommendedSubtasks": 2,
|
||||
"expansionPrompt": "The current 2 subtasks for implementing task creation without PRD appear appropriate. Consider if any additional subtasks are needed for validation, error handling, or integration with existing task management workflows.",
|
||||
"reasoning": "This task involves a relatively simple modification to allow task creation without requiring a PRD document. The complexity is low as it primarily involves creating a form interface and saving functionality. The 2 existing subtasks cover the main implementation areas of UI design and data saving."
|
||||
},
|
||||
{
|
||||
"taskId": 72,
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||||
"taskTitle": "Implement PDF Generation for Project Progress and Dependency Overview",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "The current 6 subtasks for implementing PDF generation appear comprehensive. Consider if any additional subtasks are needed for handling large projects, additional visualization options, or integration with existing reporting tools.",
|
||||
"reasoning": "This task involves creating a feature to generate PDF reports of project progress and dependency visualization. The complexity is high due to the need for PDF generation, data collection, and visualization integration. The 6 existing subtasks cover the main implementation areas from library selection to export options."
|
||||
},
|
||||
{
|
||||
"taskId": 75,
|
||||
"taskTitle": "Integrate Google Search Grounding for Research Role",
|
||||
"complexityScore": 5,
|
||||
"recommendedSubtasks": 4,
|
||||
"expansionPrompt": "The current 4 subtasks for integrating Google Search Grounding appear well-structured. Consider if any additional subtasks are needed for testing with different query types, error handling, or performance optimization.",
|
||||
"reasoning": "This task involves updating the AI service layer to enable Google Search Grounding for research roles. The complexity is moderate as it requires careful integration with the existing AI service architecture and conditional logic. The 4 existing subtasks cover the main implementation areas from service layer modification to testing."
|
||||
},
|
||||
{
|
||||
"taskId": 76,
|
||||
"taskTitle": "Develop E2E Test Framework for Taskmaster MCP Server (FastMCP over stdio)",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 7,
|
||||
"expansionPrompt": "The current 7 subtasks for developing the E2E test framework appear comprehensive. Consider if any additional subtasks are needed for test result reporting, CI/CD integration, or performance benchmarking.",
|
||||
"reasoning": "This task involves creating a sophisticated end-to-end testing framework for the MCP server. The complexity is high due to the need for subprocess management, protocol handling, and robust test case definition. The 7 existing subtasks cover the main implementation areas from architecture to documentation."
|
||||
},
|
||||
{
|
||||
"taskId": 77,
|
||||
"taskTitle": "Implement AI Usage Telemetry for Taskmaster (with external analytics endpoint)",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 18,
|
||||
"expansionPrompt": "The current 18 subtasks for implementing AI usage telemetry appear very comprehensive. Consider if any additional subtasks are needed for security hardening, privacy compliance, or user feedback collection.",
|
||||
"reasoning": "This task involves creating a telemetry system to track AI usage metrics. The complexity is high due to the need for secure data transmission, comprehensive data collection, and integration across multiple commands. The 18 existing subtasks are extremely detailed and cover all aspects of implementation from core utility to provider-specific updates."
|
||||
},
|
||||
{
|
||||
"taskId": 80,
|
||||
"taskTitle": "Implement Unique User ID Generation and Storage During Installation",
|
||||
"complexityScore": 4,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "The current 5 subtasks for implementing unique user ID generation appear well-structured. Consider if any additional subtasks are needed for privacy compliance, security auditing, or integration with the telemetry system.",
|
||||
"reasoning": "This task involves generating and storing a unique user identifier during installation. The complexity is relatively low as it primarily involves UUID generation and configuration file management. The 5 existing subtasks cover the main implementation areas from script structure to documentation."
|
||||
},
|
||||
{
|
||||
"taskId": 81,
|
||||
"taskTitle": "Task #81: Implement Comprehensive Local Telemetry System with Future Server Integration Capability",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "The current 6 subtasks for implementing the comprehensive local telemetry system appear well-structured. Consider if any additional subtasks are needed for data migration, storage optimization, or visualization tools.",
|
||||
"reasoning": "This task involves expanding the telemetry system to capture additional metrics and implement local storage with future server integration capability. The complexity is high due to the breadth of data collection, storage requirements, and privacy considerations. The 6 existing subtasks cover the main implementation areas from data collection to user-facing benefits."
|
||||
},
|
||||
{
|
||||
"taskId": 82,
|
||||
"taskTitle": "Update supported-models.json with token limit fields",
|
||||
"complexityScore": 3,
|
||||
"recommendedSubtasks": 1,
|
||||
"expansionPrompt": "This task appears straightforward enough to be implemented without further subtasks. Focus on researching accurate token limit values for each model and ensuring backward compatibility.",
|
||||
"reasoning": "This task involves a simple update to the supported-models.json file to include new token limit fields. The complexity is low as it primarily involves research and data entry. No subtasks are necessary as the task is well-defined and focused."
|
||||
},
|
||||
{
|
||||
"taskId": 83,
|
||||
"taskTitle": "Update config-manager.js defaults and getters",
|
||||
"complexityScore": 4,
|
||||
"recommendedSubtasks": 1,
|
||||
"expansionPrompt": "This task appears straightforward enough to be implemented without further subtasks. Focus on updating the DEFAULTS object and related getter functions while maintaining backward compatibility.",
|
||||
"reasoning": "This task involves updating the config-manager.js module to replace maxTokens with more specific token limit fields. The complexity is relatively low as it primarily involves modifying existing code rather than creating new functionality. No subtasks are necessary as the task is well-defined and focused."
|
||||
},
|
||||
{
|
||||
"taskId": 84,
|
||||
"taskTitle": "Implement token counting utility",
|
||||
"complexityScore": 5,
|
||||
"recommendedSubtasks": 1,
|
||||
"expansionPrompt": "This task appears well-defined enough to be implemented without further subtasks. Focus on implementing accurate token counting for different models and proper fallback mechanisms.",
|
||||
"reasoning": "This task involves creating a utility function to count tokens for different AI models. The complexity is moderate as it requires integration with the tiktoken library and handling different tokenization schemes. No subtasks are necessary as the task is well-defined and focused."
|
||||
},
|
||||
{
|
||||
"taskId": 69,
|
||||
"taskTitle": "Enhance Analyze Complexity for Specific Task IDs",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "Break down the task 'Enhance Analyze Complexity for Specific Task IDs' into 6 subtasks focusing on: 1) Core logic modification to accept ID parameters, 2) Report merging functionality, 3) CLI interface updates, 4) MCP tool integration, 5) Documentation updates, and 6) Comprehensive testing across all components.",
|
||||
"reasoning": "This task involves modifying existing functionality across multiple components (core logic, CLI, MCP) with complex logic for filtering tasks and merging reports. The implementation requires careful handling of different parameter combinations and edge cases. The task has interdependent components that need to work together seamlessly, and the report merging functionality adds significant complexity."
|
||||
},
|
||||
{
|
||||
"taskId": 70,
|
||||
"taskTitle": "Implement 'diagram' command for Mermaid diagram generation",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "Break down the 'diagram' command implementation into 5 subtasks: 1) Command interface and parameter handling, 2) Task data extraction and transformation to Mermaid syntax, 3) Diagram rendering with status color coding, 4) Output formatting and file export functionality, and 5) Error handling and edge case management.",
|
||||
"reasoning": "This task requires implementing a new feature rather than modifying existing code, which reduces complexity from integration challenges. However, it involves working with visualization logic, dependency mapping, and multiple output formats. The color coding based on status and handling of dependency relationships adds moderate complexity. The task is well-defined but requires careful attention to diagram formatting and error handling."
|
||||
},
|
||||
{
|
||||
"taskId": 85,
|
||||
"taskTitle": "Update ai-services-unified.js for dynamic token limits",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "Break down the update of ai-services-unified.js for dynamic token limits into subtasks such as: (1) Import and integrate the token counting utility, (2) Refactor _unifiedServiceRunner to calculate and enforce dynamic token limits, (3) Update error handling for token limit violations, (4) Add and verify logging for token usage, (5) Write and execute tests for various prompt and model scenarios.",
|
||||
"reasoning": "This task involves significant code changes to a core function, integration of a new utility, dynamic logic for multiple models, and robust error handling. It also requires comprehensive testing for edge cases and integration, making it moderately complex and best managed by splitting into focused subtasks."
|
||||
},
|
||||
{
|
||||
"taskId": 86,
|
||||
"taskTitle": "Update .taskmasterconfig schema and user guide",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 4,
|
||||
"expansionPrompt": "Expand this task into subtasks: (1) Draft a migration guide for users, (2) Update user documentation to explain new config fields, (3) Modify schema validation logic in config-manager.js, (4) Test and validate backward compatibility and error messaging.",
|
||||
"reasoning": "The task spans documentation, schema changes, migration guidance, and validation logic. While not algorithmically complex, it requires careful coordination and thorough testing to ensure a smooth user transition and robust validation."
|
||||
},
|
||||
{
|
||||
"taskId": 87,
|
||||
"taskTitle": "Implement validation and error handling",
|
||||
"complexityScore": 5,
|
||||
"recommendedSubtasks": 4,
|
||||
"expansionPrompt": "Decompose this task into: (1) Add validation logic for model and config loading, (2) Implement error handling and fallback mechanisms, (3) Enhance logging and reporting for token usage, (4) Develop helper functions for configuration suggestions and improvements.",
|
||||
"reasoning": "This task is primarily about adding validation, error handling, and logging. While important for robustness, the logic is straightforward and can be modularized into a few clear subtasks."
|
||||
},
|
||||
{
|
||||
"taskId": 89,
|
||||
"taskTitle": "Introduce Prioritize Command with Enhanced Priority Levels",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "Expand this task into: (1) Implement the prioritize command with all required flags and shorthands, (2) Update CLI output and help documentation for new priority levels, (3) Ensure backward compatibility with existing commands, (4) Add error handling for invalid inputs, (5) Write and run tests for all command scenarios.",
|
||||
"reasoning": "This CLI feature requires command parsing, updating internal logic for new priority levels, documentation, and robust error handling. The complexity is moderate due to the need for backward compatibility and comprehensive testing."
|
||||
},
|
||||
{
|
||||
"taskId": 90,
|
||||
"taskTitle": "Implement Subtask Progress Analyzer and Reporting System",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "Break down the analyzer implementation into: (1) Design and implement progress tracking logic, (2) Develop status validation and issue detection, (3) Build the reporting system with multiple output formats, (4) Integrate analyzer with the existing task management system, (5) Optimize for performance and scalability, (6) Write unit, integration, and performance tests.",
|
||||
"reasoning": "This is a complex, multi-faceted feature involving data analysis, reporting, integration, and performance optimization. It touches many parts of the system and requires careful design, making it one of the most complex tasks in the list."
|
||||
},
|
||||
{
|
||||
"taskId": 91,
|
||||
"taskTitle": "Implement Move Command for Tasks and Subtasks",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "Expand this task into: (1) Implement move logic for tasks and subtasks, (2) Handle edge cases (invalid ids, non-existent parents, circular dependencies), (3) Update CLI to support move command with flags, (4) Ensure data integrity and update relationships, (5) Write and execute tests for various move scenarios.",
|
||||
"reasoning": "Moving tasks and subtasks requires careful handling of hierarchical data, edge cases, and data integrity. The command must be robust and user-friendly, necessitating multiple focused subtasks for safe implementation."
|
||||
},
|
||||
{
|
||||
"taskId": 92,
|
||||
"taskTitle": "Add Global Joke Flag to All CLI Commands",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 7,
|
||||
"expansionPrompt": "Break down the implementation of the global --joke flag into the following subtasks: (1) Update CLI foundation to support global flags, (2) Develop the joke-service module with joke management and category support, (3) Integrate joke output into existing output utilities, (4) Update all CLI commands for joke flag compatibility, (5) Add configuration options for joke categories and custom jokes, (6) Implement comprehensive testing (flag recognition, output, content, integration, performance, regression), (7) Update documentation and usage examples.",
|
||||
"reasoning": "This task requires changes across the CLI foundation, output utilities, all command modules, and configuration management. It introduces a new service module, global flag handling, and output logic that must not interfere with existing features (including JSON output). The need for robust testing and backward compatibility further increases complexity. The scope spans multiple code areas and requires careful integration, justifying a high complexity score and a detailed subtask breakdown to manage risk and ensure maintainability.[2][3][5]"
|
||||
},
|
||||
{
|
||||
"taskId": 94,
|
||||
"taskTitle": "Implement Standalone 'research' CLI Command for AI-Powered Queries",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "Break down the implementation of the 'research' CLI command into logical subtasks covering command registration, parameter handling, context gathering, AI service integration, output formatting, and documentation.",
|
||||
"reasoning": "This task has moderate to high complexity (7/10) due to multiple interconnected components: CLI argument parsing, integration with AI services, context gathering from various sources, and output formatting with different modes. The cyclomatic complexity would be significant with multiple decision paths for handling different flags and options. The task requires understanding existing patterns and extending the codebase in a consistent manner, suggesting the need for careful decomposition into manageable subtasks."
|
||||
}
|
||||
]
|
||||
}
|
||||
"meta": {
|
||||
"generatedAt": "2025-05-27T16:34:53.088Z",
|
||||
"tasksAnalyzed": 1,
|
||||
"totalTasks": 84,
|
||||
"analysisCount": 45,
|
||||
"thresholdScore": 5,
|
||||
"projectName": "Taskmaster",
|
||||
"usedResearch": true
|
||||
},
|
||||
"complexityAnalysis": [
|
||||
{
|
||||
"taskId": 24,
|
||||
"taskTitle": "Implement AI-Powered Test Generation Command",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "Break down the implementation of the AI-powered test generation command into detailed subtasks covering: command structure setup, AI prompt engineering, test file generation logic, integration with Claude API, and comprehensive error handling.",
|
||||
"reasoning": "This task involves complex integration with an AI service (Claude), requires sophisticated prompt engineering, and needs to generate structured code files. The existing 3 subtasks are a good start but could be expanded to include more detailed steps for AI integration, error handling, and test file formatting."
|
||||
},
|
||||
{
|
||||
"taskId": 26,
|
||||
"taskTitle": "Implement Context Foundation for AI Operations",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 4,
|
||||
"expansionPrompt": "The current 4 subtasks for implementing the context foundation appear comprehensive. Consider if any additional subtasks are needed for testing, documentation, or integration with existing systems.",
|
||||
"reasoning": "This task involves creating a foundation for context integration with several well-defined components. The existing 4 subtasks cover the main implementation areas (context-file flag, cursor rules integration, context extraction utility, and command handler updates). The complexity is moderate as it requires careful integration with existing systems but has clear requirements."
|
||||
},
|
||||
{
|
||||
"taskId": 27,
|
||||
"taskTitle": "Implement Context Enhancements for AI Operations",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 4,
|
||||
"expansionPrompt": "The current 4 subtasks for implementing context enhancements appear well-structured. Consider if any additional subtasks are needed for testing, documentation, or performance optimization.",
|
||||
"reasoning": "This task builds upon the foundation from Task #26 and adds more sophisticated context handling features. The 4 existing subtasks cover the main implementation areas (code context extraction, task history context, PRD context integration, and context formatting). The complexity is higher than the foundation task due to the need for intelligent context selection and optimization."
|
||||
},
|
||||
{
|
||||
"taskId": 28,
|
||||
"taskTitle": "Implement Advanced ContextManager System",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "The current 5 subtasks for implementing the advanced ContextManager system appear comprehensive. Consider if any additional subtasks are needed for testing, documentation, or backward compatibility with previous context implementations.",
|
||||
"reasoning": "This task represents the most complex phase of the context implementation, requiring a sophisticated class design, optimization algorithms, and integration with multiple systems. The 5 existing subtasks cover the core implementation areas, but the complexity is high due to the need for intelligent context prioritization, token management, and performance monitoring."
|
||||
},
|
||||
{
|
||||
"taskId": 40,
|
||||
"taskTitle": "Implement 'plan' Command for Task Implementation Planning",
|
||||
"complexityScore": 5,
|
||||
"recommendedSubtasks": 4,
|
||||
"expansionPrompt": "The current 4 subtasks for implementing the 'plan' command appear well-structured. Consider if any additional subtasks are needed for testing, documentation, or integration with existing task management workflows.",
|
||||
"reasoning": "This task involves creating a new command that leverages AI to generate implementation plans. The existing 4 subtasks cover the main implementation areas (retrieving task content, generating plans with AI, formatting in XML, and error handling). The complexity is moderate as it builds on existing patterns for task updates but requires careful AI integration."
|
||||
},
|
||||
{
|
||||
"taskId": 41,
|
||||
"taskTitle": "Implement Visual Task Dependency Graph in Terminal",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 10,
|
||||
"expansionPrompt": "The current 10 subtasks for implementing the visual task dependency graph appear comprehensive. Consider if any additional subtasks are needed for performance optimization with large graphs or additional visualization options.",
|
||||
"reasoning": "This task involves creating a sophisticated visualization system for terminal display, which is inherently complex due to layout algorithms, ASCII/Unicode rendering, and handling complex dependency relationships. The 10 existing subtasks cover all major aspects of implementation, from CLI interface to accessibility features."
|
||||
},
|
||||
{
|
||||
"taskId": 42,
|
||||
"taskTitle": "Implement MCP-to-MCP Communication Protocol",
|
||||
"complexityScore": 9,
|
||||
"recommendedSubtasks": 8,
|
||||
"expansionPrompt": "The current 8 subtasks for implementing the MCP-to-MCP communication protocol appear well-structured. Consider if any additional subtasks are needed for security hardening, performance optimization, or comprehensive documentation.",
|
||||
"reasoning": "This task involves designing and implementing a complex communication protocol between different MCP tools and servers. It requires sophisticated adapter patterns, client-server architecture, and handling of multiple operational modes. The complexity is very high due to the need for standardization, security, and backward compatibility."
|
||||
},
|
||||
{
|
||||
"taskId": 44,
|
||||
"taskTitle": "Implement Task Automation with Webhooks and Event Triggers",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 7,
|
||||
"expansionPrompt": "The current 7 subtasks for implementing task automation with webhooks appear comprehensive. Consider if any additional subtasks are needed for security testing, rate limiting implementation, or webhook monitoring tools.",
|
||||
"reasoning": "This task involves creating a sophisticated event system with webhooks for integration with external services. The complexity is high due to the need for secure authentication, reliable delivery mechanisms, and handling of various webhook formats and protocols. The existing subtasks cover the main implementation areas but security and monitoring could be emphasized more."
|
||||
},
|
||||
{
|
||||
"taskId": 45,
|
||||
"taskTitle": "Implement GitHub Issue Import Feature",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "The current 5 subtasks for implementing the GitHub issue import feature appear well-structured. Consider if any additional subtasks are needed for handling GitHub API rate limiting, caching, or supporting additional issue metadata.",
|
||||
"reasoning": "This task involves integrating with the GitHub API to import issues as tasks. The complexity is moderate as it requires API authentication, data mapping, and error handling. The existing 5 subtasks cover the main implementation areas from design to end-to-end implementation."
|
||||
},
|
||||
{
|
||||
"taskId": 46,
|
||||
"taskTitle": "Implement ICE Analysis Command for Task Prioritization",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "The current 5 subtasks for implementing the ICE analysis command appear comprehensive. Consider if any additional subtasks are needed for visualization of ICE scores or integration with other prioritization methods.",
|
||||
"reasoning": "This task involves creating an AI-powered analysis system for task prioritization using the ICE methodology. The complexity is high due to the need for sophisticated scoring algorithms, AI integration, and report generation. The existing subtasks cover the main implementation areas from algorithm design to integration with existing systems."
|
||||
},
|
||||
{
|
||||
"taskId": 47,
|
||||
"taskTitle": "Enhance Task Suggestion Actions Card Workflow",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "The current 6 subtasks for enhancing the task suggestion actions card workflow appear well-structured. Consider if any additional subtasks are needed for user testing, accessibility improvements, or performance optimization.",
|
||||
"reasoning": "This task involves redesigning the UI workflow for task expansion and management. The complexity is moderate as it requires careful UX design and state management but builds on existing components. The 6 existing subtasks cover the main implementation areas from design to testing."
|
||||
},
|
||||
{
|
||||
"taskId": 48,
|
||||
"taskTitle": "Refactor Prompts into Centralized Structure",
|
||||
"complexityScore": 4,
|
||||
"recommendedSubtasks": 3,
|
||||
"expansionPrompt": "The current 3 subtasks for refactoring prompts into a centralized structure appear appropriate. Consider if any additional subtasks are needed for prompt versioning, documentation, or testing.",
|
||||
"reasoning": "This task involves a straightforward refactoring to improve code organization. The complexity is relatively low as it primarily involves moving code rather than creating new functionality. The 3 existing subtasks cover the main implementation areas from directory structure to integration."
|
||||
},
|
||||
{
|
||||
"taskId": 49,
|
||||
"taskTitle": "Implement Code Quality Analysis Command",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "The current 6 subtasks for implementing the code quality analysis command appear comprehensive. Consider if any additional subtasks are needed for performance optimization with large codebases or integration with existing code quality tools.",
|
||||
"reasoning": "This task involves creating a sophisticated code analysis system with pattern recognition, best practice verification, and AI-powered recommendations. The complexity is high due to the need for code parsing, complex analysis algorithms, and integration with AI services. The existing subtasks cover the main implementation areas from algorithm design to user interface."
|
||||
},
|
||||
{
|
||||
"taskId": 50,
|
||||
"taskTitle": "Implement Test Coverage Tracking System by Task",
|
||||
"complexityScore": 9,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "The current 5 subtasks for implementing the test coverage tracking system appear well-structured. Consider if any additional subtasks are needed for integration with CI/CD systems, performance optimization, or visualization tools.",
|
||||
"reasoning": "This task involves creating a complex system that maps test coverage to specific tasks and subtasks. The complexity is very high due to the need for sophisticated data structures, integration with coverage tools, and AI-powered test generation. The existing subtasks are comprehensive and cover the main implementation areas from data structure design to AI integration."
|
||||
},
|
||||
{
|
||||
"taskId": 51,
|
||||
"taskTitle": "Implement Perplexity Research Command",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "The current 5 subtasks for implementing the Perplexity research command appear comprehensive. Consider if any additional subtasks are needed for caching optimization, result formatting, or integration with other research tools.",
|
||||
"reasoning": "This task involves creating a new command that integrates with the Perplexity AI API for research. The complexity is moderate as it requires API integration, context extraction, and result formatting. The 5 existing subtasks cover the main implementation areas from API client to caching system."
|
||||
},
|
||||
{
|
||||
"taskId": 52,
|
||||
"taskTitle": "Implement Task Suggestion Command for CLI",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "The current 5 subtasks for implementing the task suggestion command appear well-structured. Consider if any additional subtasks are needed for suggestion quality evaluation, user feedback collection, or integration with existing task workflows.",
|
||||
"reasoning": "This task involves creating a new CLI command that generates contextually relevant task suggestions using AI. The complexity is moderate as it requires AI integration, context collection, and interactive CLI interfaces. The existing subtasks cover the main implementation areas from data collection to user interface."
|
||||
},
|
||||
{
|
||||
"taskId": 53,
|
||||
"taskTitle": "Implement Subtask Suggestion Feature for Parent Tasks",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "The current 6 subtasks for implementing the subtask suggestion feature appear comprehensive. Consider if any additional subtasks are needed for suggestion quality metrics, user feedback collection, or performance optimization.",
|
||||
"reasoning": "This task involves creating a feature that suggests contextually relevant subtasks for parent tasks. The complexity is moderate as it builds on existing task management systems but requires sophisticated AI integration and context analysis. The 6 existing subtasks cover the main implementation areas from validation to testing."
|
||||
},
|
||||
{
|
||||
"taskId": 55,
|
||||
"taskTitle": "Implement Positional Arguments Support for CLI Commands",
|
||||
"complexityScore": 5,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "The current 5 subtasks for implementing positional arguments support appear well-structured. Consider if any additional subtasks are needed for backward compatibility testing, documentation updates, or user experience improvements.",
|
||||
"reasoning": "This task involves modifying the command parsing logic to support positional arguments alongside the existing flag-based syntax. The complexity is moderate as it requires careful handling of different argument styles and edge cases. The 5 existing subtasks cover the main implementation areas from analysis to documentation."
|
||||
},
|
||||
{
|
||||
"taskId": 57,
|
||||
"taskTitle": "Enhance Task-Master CLI User Experience and Interface",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "The current 6 subtasks for enhancing the CLI user experience appear comprehensive. Consider if any additional subtasks are needed for accessibility testing, internationalization, or performance optimization.",
|
||||
"reasoning": "This task involves a significant overhaul of the CLI interface to improve user experience. The complexity is high due to the breadth of changes (logging, visual elements, interactive components, etc.) and the need for consistent design across all commands. The 6 existing subtasks cover the main implementation areas from log management to help systems."
|
||||
},
|
||||
{
|
||||
"taskId": 60,
|
||||
"taskTitle": "Implement Mentor System with Round-Table Discussion Feature",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 7,
|
||||
"expansionPrompt": "The current 7 subtasks for implementing the mentor system appear well-structured. Consider if any additional subtasks are needed for mentor personality consistency, discussion quality evaluation, or performance optimization with multiple mentors.",
|
||||
"reasoning": "This task involves creating a sophisticated mentor simulation system with round-table discussions. The complexity is high due to the need for personality simulation, complex LLM integration, and structured discussion management. The 7 existing subtasks cover the main implementation areas from architecture to testing."
|
||||
},
|
||||
{
|
||||
"taskId": 62,
|
||||
"taskTitle": "Add --simple Flag to Update Commands for Direct Text Input",
|
||||
"complexityScore": 4,
|
||||
"recommendedSubtasks": 8,
|
||||
"expansionPrompt": "The current 8 subtasks for implementing the --simple flag appear comprehensive. Consider if any additional subtasks are needed for user experience testing or documentation updates.",
|
||||
"reasoning": "This task involves adding a simple flag option to bypass AI processing for updates. The complexity is relatively low as it primarily involves modifying existing command handlers and adding a flag. The 8 existing subtasks are very detailed and cover all aspects of implementation from command parsing to testing."
|
||||
},
|
||||
{
|
||||
"taskId": 63,
|
||||
"taskTitle": "Add pnpm Support for the Taskmaster Package",
|
||||
"complexityScore": 5,
|
||||
"recommendedSubtasks": 8,
|
||||
"expansionPrompt": "The current 8 subtasks for adding pnpm support appear comprehensive. Consider if any additional subtasks are needed for CI/CD integration, performance comparison, or documentation updates.",
|
||||
"reasoning": "This task involves ensuring the package works correctly with pnpm as an alternative package manager. The complexity is moderate as it requires careful testing of installation processes and scripts across different environments. The 8 existing subtasks cover all major aspects from documentation to binary verification."
|
||||
},
|
||||
{
|
||||
"taskId": 64,
|
||||
"taskTitle": "Add Yarn Support for Taskmaster Installation",
|
||||
"complexityScore": 5,
|
||||
"recommendedSubtasks": 9,
|
||||
"expansionPrompt": "The current 9 subtasks for adding Yarn support appear comprehensive. Consider if any additional subtasks are needed for performance testing, CI/CD integration, or compatibility with different Yarn versions.",
|
||||
"reasoning": "This task involves ensuring the package works correctly with Yarn as an alternative package manager. The complexity is moderate as it requires careful testing of installation processes and scripts across different environments. The 9 existing subtasks are very detailed and cover all aspects from configuration to testing."
|
||||
},
|
||||
{
|
||||
"taskId": 65,
|
||||
"taskTitle": "Add Bun Support for Taskmaster Installation",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "The current 6 subtasks for adding Bun support appear well-structured. Consider if any additional subtasks are needed for handling Bun-specific issues, performance testing, or documentation updates.",
|
||||
"reasoning": "This task involves adding support for the newer Bun package manager. The complexity is slightly higher than the other package manager tasks due to Bun's differences from Node.js and potential compatibility issues. The 6 existing subtasks cover the main implementation areas from research to documentation."
|
||||
},
|
||||
{
|
||||
"taskId": 67,
|
||||
"taskTitle": "Add CLI JSON output and Cursor keybindings integration",
|
||||
"complexityScore": 5,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "The current 5 subtasks for implementing JSON output and Cursor keybindings appear well-structured. Consider if any additional subtasks are needed for testing across different operating systems, documentation updates, or user experience improvements.",
|
||||
"reasoning": "This task involves two distinct features: adding JSON output to CLI commands and creating a keybindings installation command. The complexity is moderate as it requires careful handling of different output formats and OS-specific file paths. The 5 existing subtasks cover the main implementation areas for both features."
|
||||
},
|
||||
{
|
||||
"taskId": 68,
|
||||
"taskTitle": "Ability to create tasks without parsing PRD",
|
||||
"complexityScore": 3,
|
||||
"recommendedSubtasks": 2,
|
||||
"expansionPrompt": "The current 2 subtasks for implementing task creation without PRD appear appropriate. Consider if any additional subtasks are needed for validation, error handling, or integration with existing task management workflows.",
|
||||
"reasoning": "This task involves a relatively simple modification to allow task creation without requiring a PRD document. The complexity is low as it primarily involves creating a form interface and saving functionality. The 2 existing subtasks cover the main implementation areas of UI design and data saving."
|
||||
},
|
||||
{
|
||||
"taskId": 72,
|
||||
"taskTitle": "Implement PDF Generation for Project Progress and Dependency Overview",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "The current 6 subtasks for implementing PDF generation appear comprehensive. Consider if any additional subtasks are needed for handling large projects, additional visualization options, or integration with existing reporting tools.",
|
||||
"reasoning": "This task involves creating a feature to generate PDF reports of project progress and dependency visualization. The complexity is high due to the need for PDF generation, data collection, and visualization integration. The 6 existing subtasks cover the main implementation areas from library selection to export options."
|
||||
},
|
||||
{
|
||||
"taskId": 75,
|
||||
"taskTitle": "Integrate Google Search Grounding for Research Role",
|
||||
"complexityScore": 5,
|
||||
"recommendedSubtasks": 4,
|
||||
"expansionPrompt": "The current 4 subtasks for integrating Google Search Grounding appear well-structured. Consider if any additional subtasks are needed for testing with different query types, error handling, or performance optimization.",
|
||||
"reasoning": "This task involves updating the AI service layer to enable Google Search Grounding for research roles. The complexity is moderate as it requires careful integration with the existing AI service architecture and conditional logic. The 4 existing subtasks cover the main implementation areas from service layer modification to testing."
|
||||
},
|
||||
{
|
||||
"taskId": 76,
|
||||
"taskTitle": "Develop E2E Test Framework for Taskmaster MCP Server (FastMCP over stdio)",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 7,
|
||||
"expansionPrompt": "The current 7 subtasks for developing the E2E test framework appear comprehensive. Consider if any additional subtasks are needed for test result reporting, CI/CD integration, or performance benchmarking.",
|
||||
"reasoning": "This task involves creating a sophisticated end-to-end testing framework for the MCP server. The complexity is high due to the need for subprocess management, protocol handling, and robust test case definition. The 7 existing subtasks cover the main implementation areas from architecture to documentation."
|
||||
},
|
||||
{
|
||||
"taskId": 77,
|
||||
"taskTitle": "Implement AI Usage Telemetry for Taskmaster (with external analytics endpoint)",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 18,
|
||||
"expansionPrompt": "The current 18 subtasks for implementing AI usage telemetry appear very comprehensive. Consider if any additional subtasks are needed for security hardening, privacy compliance, or user feedback collection.",
|
||||
"reasoning": "This task involves creating a telemetry system to track AI usage metrics. The complexity is high due to the need for secure data transmission, comprehensive data collection, and integration across multiple commands. The 18 existing subtasks are extremely detailed and cover all aspects of implementation from core utility to provider-specific updates."
|
||||
},
|
||||
{
|
||||
"taskId": 80,
|
||||
"taskTitle": "Implement Unique User ID Generation and Storage During Installation",
|
||||
"complexityScore": 4,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "The current 5 subtasks for implementing unique user ID generation appear well-structured. Consider if any additional subtasks are needed for privacy compliance, security auditing, or integration with the telemetry system.",
|
||||
"reasoning": "This task involves generating and storing a unique user identifier during installation. The complexity is relatively low as it primarily involves UUID generation and configuration file management. The 5 existing subtasks cover the main implementation areas from script structure to documentation."
|
||||
},
|
||||
{
|
||||
"taskId": 81,
|
||||
"taskTitle": "Task #81: Implement Comprehensive Local Telemetry System with Future Server Integration Capability",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "The current 6 subtasks for implementing the comprehensive local telemetry system appear well-structured. Consider if any additional subtasks are needed for data migration, storage optimization, or visualization tools.",
|
||||
"reasoning": "This task involves expanding the telemetry system to capture additional metrics and implement local storage with future server integration capability. The complexity is high due to the breadth of data collection, storage requirements, and privacy considerations. The 6 existing subtasks cover the main implementation areas from data collection to user-facing benefits."
|
||||
},
|
||||
{
|
||||
"taskId": 82,
|
||||
"taskTitle": "Update supported-models.json with token limit fields",
|
||||
"complexityScore": 3,
|
||||
"recommendedSubtasks": 1,
|
||||
"expansionPrompt": "This task appears straightforward enough to be implemented without further subtasks. Focus on researching accurate token limit values for each model and ensuring backward compatibility.",
|
||||
"reasoning": "This task involves a simple update to the supported-models.json file to include new token limit fields. The complexity is low as it primarily involves research and data entry. No subtasks are necessary as the task is well-defined and focused."
|
||||
},
|
||||
{
|
||||
"taskId": 83,
|
||||
"taskTitle": "Update config-manager.js defaults and getters",
|
||||
"complexityScore": 4,
|
||||
"recommendedSubtasks": 1,
|
||||
"expansionPrompt": "This task appears straightforward enough to be implemented without further subtasks. Focus on updating the DEFAULTS object and related getter functions while maintaining backward compatibility.",
|
||||
"reasoning": "This task involves updating the config-manager.js module to replace maxTokens with more specific token limit fields. The complexity is relatively low as it primarily involves modifying existing code rather than creating new functionality. No subtasks are necessary as the task is well-defined and focused."
|
||||
},
|
||||
{
|
||||
"taskId": 84,
|
||||
"taskTitle": "Implement token counting utility",
|
||||
"complexityScore": 5,
|
||||
"recommendedSubtasks": 1,
|
||||
"expansionPrompt": "This task appears well-defined enough to be implemented without further subtasks. Focus on implementing accurate token counting for different models and proper fallback mechanisms.",
|
||||
"reasoning": "This task involves creating a utility function to count tokens for different AI models. The complexity is moderate as it requires integration with the tiktoken library and handling different tokenization schemes. No subtasks are necessary as the task is well-defined and focused."
|
||||
},
|
||||
{
|
||||
"taskId": 69,
|
||||
"taskTitle": "Enhance Analyze Complexity for Specific Task IDs",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "Break down the task 'Enhance Analyze Complexity for Specific Task IDs' into 6 subtasks focusing on: 1) Core logic modification to accept ID parameters, 2) Report merging functionality, 3) CLI interface updates, 4) MCP tool integration, 5) Documentation updates, and 6) Comprehensive testing across all components.",
|
||||
"reasoning": "This task involves modifying existing functionality across multiple components (core logic, CLI, MCP) with complex logic for filtering tasks and merging reports. The implementation requires careful handling of different parameter combinations and edge cases. The task has interdependent components that need to work together seamlessly, and the report merging functionality adds significant complexity."
|
||||
},
|
||||
{
|
||||
"taskId": 70,
|
||||
"taskTitle": "Implement 'diagram' command for Mermaid diagram generation",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "Break down the 'diagram' command implementation into 5 subtasks: 1) Command interface and parameter handling, 2) Task data extraction and transformation to Mermaid syntax, 3) Diagram rendering with status color coding, 4) Output formatting and file export functionality, and 5) Error handling and edge case management.",
|
||||
"reasoning": "This task requires implementing a new feature rather than modifying existing code, which reduces complexity from integration challenges. However, it involves working with visualization logic, dependency mapping, and multiple output formats. The color coding based on status and handling of dependency relationships adds moderate complexity. The task is well-defined but requires careful attention to diagram formatting and error handling."
|
||||
},
|
||||
{
|
||||
"taskId": 85,
|
||||
"taskTitle": "Update ai-services-unified.js for dynamic token limits",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "Break down the update of ai-services-unified.js for dynamic token limits into subtasks such as: (1) Import and integrate the token counting utility, (2) Refactor _unifiedServiceRunner to calculate and enforce dynamic token limits, (3) Update error handling for token limit violations, (4) Add and verify logging for token usage, (5) Write and execute tests for various prompt and model scenarios.",
|
||||
"reasoning": "This task involves significant code changes to a core function, integration of a new utility, dynamic logic for multiple models, and robust error handling. It also requires comprehensive testing for edge cases and integration, making it moderately complex and best managed by splitting into focused subtasks."
|
||||
},
|
||||
{
|
||||
"taskId": 87,
|
||||
"taskTitle": "Implement validation and error handling",
|
||||
"complexityScore": 5,
|
||||
"recommendedSubtasks": 4,
|
||||
"expansionPrompt": "Decompose this task into: (1) Add validation logic for model and config loading, (2) Implement error handling and fallback mechanisms, (3) Enhance logging and reporting for token usage, (4) Develop helper functions for configuration suggestions and improvements.",
|
||||
"reasoning": "This task is primarily about adding validation, error handling, and logging. While important for robustness, the logic is straightforward and can be modularized into a few clear subtasks."
|
||||
},
|
||||
{
|
||||
"taskId": 89,
|
||||
"taskTitle": "Introduce Prioritize Command with Enhanced Priority Levels",
|
||||
"complexityScore": 6,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "Expand this task into: (1) Implement the prioritize command with all required flags and shorthands, (2) Update CLI output and help documentation for new priority levels, (3) Ensure backward compatibility with existing commands, (4) Add error handling for invalid inputs, (5) Write and run tests for all command scenarios.",
|
||||
"reasoning": "This CLI feature requires command parsing, updating internal logic for new priority levels, documentation, and robust error handling. The complexity is moderate due to the need for backward compatibility and comprehensive testing."
|
||||
},
|
||||
{
|
||||
"taskId": 90,
|
||||
"taskTitle": "Implement Subtask Progress Analyzer and Reporting System",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "Break down the analyzer implementation into: (1) Design and implement progress tracking logic, (2) Develop status validation and issue detection, (3) Build the reporting system with multiple output formats, (4) Integrate analyzer with the existing task management system, (5) Optimize for performance and scalability, (6) Write unit, integration, and performance tests.",
|
||||
"reasoning": "This is a complex, multi-faceted feature involving data analysis, reporting, integration, and performance optimization. It touches many parts of the system and requires careful design, making it one of the most complex tasks in the list."
|
||||
},
|
||||
{
|
||||
"taskId": 91,
|
||||
"taskTitle": "Implement Move Command for Tasks and Subtasks",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 5,
|
||||
"expansionPrompt": "Expand this task into: (1) Implement move logic for tasks and subtasks, (2) Handle edge cases (invalid ids, non-existent parents, circular dependencies), (3) Update CLI to support move command with flags, (4) Ensure data integrity and update relationships, (5) Write and execute tests for various move scenarios.",
|
||||
"reasoning": "Moving tasks and subtasks requires careful handling of hierarchical data, edge cases, and data integrity. The command must be robust and user-friendly, necessitating multiple focused subtasks for safe implementation."
|
||||
},
|
||||
{
|
||||
"taskId": 92,
|
||||
"taskTitle": "Add Global Joke Flag to All CLI Commands",
|
||||
"complexityScore": 8,
|
||||
"recommendedSubtasks": 7,
|
||||
"expansionPrompt": "Break down the implementation of the global --joke flag into the following subtasks: (1) Update CLI foundation to support global flags, (2) Develop the joke-service module with joke management and category support, (3) Integrate joke output into existing output utilities, (4) Update all CLI commands for joke flag compatibility, (5) Add configuration options for joke categories and custom jokes, (6) Implement comprehensive testing (flag recognition, output, content, integration, performance, regression), (7) Update documentation and usage examples.",
|
||||
"reasoning": "This task requires changes across the CLI foundation, output utilities, all command modules, and configuration management. It introduces a new service module, global flag handling, and output logic that must not interfere with existing features (including JSON output). The need for robust testing and backward compatibility further increases complexity. The scope spans multiple code areas and requires careful integration, justifying a high complexity score and a detailed subtask breakdown to manage risk and ensure maintainability.[2][3][5]"
|
||||
},
|
||||
{
|
||||
"taskId": 94,
|
||||
"taskTitle": "Implement Standalone 'research' CLI Command for AI-Powered Queries",
|
||||
"complexityScore": 7,
|
||||
"recommendedSubtasks": 6,
|
||||
"expansionPrompt": "Break down the implementation of the 'research' CLI command into logical subtasks covering command registration, parameter handling, context gathering, AI service integration, output formatting, and documentation.",
|
||||
"reasoning": "This task has moderate to high complexity (7/10) due to multiple interconnected components: CLI argument parsing, integration with AI services, context gathering from various sources, and output formatting with different modes. The cyclomatic complexity would be significant with multiple decision paths for handling different flags and options. The task requires understanding existing patterns and extending the codebase in a consistent manner, suggesting the need for careful decomposition into manageable subtasks."
|
||||
},
|
||||
{
|
||||
"taskId": 86,
|
||||
"taskTitle": "Implement GitHub Issue Export Feature",
|
||||
"complexityScore": 9,
|
||||
"recommendedSubtasks": 10,
|
||||
"expansionPrompt": "Break down the implementation of the GitHub Issue Export Feature into detailed subtasks covering: command structure and CLI integration, GitHub API client development, authentication and error handling, task-to-issue mapping logic, content formatting and markdown conversion, bidirectional linking and metadata management, extensible architecture and adapter interfaces, configuration and settings management, documentation, and comprehensive testing (unit, integration, edge cases, performance).",
|
||||
"reasoning": "This task involves designing and implementing a robust, extensible export system with deep integration into GitHub, including bidirectional workflows, complex data mapping, error handling, and support for future platforms. The requirements span CLI design, API integration, content transformation, metadata management, extensibility, configuration, and extensive testing. The breadth and depth of these requirements, along with the need for maintainability and future extensibility, place this task at a high complexity level. Breaking it into at least 10 subtasks will ensure each major component and concern is addressed systematically, reducing risk and improving quality."
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -3,80 +3,132 @@
|
||||
# Status: pending
|
||||
# Dependencies: None
|
||||
# Priority: medium
|
||||
# Description: Add a '--from-github' flag to the add-task command that accepts a GitHub issue URL and automatically generates a corresponding task with relevant details. This feature works in conjunction with the GitHub export feature (Task #97) to provide bidirectional linking between Task Master tasks and GitHub issues.
|
||||
# Description: Implement a comprehensive LLM-powered 'import_task' command that can intelligently import tasks from GitHub Issues and Discussions. The system uses our existing ContextGatherer.js infrastructure to analyze the full context of GitHub content and automatically generate well-structured tasks with appropriate subtasks, priorities, and implementation details. This feature works in conjunction with the GitHub export feature (Task #97) to provide bidirectional linking between Task Master tasks and GitHub issues.
|
||||
# Details:
|
||||
Implement a new flag '--from-github' for the add-task command that allows users to create tasks directly from GitHub issues. The implementation should work seamlessly with the GitHub export feature (Task #97) to provide bidirectional linking capabilities.
|
||||
Implement a new 'import_task' command that leverages LLM-powered analysis to create comprehensive tasks from GitHub Issues and Discussions. The system should be designed as an extensible import framework that can support multiple platforms in the future.
|
||||
|
||||
Core functionality:
|
||||
1. Accept a GitHub issue URL as an argument (e.g., 'taskmaster add-task --from-github https://github.com/owner/repo/issues/123')
|
||||
2. Parse the URL to extract the repository owner, name, and issue number
|
||||
3. Use the GitHub API to fetch the issue details including:
|
||||
- Issue title (to be used as task title)
|
||||
- Issue description (to be used as task description)
|
||||
- Issue labels (to be potentially used as tags)
|
||||
- Issue assignees (for reference)
|
||||
- Issue status (open/closed)
|
||||
4. Generate a well-formatted task with this information
|
||||
5. **Automatically add GitHub link metadata** using the same schema as the export feature:
|
||||
- Store the source GitHub issue URL in task metadata
|
||||
- Use consistent metadata structure with export feature for bidirectional compatibility
|
||||
- Enable future synchronization capabilities
|
||||
6. Include a reference link back to the original GitHub issue in the task description
|
||||
7. Handle authentication for private repositories using GitHub tokens from environment variables or config file
|
||||
8. Implement proper error handling for:
|
||||
- Invalid URLs
|
||||
- Non-existent issues
|
||||
- API rate limiting
|
||||
- Authentication failures
|
||||
- Network issues
|
||||
9. **Validate GitHub links** during import to ensure they point to valid, accessible issues
|
||||
10. Allow users to override or supplement the imported details with additional command-line arguments
|
||||
11. Add appropriate documentation in help text and user guide, including information about the complementary export feature
|
||||
1. **New Command Structure**: Create 'import_task' command with source-specific subcommands:
|
||||
- 'taskmaster import_task github <URL>' for GitHub imports
|
||||
- Future: 'taskmaster import_task gitlab <URL>', 'taskmaster import_task linear <URL>', etc.
|
||||
|
||||
Bidirectional Integration:
|
||||
- Use the same metadata schema as Task #97 for GitHub links
|
||||
- Ensure imported tasks can be identified as GitHub-linked for future export operations
|
||||
- Prepare infrastructure for future synchronization between tasks and their source issues
|
||||
- Maintain consistency with export feature's link management approach
|
||||
2. **Multi-Source GitHub Support**: Automatically detect and handle:
|
||||
- GitHub Issues: https://github.com/owner/repo/issues/123
|
||||
- GitHub Discussions: https://github.com/owner/repo/discussions/456
|
||||
- Auto-detect URL type and use appropriate API endpoints
|
||||
|
||||
3. **LLM-Powered Context Analysis**: Integrate with ContextGatherer.js to:
|
||||
- Fetch complete GitHub content (main post + all comments/replies)
|
||||
- Analyze discussion threads and extract key insights
|
||||
- Identify references to our project components and codebase
|
||||
- Generate comprehensive task descriptions based on full context
|
||||
- Automatically create relevant subtasks from complex discussions
|
||||
- Determine appropriate priority levels based on content analysis
|
||||
- Suggest dependencies based on mentioned components/features
|
||||
|
||||
4. **Smart Content Processing**: The LLM should:
|
||||
- Parse markdown content and preserve important formatting
|
||||
- Extract actionable items from discussion threads
|
||||
- Identify implementation requirements and technical details
|
||||
- Convert complex discussions into structured task breakdowns
|
||||
- Generate appropriate test strategies based on the scope
|
||||
- Preserve important context while creating focused task descriptions
|
||||
|
||||
5. **Enhanced GitHub API Integration**:
|
||||
- Support GITHUB_API_KEY environment variable for authentication
|
||||
- Handle both public and private repository access
|
||||
- Fetch issue/discussion metadata (labels, assignees, status)
|
||||
- Retrieve complete comment threads with proper threading
|
||||
- Implement rate limiting and error handling
|
||||
|
||||
6. **Rich Metadata Storage**:
|
||||
- Source platform and original URL
|
||||
- Import timestamp and LLM model version used
|
||||
- Content hash for change detection and sync capabilities
|
||||
- Participant information and discussion context
|
||||
- GitHub-specific metadata (labels, assignees, status)
|
||||
- **Use consistent metadata schema with export feature (Task #97)**
|
||||
|
||||
7. **Future-Proof Architecture**:
|
||||
- Modular design supporting multiple import sources
|
||||
- Plugin-style architecture for new platforms
|
||||
- Extensible content type handling (issues, PRs, discussions, etc.)
|
||||
- Configurable LLM prompts for different content types
|
||||
|
||||
8. **Bidirectional Integration**:
|
||||
- Maintain compatibility with GitHub export feature
|
||||
- Enable round-trip workflows (import → modify → export)
|
||||
- Preserve source linking for synchronization capabilities
|
||||
- Support identification of imported vs. native tasks
|
||||
|
||||
9. **Error Handling and Validation**:
|
||||
- Validate GitHub URLs and accessibility
|
||||
- Handle API rate limiting gracefully
|
||||
- Provide meaningful error messages for various failure scenarios
|
||||
- Implement retry logic for transient failures
|
||||
- Validate LLM responses and handle generation errors
|
||||
|
||||
10. **Configuration and Customization**:
|
||||
- Allow users to customize LLM prompts for task generation
|
||||
- Support different import strategies (full vs. summary)
|
||||
- Enable filtering of comments by date, author, or relevance
|
||||
- Provide options for manual review before task creation
|
||||
|
||||
# Test Strategy:
|
||||
Testing should cover the following scenarios:
|
||||
Testing should cover the comprehensive LLM-powered import system:
|
||||
|
||||
1. Unit tests:
|
||||
- Test URL parsing functionality with valid and invalid GitHub issue URLs
|
||||
- Test GitHub API response parsing with mocked API responses
|
||||
- Test error handling for various failure cases
|
||||
- **Test metadata schema consistency with export feature**
|
||||
- **Test GitHub link validation functionality**
|
||||
1. **Unit Tests**:
|
||||
- Test URL parsing for GitHub Issues and Discussions
|
||||
- Test GitHub API client with mocked responses
|
||||
- Test LLM integration with ContextGatherer.js
|
||||
- Test metadata schema consistency with export feature
|
||||
- Test content processing and task generation logic
|
||||
- Test error handling for various failure scenarios
|
||||
|
||||
2. Integration tests:
|
||||
- Test with real GitHub public issues (use well-known repositories)
|
||||
- Test with both open and closed issues
|
||||
- Test with issues containing various elements (labels, assignees, comments)
|
||||
- **Test bidirectional compatibility with export feature**
|
||||
- **Verify metadata structure matches export feature requirements**
|
||||
2. **Integration Tests**:
|
||||
- Test with real GitHub Issues and Discussions (public repos)
|
||||
- Test LLM-powered analysis with various content types
|
||||
- Test ContextGatherer integration with GitHub content
|
||||
- Test bidirectional compatibility with export feature
|
||||
- Test metadata structure and storage
|
||||
- Test with different GitHub content complexities
|
||||
|
||||
3. Error case tests:
|
||||
- Invalid URL format
|
||||
- Non-existent repository
|
||||
- Non-existent issue number
|
||||
- API rate limit exceeded
|
||||
3. **LLM and Context Analysis Tests**:
|
||||
- Test task generation quality with various GitHub content types
|
||||
- Test subtask creation from complex discussions
|
||||
- Test priority and dependency inference
|
||||
- Test handling of code references and technical discussions
|
||||
- Test content summarization and structure preservation
|
||||
- Validate LLM prompt effectiveness and response quality
|
||||
|
||||
4. **Error Case Tests**:
|
||||
- Invalid or malformed GitHub URLs
|
||||
- Non-existent repositories or issues/discussions
|
||||
- API rate limit handling
|
||||
- Authentication failures for private repos
|
||||
- **Invalid or inaccessible GitHub links**
|
||||
- LLM service unavailability or errors
|
||||
- Network connectivity issues
|
||||
- Malformed or incomplete GitHub content
|
||||
|
||||
4. End-to-end tests:
|
||||
- Verify that a task created from a GitHub issue contains all expected information
|
||||
- **Verify that imported tasks contain proper GitHub link metadata**
|
||||
- Verify that the task can be properly managed after creation
|
||||
- Test the interaction with other flags and commands
|
||||
- **Test compatibility with export feature workflows**
|
||||
5. **End-to-End Tests**:
|
||||
- Complete import workflow from GitHub URL to created task
|
||||
- Verify task quality and completeness
|
||||
- Test metadata preservation and linking
|
||||
- Test compatibility with existing task management features
|
||||
- Verify bidirectional workflow with export feature
|
||||
|
||||
5. **Bidirectional feature tests**:
|
||||
- Import a GitHub issue and verify it can be exported back
|
||||
- Test metadata consistency between import and export operations
|
||||
- Verify link validation works correctly
|
||||
6. **Performance and Scalability Tests**:
|
||||
- Test with large GitHub discussions (many comments)
|
||||
- Test LLM processing time and resource usage
|
||||
- Test API rate limiting behavior
|
||||
- Test concurrent import operations
|
||||
|
||||
Create mock GitHub API responses for testing to avoid hitting rate limits during development and testing. Use environment variables to configure test credentials if needed.
|
||||
7. **Future Platform Preparation Tests**:
|
||||
- Test modular architecture extensibility
|
||||
- Verify plugin-style platform addition capability
|
||||
- Test configuration system flexibility
|
||||
|
||||
Create comprehensive mock data for GitHub API responses including various issue/discussion types, comment structures, and edge cases. Use environment variables for test credentials and LLM service configuration.
|
||||
|
||||
# Subtasks:
|
||||
## 1. Design GitHub API integration architecture [pending]
|
||||
@@ -121,3 +173,51 @@ Design and implement metadata structure that matches the export feature (Task #9
|
||||
### Details:
|
||||
Verify that tasks imported from GitHub can be properly exported back to GitHub. Implement checks to prevent duplicate exports of imported issues. Add metadata flags to identify imported tasks and their source repositories. Test round-trip workflows (import → modify → export) to ensure data integrity.
|
||||
|
||||
## 8. Design extensible import_task command architecture [pending]
|
||||
### Dependencies: None
|
||||
### Description: Create the foundational architecture for the new import_task command that supports multiple platforms and content types.
|
||||
### Details:
|
||||
Design modular command structure with platform-specific subcommands. Create plugin-style architecture for adding new import sources. Define interfaces for different content types (issues, discussions, PRs). Plan configuration system for platform-specific settings and LLM prompts. Document extensibility patterns for future platform additions.
|
||||
|
||||
## 9. Extend GitHub URL parsing for Issues and Discussions [pending]
|
||||
### Dependencies: 45.2, 45.8
|
||||
### Description: Enhance URL parsing to support both GitHub Issues and Discussions with automatic type detection.
|
||||
### Details:
|
||||
Extend existing URL parser to handle GitHub Discussions URLs. Implement automatic detection of content type (issue vs discussion). Update validation logic for both content types. Ensure consistent data extraction for owner, repo, and content ID regardless of type.
|
||||
|
||||
## 10. Implement comprehensive GitHub API client [pending]
|
||||
### Dependencies: 45.3, 45.9
|
||||
### Description: Create enhanced GitHub API client supporting both Issues and Discussions APIs with complete content fetching.
|
||||
### Details:
|
||||
Extend existing API client to support GitHub Discussions API. Implement complete content fetching including all comments and replies. Add support for GITHUB_API_KEY environment variable. Handle threaded discussions and comment hierarchies. Implement robust error handling and rate limiting for both API types.
|
||||
|
||||
## 11. Integrate ContextGatherer for LLM-powered analysis [pending]
|
||||
### Dependencies: 45.10
|
||||
### Description: Integrate with existing ContextGatherer.js to enable LLM-powered analysis of GitHub content.
|
||||
### Details:
|
||||
Adapt ContextGatherer.js to work with GitHub content as input source. Create GitHub-specific context gathering strategies. Implement content preprocessing for optimal LLM analysis. Add project component identification for GitHub discussions. Create prompts for task generation from GitHub content.
|
||||
|
||||
## 12. Implement LLM-powered task generation [pending]
|
||||
### Dependencies: 45.11
|
||||
### Description: Create the core LLM integration that analyzes GitHub content and generates comprehensive tasks with subtasks.
|
||||
### Details:
|
||||
Design LLM prompts for task generation from GitHub content. Implement automatic subtask creation from complex discussions. Add priority and dependency inference based on content analysis. Create test strategy generation from technical discussions. Implement quality validation for LLM-generated content. Add fallback mechanisms for LLM failures.
|
||||
|
||||
## 13. Enhance metadata system for rich import context [pending]
|
||||
### Dependencies: 45.6, 45.12
|
||||
### Description: Extend the metadata schema to store comprehensive import context and enable advanced features.
|
||||
### Details:
|
||||
Extend existing metadata schema with import-specific fields. Add source platform, import timestamp, and LLM model tracking. Implement content hash storage for change detection. Store participant information and discussion context. Add support for custom metadata per platform type. Ensure backward compatibility with existing export feature metadata.
|
||||
|
||||
## 14. Implement import_task command interface [pending]
|
||||
### Dependencies: 45.8, 45.12, 45.13
|
||||
### Description: Create the user-facing command interface for the new import_task system with GitHub support.
|
||||
### Details:
|
||||
Implement the main import_task command with GitHub subcommand. Add command-line argument parsing and validation. Create progress indicators for LLM processing. Implement user review and confirmation workflow. Add verbose output options for debugging. Create help documentation and usage examples.
|
||||
|
||||
## 15. Add comprehensive testing and validation [pending]
|
||||
### Dependencies: 45.14
|
||||
### Description: Implement comprehensive testing suite covering all aspects of the LLM-powered import system.
|
||||
### Details:
|
||||
Create unit tests for all new components. Implement integration tests with real GitHub content. Add LLM response validation and quality tests. Create performance tests for large discussions. Implement end-to-end workflow testing. Add mock data for consistent testing. Test bidirectional compatibility with export feature.
|
||||
|
||||
|
||||
161
tasks/task_086.txt
Normal file
161
tasks/task_086.txt
Normal file
@@ -0,0 +1,161 @@
|
||||
# Task ID: 86
|
||||
# Title: Implement GitHub Issue Export Feature
|
||||
# Status: pending
|
||||
# Dependencies: 45
|
||||
# Priority: high
|
||||
# Description: Create a comprehensive 'export_task' command that enables exporting Task Master tasks to GitHub Issues, providing bidirectional integration with the existing import functionality.
|
||||
# Details:
|
||||
Implement a robust 'export_task' command with the following components:
|
||||
|
||||
1. **Command Structure**:
|
||||
- Create a new 'export_task' command with destination-specific subcommands
|
||||
- Initial implementation should focus on GitHub integration
|
||||
- Command syntax: `taskmaster export_task github [options] <task_id>`
|
||||
- Support options for repository selection, issue type, and export configuration
|
||||
|
||||
2. **GitHub Issue Creation**:
|
||||
- Convert Task Master tasks into properly formatted GitHub issues
|
||||
- Map task title and description to GitHub issue fields
|
||||
- Convert implementation details and test strategy into well-structured issue body sections
|
||||
- Transform subtasks into GitHub task lists or optionally create separate linked issues
|
||||
- Map Task Master priorities, tags, and assignees to GitHub labels and assignees
|
||||
- Add Task Master metadata as hidden comments for bidirectional linking
|
||||
|
||||
3. **GitHub API Integration**:
|
||||
- Implement GitHub API client for issue creation and management
|
||||
- Support authentication via GITHUB_API_KEY environment variable
|
||||
- Handle repository access for both public and private repositories
|
||||
- Implement proper error handling for API failures
|
||||
- Add rate limiting support to prevent API abuse
|
||||
- Support milestone assignment if applicable
|
||||
|
||||
4. **Bidirectional Linking**:
|
||||
- Store GitHub issue URL and ID in task metadata
|
||||
- Use consistent metadata schema compatible with the import feature
|
||||
- Implement checks to prevent duplicate exports
|
||||
- Support updating existing GitHub issues if task has been modified
|
||||
- Enable round-trip workflows (export → modify in GitHub → re-import)
|
||||
|
||||
5. **Extensible Architecture**:
|
||||
- Design the export system to be platform-agnostic
|
||||
- Create adapter interfaces for different export destinations
|
||||
- Implement the GitHub adapter as the first concrete implementation
|
||||
- Allow for custom export templates and formatting rules
|
||||
- Document extension points for future platforms (GitLab, Linear, Jira, etc.)
|
||||
|
||||
6. **Content Formatting**:
|
||||
- Implement smart content conversion from Task Master format to GitHub-optimized format
|
||||
- Handle markdown conversion appropriately
|
||||
- Format code blocks, tables, and other structured content
|
||||
- Add appropriate GitHub-specific references and formatting
|
||||
- Ensure proper rendering of task relationships and dependencies
|
||||
|
||||
7. **Configuration and Settings**:
|
||||
- Add export-related configuration to Task Master settings
|
||||
- Support default repositories and export preferences
|
||||
- Allow customization of export templates and formatting
|
||||
- Implement export history tracking
|
||||
|
||||
8. **Documentation**:
|
||||
- Create comprehensive documentation for the export feature
|
||||
- Include examples and best practices
|
||||
- Document the bidirectional workflow with import feature
|
||||
|
||||
# Test Strategy:
|
||||
1. **Unit Tests**:
|
||||
- Create unit tests for each component of the export system
|
||||
- Test GitHub API client with mock responses
|
||||
- Verify correct task-to-issue conversion logic
|
||||
- Test bidirectional linking metadata handling
|
||||
- Validate error handling and edge cases
|
||||
|
||||
2. **Integration Tests**:
|
||||
- Test end-to-end export workflow with test GitHub repository
|
||||
- Verify created GitHub issues match expected format and content
|
||||
- Test round-trip workflow (export → import) to ensure data integrity
|
||||
- Validate behavior with various task types and structures
|
||||
- Test with both simple and complex tasks with subtasks
|
||||
|
||||
3. **Manual Testing Checklist**:
|
||||
- Export a simple task and verify all fields are correctly mapped
|
||||
- Export a complex task with subtasks and verify correct representation
|
||||
- Test exporting to different repositories and with different user permissions
|
||||
- Verify error messages are clear and helpful
|
||||
- Test updating an already-exported task
|
||||
- Verify bidirectional linking works correctly
|
||||
- Test the round-trip workflow with modifications in GitHub
|
||||
|
||||
4. **Edge Case Testing**:
|
||||
- Test with missing GitHub credentials
|
||||
- Test with invalid repository names
|
||||
- Test with rate-limited API responses
|
||||
- Test with very large tasks and content
|
||||
- Test with special characters and formatting in task content
|
||||
- Verify behavior when GitHub is unreachable
|
||||
|
||||
5. **Performance Testing**:
|
||||
- Measure export time for different task sizes
|
||||
- Test batch export of multiple tasks
|
||||
- Verify system handles GitHub API rate limits appropriately
|
||||
|
||||
# Subtasks:
|
||||
## 1. Design CLI Command Structure [pending]
|
||||
### Dependencies: None
|
||||
### Description: Define the command-line interface structure for the GitHub Issue Export Feature
|
||||
### Details:
|
||||
Create a comprehensive CLI design including command syntax, argument parsing, help documentation, and user feedback mechanisms. Define flags for filtering issues by state, labels, assignees, and date ranges. Include options for output format selection (JSON, CSV, XLSX) and destination path configuration.
|
||||
|
||||
## 2. Develop GitHub API Client [pending]
|
||||
### Dependencies: None
|
||||
### Description: Create a robust client for interacting with GitHub's REST and GraphQL APIs
|
||||
### Details:
|
||||
Implement a client library that handles API rate limiting, pagination, and response parsing. Support both REST and GraphQL endpoints for optimal performance. Include methods for fetching issues, comments, labels, milestones, and user data with appropriate caching mechanisms to minimize API calls.
|
||||
|
||||
## 3. Implement Authentication System [pending]
|
||||
### Dependencies: 86.2
|
||||
### Description: Build a secure authentication system for GitHub API access
|
||||
### Details:
|
||||
Develop authentication flows supporting personal access tokens, OAuth, and GitHub Apps. Implement secure credential storage with appropriate encryption. Create comprehensive error handling for authentication failures, token expiration, and permission issues with clear user feedback.
|
||||
|
||||
## 4. Create Task-to-Issue Mapping Logic [pending]
|
||||
### Dependencies: 86.2, 86.3
|
||||
### Description: Develop the core logic for mapping GitHub issues to task structures
|
||||
### Details:
|
||||
Implement data models and transformation logic to convert GitHub issues into structured task objects. Handle relationships between issues including parent-child relationships, dependencies, and linked issues. Support task lists within issue bodies and map them to subtasks with appropriate status tracking.
|
||||
|
||||
## 5. Build Content Formatting Engine [pending]
|
||||
### Dependencies: 86.4
|
||||
### Description: Create a system for formatting and converting issue content
|
||||
### Details:
|
||||
Develop a markdown processing engine that handles GitHub Flavored Markdown. Implement converters for transforming content to various formats (plain text, HTML, etc.). Create utilities for handling embedded images, code blocks, and other rich content elements while preserving formatting integrity.
|
||||
|
||||
## 6. Implement Bidirectional Linking System [pending]
|
||||
### Dependencies: 86.4, 86.5
|
||||
### Description: Develop mechanisms for maintaining bidirectional links between exported data and GitHub
|
||||
### Details:
|
||||
Create a reference system that maintains links between exported tasks and their source GitHub issues. Implement metadata preservation to enable round-trip workflows. Design a change tracking system to support future synchronization capabilities between exported data and GitHub.
|
||||
|
||||
## 7. Design Extensible Architecture [pending]
|
||||
### Dependencies: 86.4, 86.5, 86.6
|
||||
### Description: Create an adapter-based architecture for supporting multiple export formats and destinations
|
||||
### Details:
|
||||
Implement a plugin architecture with adapter interfaces for different output formats (JSON, CSV, XLSX) and destinations (file system, cloud storage, third-party tools). Create a registry system for dynamically loading adapters. Design clean separation between core logic and format-specific implementations.
|
||||
|
||||
## 8. Develop Configuration Management [pending]
|
||||
### Dependencies: 86.1, 86.7
|
||||
### Description: Build a robust system for managing user configurations and preferences
|
||||
### Details:
|
||||
Implement configuration file handling with support for multiple locations (global, project-specific). Create a settings management system with validation and defaults. Support environment variable overrides and command-line parameter precedence. Include migration paths for configuration format changes.
|
||||
|
||||
## 9. Create Comprehensive Documentation [pending]
|
||||
### Dependencies: 86.1, 86.7, 86.8
|
||||
### Description: Develop detailed documentation for users and contributors
|
||||
### Details:
|
||||
Write user-facing documentation including installation guides, command references, and usage examples. Create developer documentation covering architecture, extension points, and contribution guidelines. Implement automated documentation generation from code comments. Prepare tutorials for common use cases and integration scenarios.
|
||||
|
||||
## 10. Implement Testing Framework [pending]
|
||||
### Dependencies: 86.1, 86.2, 86.3, 86.4, 86.5, 86.6, 86.7, 86.8
|
||||
### Description: Develop a comprehensive testing strategy and implementation
|
||||
### Details:
|
||||
Create unit tests for all core components with high coverage targets. Implement integration tests for GitHub API interactions using mocks and fixtures. Design end-to-end tests for complete workflows. Develop performance tests for large repositories and stress testing. Create a test suite for edge cases including rate limiting, network failures, and malformed data.
|
||||
|
||||
213
tasks/tasks.json
213
tasks/tasks.json
@@ -2712,12 +2712,12 @@
|
||||
{
|
||||
"id": 45,
|
||||
"title": "Implement GitHub Issue Import Feature",
|
||||
"description": "Add a '--from-github' flag to the add-task command that accepts a GitHub issue URL and automatically generates a corresponding task with relevant details. This feature works in conjunction with the GitHub export feature (Task #97) to provide bidirectional linking between Task Master tasks and GitHub issues.",
|
||||
"description": "Implement a comprehensive LLM-powered 'import_task' command that can intelligently import tasks from GitHub Issues and Discussions. The system uses our existing ContextGatherer.js infrastructure to analyze the full context of GitHub content and automatically generate well-structured tasks with appropriate subtasks, priorities, and implementation details. This feature works in conjunction with the GitHub export feature (Task #97) to provide bidirectional linking between Task Master tasks and GitHub issues.",
|
||||
"status": "pending",
|
||||
"dependencies": [],
|
||||
"priority": "medium",
|
||||
"details": "Implement a new flag '--from-github' for the add-task command that allows users to create tasks directly from GitHub issues. The implementation should work seamlessly with the GitHub export feature (Task #97) to provide bidirectional linking capabilities.\n\nCore functionality:\n1. Accept a GitHub issue URL as an argument (e.g., 'taskmaster add-task --from-github https://github.com/owner/repo/issues/123')\n2. Parse the URL to extract the repository owner, name, and issue number\n3. Use the GitHub API to fetch the issue details including:\n - Issue title (to be used as task title)\n - Issue description (to be used as task description)\n - Issue labels (to be potentially used as tags)\n - Issue assignees (for reference)\n - Issue status (open/closed)\n4. Generate a well-formatted task with this information\n5. **Automatically add GitHub link metadata** using the same schema as the export feature:\n - Store the source GitHub issue URL in task metadata\n - Use consistent metadata structure with export feature for bidirectional compatibility\n - Enable future synchronization capabilities\n6. Include a reference link back to the original GitHub issue in the task description\n7. Handle authentication for private repositories using GitHub tokens from environment variables or config file\n8. Implement proper error handling for:\n - Invalid URLs\n - Non-existent issues\n - API rate limiting\n - Authentication failures\n - Network issues\n9. **Validate GitHub links** during import to ensure they point to valid, accessible issues\n10. Allow users to override or supplement the imported details with additional command-line arguments\n11. Add appropriate documentation in help text and user guide, including information about the complementary export feature\n\nBidirectional Integration:\n- Use the same metadata schema as Task #97 for GitHub links\n- Ensure imported tasks can be identified as GitHub-linked for future export operations\n- Prepare infrastructure for future synchronization between tasks and their source issues\n- Maintain consistency with export feature's link management approach",
|
||||
"testStrategy": "Testing should cover the following scenarios:\n\n1. Unit tests:\n - Test URL parsing functionality with valid and invalid GitHub issue URLs\n - Test GitHub API response parsing with mocked API responses\n - Test error handling for various failure cases\n - **Test metadata schema consistency with export feature**\n - **Test GitHub link validation functionality**\n\n2. Integration tests:\n - Test with real GitHub public issues (use well-known repositories)\n - Test with both open and closed issues\n - Test with issues containing various elements (labels, assignees, comments)\n - **Test bidirectional compatibility with export feature**\n - **Verify metadata structure matches export feature requirements**\n\n3. Error case tests:\n - Invalid URL format\n - Non-existent repository\n - Non-existent issue number\n - API rate limit exceeded\n - Authentication failures for private repos\n - **Invalid or inaccessible GitHub links**\n\n4. End-to-end tests:\n - Verify that a task created from a GitHub issue contains all expected information\n - **Verify that imported tasks contain proper GitHub link metadata**\n - Verify that the task can be properly managed after creation\n - Test the interaction with other flags and commands\n - **Test compatibility with export feature workflows**\n\n5. **Bidirectional feature tests**:\n - Import a GitHub issue and verify it can be exported back\n - Test metadata consistency between import and export operations\n - Verify link validation works correctly\n\nCreate mock GitHub API responses for testing to avoid hitting rate limits during development and testing. Use environment variables to configure test credentials if needed.",
|
||||
"details": "Implement a new 'import_task' command that leverages LLM-powered analysis to create comprehensive tasks from GitHub Issues and Discussions. The system should be designed as an extensible import framework that can support multiple platforms in the future.\n\nCore functionality:\n1. **New Command Structure**: Create 'import_task' command with source-specific subcommands:\n - 'taskmaster import_task github <URL>' for GitHub imports\n - Future: 'taskmaster import_task gitlab <URL>', 'taskmaster import_task linear <URL>', etc.\n\n2. **Multi-Source GitHub Support**: Automatically detect and handle:\n - GitHub Issues: https://github.com/owner/repo/issues/123\n - GitHub Discussions: https://github.com/owner/repo/discussions/456\n - Auto-detect URL type and use appropriate API endpoints\n\n3. **LLM-Powered Context Analysis**: Integrate with ContextGatherer.js to:\n - Fetch complete GitHub content (main post + all comments/replies)\n - Analyze discussion threads and extract key insights\n - Identify references to our project components and codebase\n - Generate comprehensive task descriptions based on full context\n - Automatically create relevant subtasks from complex discussions\n - Determine appropriate priority levels based on content analysis\n - Suggest dependencies based on mentioned components/features\n\n4. **Smart Content Processing**: The LLM should:\n - Parse markdown content and preserve important formatting\n - Extract actionable items from discussion threads\n - Identify implementation requirements and technical details\n - Convert complex discussions into structured task breakdowns\n - Generate appropriate test strategies based on the scope\n - Preserve important context while creating focused task descriptions\n\n5. **Enhanced GitHub API Integration**:\n - Support GITHUB_API_KEY environment variable for authentication\n - Handle both public and private repository access\n - Fetch issue/discussion metadata (labels, assignees, status)\n - Retrieve complete comment threads with proper threading\n - Implement rate limiting and error handling\n\n6. **Rich Metadata Storage**:\n - Source platform and original URL\n - Import timestamp and LLM model version used\n - Content hash for change detection and sync capabilities\n - Participant information and discussion context\n - GitHub-specific metadata (labels, assignees, status)\n - **Use consistent metadata schema with export feature (Task #97)**\n\n7. **Future-Proof Architecture**:\n - Modular design supporting multiple import sources\n - Plugin-style architecture for new platforms\n - Extensible content type handling (issues, PRs, discussions, etc.)\n - Configurable LLM prompts for different content types\n\n8. **Bidirectional Integration**:\n - Maintain compatibility with GitHub export feature\n - Enable round-trip workflows (import → modify → export)\n - Preserve source linking for synchronization capabilities\n - Support identification of imported vs. native tasks\n\n9. **Error Handling and Validation**:\n - Validate GitHub URLs and accessibility\n - Handle API rate limiting gracefully\n - Provide meaningful error messages for various failure scenarios\n - Implement retry logic for transient failures\n - Validate LLM responses and handle generation errors\n\n10. **Configuration and Customization**:\n - Allow users to customize LLM prompts for task generation\n - Support different import strategies (full vs. summary)\n - Enable filtering of comments by date, author, or relevance\n - Provide options for manual review before task creation",
|
||||
"testStrategy": "Testing should cover the comprehensive LLM-powered import system:\n\n1. **Unit Tests**:\n - Test URL parsing for GitHub Issues and Discussions\n - Test GitHub API client with mocked responses\n - Test LLM integration with ContextGatherer.js\n - Test metadata schema consistency with export feature\n - Test content processing and task generation logic\n - Test error handling for various failure scenarios\n\n2. **Integration Tests**:\n - Test with real GitHub Issues and Discussions (public repos)\n - Test LLM-powered analysis with various content types\n - Test ContextGatherer integration with GitHub content\n - Test bidirectional compatibility with export feature\n - Test metadata structure and storage\n - Test with different GitHub content complexities\n\n3. **LLM and Context Analysis Tests**:\n - Test task generation quality with various GitHub content types\n - Test subtask creation from complex discussions\n - Test priority and dependency inference\n - Test handling of code references and technical discussions\n - Test content summarization and structure preservation\n - Validate LLM prompt effectiveness and response quality\n\n4. **Error Case Tests**:\n - Invalid or malformed GitHub URLs\n - Non-existent repositories or issues/discussions\n - API rate limit handling\n - Authentication failures for private repos\n - LLM service unavailability or errors\n - Network connectivity issues\n - Malformed or incomplete GitHub content\n\n5. **End-to-End Tests**:\n - Complete import workflow from GitHub URL to created task\n - Verify task quality and completeness\n - Test metadata preservation and linking\n - Test compatibility with existing task management features\n - Verify bidirectional workflow with export feature\n\n6. **Performance and Scalability Tests**:\n - Test with large GitHub discussions (many comments)\n - Test LLM processing time and resource usage\n - Test API rate limiting behavior\n - Test concurrent import operations\n\n7. **Future Platform Preparation Tests**:\n - Test modular architecture extensibility\n - Verify plugin-style platform addition capability\n - Test configuration system flexibility\n\nCreate comprehensive mock data for GitHub API responses including various issue/discussion types, comment structures, and edge cases. Use environment variables for test credentials and LLM service configuration.",
|
||||
"subtasks": [
|
||||
{
|
||||
"id": 1,
|
||||
@@ -2785,6 +2785,89 @@
|
||||
],
|
||||
"details": "Verify that tasks imported from GitHub can be properly exported back to GitHub. Implement checks to prevent duplicate exports of imported issues. Add metadata flags to identify imported tasks and their source repositories. Test round-trip workflows (import → modify → export) to ensure data integrity.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 8,
|
||||
"title": "Design extensible import_task command architecture",
|
||||
"description": "Create the foundational architecture for the new import_task command that supports multiple platforms and content types.",
|
||||
"dependencies": [],
|
||||
"details": "Design modular command structure with platform-specific subcommands. Create plugin-style architecture for adding new import sources. Define interfaces for different content types (issues, discussions, PRs). Plan configuration system for platform-specific settings and LLM prompts. Document extensibility patterns for future platform additions.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 9,
|
||||
"title": "Extend GitHub URL parsing for Issues and Discussions",
|
||||
"description": "Enhance URL parsing to support both GitHub Issues and Discussions with automatic type detection.",
|
||||
"dependencies": [
|
||||
2,
|
||||
8
|
||||
],
|
||||
"details": "Extend existing URL parser to handle GitHub Discussions URLs. Implement automatic detection of content type (issue vs discussion). Update validation logic for both content types. Ensure consistent data extraction for owner, repo, and content ID regardless of type.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 10,
|
||||
"title": "Implement comprehensive GitHub API client",
|
||||
"description": "Create enhanced GitHub API client supporting both Issues and Discussions APIs with complete content fetching.",
|
||||
"dependencies": [
|
||||
3,
|
||||
9
|
||||
],
|
||||
"details": "Extend existing API client to support GitHub Discussions API. Implement complete content fetching including all comments and replies. Add support for GITHUB_API_KEY environment variable. Handle threaded discussions and comment hierarchies. Implement robust error handling and rate limiting for both API types.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 11,
|
||||
"title": "Integrate ContextGatherer for LLM-powered analysis",
|
||||
"description": "Integrate with existing ContextGatherer.js to enable LLM-powered analysis of GitHub content.",
|
||||
"dependencies": [
|
||||
10
|
||||
],
|
||||
"details": "Adapt ContextGatherer.js to work with GitHub content as input source. Create GitHub-specific context gathering strategies. Implement content preprocessing for optimal LLM analysis. Add project component identification for GitHub discussions. Create prompts for task generation from GitHub content.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 12,
|
||||
"title": "Implement LLM-powered task generation",
|
||||
"description": "Create the core LLM integration that analyzes GitHub content and generates comprehensive tasks with subtasks.",
|
||||
"dependencies": [
|
||||
11
|
||||
],
|
||||
"details": "Design LLM prompts for task generation from GitHub content. Implement automatic subtask creation from complex discussions. Add priority and dependency inference based on content analysis. Create test strategy generation from technical discussions. Implement quality validation for LLM-generated content. Add fallback mechanisms for LLM failures.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 13,
|
||||
"title": "Enhance metadata system for rich import context",
|
||||
"description": "Extend the metadata schema to store comprehensive import context and enable advanced features.",
|
||||
"dependencies": [
|
||||
6,
|
||||
12
|
||||
],
|
||||
"details": "Extend existing metadata schema with import-specific fields. Add source platform, import timestamp, and LLM model tracking. Implement content hash storage for change detection. Store participant information and discussion context. Add support for custom metadata per platform type. Ensure backward compatibility with existing export feature metadata.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 14,
|
||||
"title": "Implement import_task command interface",
|
||||
"description": "Create the user-facing command interface for the new import_task system with GitHub support.",
|
||||
"dependencies": [
|
||||
8,
|
||||
12,
|
||||
13
|
||||
],
|
||||
"details": "Implement the main import_task command with GitHub subcommand. Add command-line argument parsing and validation. Create progress indicators for LLM processing. Implement user review and confirmation workflow. Add verbose output options for debugging. Create help documentation and usage examples.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 15,
|
||||
"title": "Add comprehensive testing and validation",
|
||||
"description": "Implement comprehensive testing suite covering all aspects of the LLM-powered import system.",
|
||||
"dependencies": [
|
||||
14
|
||||
],
|
||||
"details": "Create unit tests for all new components. Implement integration tests with real GitHub content. Add LLM response validation and quality tests. Create performance tests for large discussions. Implement end-to-end workflow testing. Add mock data for consistent testing. Test bidirectional compatibility with export feature.",
|
||||
"status": "pending"
|
||||
}
|
||||
]
|
||||
},
|
||||
@@ -5585,6 +5668,130 @@
|
||||
"parentTaskId": 85
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 86,
|
||||
"title": "Implement GitHub Issue Export Feature",
|
||||
"description": "Create a comprehensive 'export_task' command that enables exporting Task Master tasks to GitHub Issues, providing bidirectional integration with the existing import functionality.",
|
||||
"details": "Implement a robust 'export_task' command with the following components:\n\n1. **Command Structure**:\n - Create a new 'export_task' command with destination-specific subcommands\n - Initial implementation should focus on GitHub integration\n - Command syntax: `taskmaster export_task github [options] <task_id>`\n - Support options for repository selection, issue type, and export configuration\n\n2. **GitHub Issue Creation**:\n - Convert Task Master tasks into properly formatted GitHub issues\n - Map task title and description to GitHub issue fields\n - Convert implementation details and test strategy into well-structured issue body sections\n - Transform subtasks into GitHub task lists or optionally create separate linked issues\n - Map Task Master priorities, tags, and assignees to GitHub labels and assignees\n - Add Task Master metadata as hidden comments for bidirectional linking\n\n3. **GitHub API Integration**:\n - Implement GitHub API client for issue creation and management\n - Support authentication via GITHUB_API_KEY environment variable\n - Handle repository access for both public and private repositories\n - Implement proper error handling for API failures\n - Add rate limiting support to prevent API abuse\n - Support milestone assignment if applicable\n\n4. **Bidirectional Linking**:\n - Store GitHub issue URL and ID in task metadata\n - Use consistent metadata schema compatible with the import feature\n - Implement checks to prevent duplicate exports\n - Support updating existing GitHub issues if task has been modified\n - Enable round-trip workflows (export → modify in GitHub → re-import)\n\n5. **Extensible Architecture**:\n - Design the export system to be platform-agnostic\n - Create adapter interfaces for different export destinations\n - Implement the GitHub adapter as the first concrete implementation\n - Allow for custom export templates and formatting rules\n - Document extension points for future platforms (GitLab, Linear, Jira, etc.)\n\n6. **Content Formatting**:\n - Implement smart content conversion from Task Master format to GitHub-optimized format\n - Handle markdown conversion appropriately\n - Format code blocks, tables, and other structured content\n - Add appropriate GitHub-specific references and formatting\n - Ensure proper rendering of task relationships and dependencies\n\n7. **Configuration and Settings**:\n - Add export-related configuration to Task Master settings\n - Support default repositories and export preferences\n - Allow customization of export templates and formatting\n - Implement export history tracking\n\n8. **Documentation**:\n - Create comprehensive documentation for the export feature\n - Include examples and best practices\n - Document the bidirectional workflow with import feature",
|
||||
"testStrategy": "1. **Unit Tests**:\n - Create unit tests for each component of the export system\n - Test GitHub API client with mock responses\n - Verify correct task-to-issue conversion logic\n - Test bidirectional linking metadata handling\n - Validate error handling and edge cases\n\n2. **Integration Tests**:\n - Test end-to-end export workflow with test GitHub repository\n - Verify created GitHub issues match expected format and content\n - Test round-trip workflow (export → import) to ensure data integrity\n - Validate behavior with various task types and structures\n - Test with both simple and complex tasks with subtasks\n\n3. **Manual Testing Checklist**:\n - Export a simple task and verify all fields are correctly mapped\n - Export a complex task with subtasks and verify correct representation\n - Test exporting to different repositories and with different user permissions\n - Verify error messages are clear and helpful\n - Test updating an already-exported task\n - Verify bidirectional linking works correctly\n - Test the round-trip workflow with modifications in GitHub\n\n4. **Edge Case Testing**:\n - Test with missing GitHub credentials\n - Test with invalid repository names\n - Test with rate-limited API responses\n - Test with very large tasks and content\n - Test with special characters and formatting in task content\n - Verify behavior when GitHub is unreachable\n\n5. **Performance Testing**:\n - Measure export time for different task sizes\n - Test batch export of multiple tasks\n - Verify system handles GitHub API rate limits appropriately",
|
||||
"status": "pending",
|
||||
"dependencies": [
|
||||
45
|
||||
],
|
||||
"priority": "high",
|
||||
"subtasks": [
|
||||
{
|
||||
"id": 1,
|
||||
"title": "Design CLI Command Structure",
|
||||
"description": "Define the command-line interface structure for the GitHub Issue Export Feature",
|
||||
"dependencies": [],
|
||||
"details": "Create a comprehensive CLI design including command syntax, argument parsing, help documentation, and user feedback mechanisms. Define flags for filtering issues by state, labels, assignees, and date ranges. Include options for output format selection (JSON, CSV, XLSX) and destination path configuration.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"title": "Develop GitHub API Client",
|
||||
"description": "Create a robust client for interacting with GitHub's REST and GraphQL APIs",
|
||||
"dependencies": [],
|
||||
"details": "Implement a client library that handles API rate limiting, pagination, and response parsing. Support both REST and GraphQL endpoints for optimal performance. Include methods for fetching issues, comments, labels, milestones, and user data with appropriate caching mechanisms to minimize API calls.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"title": "Implement Authentication System",
|
||||
"description": "Build a secure authentication system for GitHub API access",
|
||||
"dependencies": [
|
||||
2
|
||||
],
|
||||
"details": "Develop authentication flows supporting personal access tokens, OAuth, and GitHub Apps. Implement secure credential storage with appropriate encryption. Create comprehensive error handling for authentication failures, token expiration, and permission issues with clear user feedback.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 4,
|
||||
"title": "Create Task-to-Issue Mapping Logic",
|
||||
"description": "Develop the core logic for mapping GitHub issues to task structures",
|
||||
"dependencies": [
|
||||
2,
|
||||
3
|
||||
],
|
||||
"details": "Implement data models and transformation logic to convert GitHub issues into structured task objects. Handle relationships between issues including parent-child relationships, dependencies, and linked issues. Support task lists within issue bodies and map them to subtasks with appropriate status tracking.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 5,
|
||||
"title": "Build Content Formatting Engine",
|
||||
"description": "Create a system for formatting and converting issue content",
|
||||
"dependencies": [
|
||||
4
|
||||
],
|
||||
"details": "Develop a markdown processing engine that handles GitHub Flavored Markdown. Implement converters for transforming content to various formats (plain text, HTML, etc.). Create utilities for handling embedded images, code blocks, and other rich content elements while preserving formatting integrity.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 6,
|
||||
"title": "Implement Bidirectional Linking System",
|
||||
"description": "Develop mechanisms for maintaining bidirectional links between exported data and GitHub",
|
||||
"dependencies": [
|
||||
4,
|
||||
5
|
||||
],
|
||||
"details": "Create a reference system that maintains links between exported tasks and their source GitHub issues. Implement metadata preservation to enable round-trip workflows. Design a change tracking system to support future synchronization capabilities between exported data and GitHub.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 7,
|
||||
"title": "Design Extensible Architecture",
|
||||
"description": "Create an adapter-based architecture for supporting multiple export formats and destinations",
|
||||
"dependencies": [
|
||||
4,
|
||||
5,
|
||||
6
|
||||
],
|
||||
"details": "Implement a plugin architecture with adapter interfaces for different output formats (JSON, CSV, XLSX) and destinations (file system, cloud storage, third-party tools). Create a registry system for dynamically loading adapters. Design clean separation between core logic and format-specific implementations.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 8,
|
||||
"title": "Develop Configuration Management",
|
||||
"description": "Build a robust system for managing user configurations and preferences",
|
||||
"dependencies": [
|
||||
1,
|
||||
7
|
||||
],
|
||||
"details": "Implement configuration file handling with support for multiple locations (global, project-specific). Create a settings management system with validation and defaults. Support environment variable overrides and command-line parameter precedence. Include migration paths for configuration format changes.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 9,
|
||||
"title": "Create Comprehensive Documentation",
|
||||
"description": "Develop detailed documentation for users and contributors",
|
||||
"dependencies": [
|
||||
1,
|
||||
7,
|
||||
8
|
||||
],
|
||||
"details": "Write user-facing documentation including installation guides, command references, and usage examples. Create developer documentation covering architecture, extension points, and contribution guidelines. Implement automated documentation generation from code comments. Prepare tutorials for common use cases and integration scenarios.",
|
||||
"status": "pending"
|
||||
},
|
||||
{
|
||||
"id": 10,
|
||||
"title": "Implement Testing Framework",
|
||||
"description": "Develop a comprehensive testing strategy and implementation",
|
||||
"dependencies": [
|
||||
1,
|
||||
2,
|
||||
3,
|
||||
4,
|
||||
5,
|
||||
6,
|
||||
7,
|
||||
8
|
||||
],
|
||||
"details": "Create unit tests for all core components with high coverage targets. Implement integration tests for GitHub API interactions using mocks and fixtures. Design end-to-end tests for complete workflows. Develop performance tests for large repositories and stress testing. Create a test suite for edge cases including rate limiting, network failures, and malformed data.",
|
||||
"status": "pending"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user