203 lines
19 KiB
JSON
203 lines
19 KiB
JSON
{
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"meta": {
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"generatedAt": "2025-03-24T20:01:35.986Z",
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"tasksAnalyzed": 24,
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"thresholdScore": 5,
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"projectName": "Your Project Name",
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"usedResearch": false
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},
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"complexityAnalysis": [
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{
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"taskId": 1,
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"taskTitle": "Implement Task Data Structure",
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"complexityScore": 7,
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"recommendedSubtasks": 5,
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"expansionPrompt": "Break down the implementation of the core tasks.json data structure into subtasks that cover schema design, model implementation, validation, file operations, and error handling. For each subtask, include specific technical requirements and acceptance criteria.",
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"reasoning": "This task requires designing a foundational data structure that will be used throughout the system. It involves schema design, validation logic, and file system operations, which together represent moderate to high complexity. The task is critical as many other tasks depend on it."
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},
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{
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"taskId": 2,
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"taskTitle": "Develop Command Line Interface Foundation",
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"complexityScore": 6,
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"recommendedSubtasks": 4,
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"expansionPrompt": "Divide the CLI foundation implementation into subtasks covering Commander.js setup, help documentation creation, console output formatting, and global options handling. Each subtask should specify implementation details and how it integrates with the overall CLI structure.",
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"reasoning": "Setting up the CLI foundation requires integrating Commander.js, implementing various command-line options, and establishing the output formatting system. The complexity is moderate as it involves creating the interface layer that users will interact with."
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},
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{
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"taskId": 3,
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"taskTitle": "Implement Basic Task Operations",
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"complexityScore": 8,
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"recommendedSubtasks": 5,
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"expansionPrompt": "Break down the implementation of basic task operations into subtasks covering CRUD operations, status management, dependency handling, and priority management. Each subtask should detail the specific operations, validation requirements, and error cases to handle.",
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"reasoning": "This task encompasses multiple operations (create, read, update, delete) along with status changes, dependency management, and priority handling. It represents high complexity due to the breadth of functionality and the need to ensure data integrity across operations."
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},
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{
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"taskId": 4,
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"taskTitle": "Create Task File Generation System",
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"complexityScore": 7,
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"recommendedSubtasks": 4,
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"expansionPrompt": "Divide the task file generation system into subtasks covering template creation, file generation logic, bi-directional synchronization, and file organization. Each subtask should specify the technical approach, edge cases to handle, and integration points with the task data structure.",
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"reasoning": "Implementing file generation with bi-directional synchronization presents significant complexity due to the need to maintain consistency between individual files and the central tasks.json. The system must handle updates in either direction and resolve potential conflicts."
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},
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{
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"taskId": 5,
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"taskTitle": "Integrate Anthropic Claude API",
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"complexityScore": 6,
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"recommendedSubtasks": 4,
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"expansionPrompt": "Break down the Claude API integration into subtasks covering authentication setup, prompt template creation, response handling, and error management with retries. Each subtask should detail the specific implementation approach, including security considerations and performance optimizations.",
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"reasoning": "Integrating with the Claude API involves setting up authentication, creating effective prompts, and handling responses and errors. The complexity is moderate, focusing on establishing a reliable connection to the external service with proper error handling and retry logic."
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},
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{
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"taskId": 6,
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"taskTitle": "Build PRD Parsing System",
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"complexityScore": 8,
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"recommendedSubtasks": 5,
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"expansionPrompt": "Divide the PRD parsing system into subtasks covering file reading, prompt engineering, content-to-task conversion, dependency inference, priority assignment, and handling large documents. Each subtask should specify the AI interaction approach, data transformation steps, and validation requirements.",
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"reasoning": "Parsing PRDs into structured tasks requires sophisticated prompt engineering and intelligent processing of unstructured text. The complexity is high due to the need to accurately extract tasks, infer dependencies, and handle potentially large documents with varying formats."
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},
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{
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"taskId": 7,
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"taskTitle": "Implement Task Expansion with Claude",
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"complexityScore": 7,
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"recommendedSubtasks": 4,
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"expansionPrompt": "Break down the task expansion functionality into subtasks covering prompt creation for subtask generation, expansion workflow implementation, parent-child relationship management, and regeneration mechanisms. Each subtask should detail the AI interaction patterns, data structures, and user experience considerations.",
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"reasoning": "Task expansion involves complex AI interactions to generate meaningful subtasks and manage their relationships with parent tasks. The complexity comes from creating effective prompts that produce useful subtasks and implementing a smooth workflow for users to generate and refine these subtasks."
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},
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{
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"taskId": 8,
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"taskTitle": "Develop Implementation Drift Handling",
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"complexityScore": 9,
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"recommendedSubtasks": 5,
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"expansionPrompt": "Divide the implementation drift handling into subtasks covering change detection, task rewriting based on new context, dependency chain updates, work preservation, and update suggestion analysis. Each subtask should specify the algorithms, heuristics, and AI prompts needed to effectively manage implementation changes.",
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"reasoning": "This task involves the complex challenge of updating future tasks based on changes in implementation. It requires sophisticated analysis of completed work, understanding how it affects pending tasks, and intelligently updating those tasks while preserving dependencies. This represents high complexity due to the need for context-aware AI reasoning."
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},
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{
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"taskId": 9,
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"taskTitle": "Integrate Perplexity API",
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"complexityScore": 5,
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"recommendedSubtasks": 3,
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"expansionPrompt": "Break down the Perplexity API integration into subtasks covering authentication setup, research-oriented prompt creation, response handling, and fallback mechanisms. Each subtask should detail the implementation approach, integration with existing systems, and quality comparison metrics.",
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"reasoning": "Similar to the Claude integration but slightly less complex, this task focuses on connecting to the Perplexity API for research capabilities. The complexity is moderate, involving API authentication, prompt templates, and response handling with fallback mechanisms to Claude."
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},
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{
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"taskId": 10,
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"taskTitle": "Create Research-Backed Subtask Generation",
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"complexityScore": 7,
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"recommendedSubtasks": 4,
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"expansionPrompt": "Divide the research-backed subtask generation into subtasks covering domain-specific prompt creation, context enrichment from research, knowledge incorporation, and detailed subtask generation. Each subtask should specify the approach for leveraging research data and integrating it into the generation process.",
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"reasoning": "This task builds on previous work to enhance subtask generation with research capabilities. The complexity comes from effectively incorporating research results into the generation process and creating domain-specific prompts that produce high-quality, detailed subtasks with best practices."
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},
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{
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"taskId": 11,
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"taskTitle": "Implement Batch Operations",
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"complexityScore": 6,
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"recommendedSubtasks": 4,
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"expansionPrompt": "Break down the batch operations functionality into subtasks covering multi-task status updates, bulk subtask generation, task filtering/querying, and batch prioritization. Each subtask should detail the command interface, implementation approach, and performance considerations for handling multiple tasks.",
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"reasoning": "Implementing batch operations requires extending existing functionality to work with multiple tasks simultaneously. The complexity is moderate, focusing on efficient processing of task sets, filtering capabilities, and maintaining data consistency across bulk operations."
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},
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{
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"taskId": 12,
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"taskTitle": "Develop Project Initialization System",
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"complexityScore": 6,
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"recommendedSubtasks": 4,
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"expansionPrompt": "Divide the project initialization system into subtasks covering project templating, interactive setup wizard, environment configuration, directory structure creation, and example generation. Each subtask should specify the user interaction flow, template design, and integration with existing components.",
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"reasoning": "Creating a project initialization system involves setting up templates, an interactive wizard, and generating initial files and directories. The complexity is moderate, focusing on providing a smooth setup experience for new projects with appropriate defaults and configuration."
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},
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{
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"taskId": 13,
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"taskTitle": "Create Cursor Rules Implementation",
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"complexityScore": 5,
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"recommendedSubtasks": 3,
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"expansionPrompt": "Break down the Cursor rules implementation into subtasks covering documentation creation (dev_workflow.mdc, cursor_rules.mdc, self_improve.mdc), directory structure setup, and integration documentation. Each subtask should detail the specific content to include and how it enables effective AI interaction.",
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"reasoning": "This task focuses on creating documentation and rules for Cursor AI integration. The complexity is moderate, involving the creation of structured documentation files that define how AI should interact with the system and setting up the appropriate directory structure."
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},
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{
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"taskId": 14,
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"taskTitle": "Develop Agent Workflow Guidelines",
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"complexityScore": 5,
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"recommendedSubtasks": 3,
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"expansionPrompt": "Divide the agent workflow guidelines into subtasks covering task discovery documentation, selection guidelines, implementation guidance, verification procedures, and prioritization rules. Each subtask should specify the specific guidance to provide and how it enables effective agent workflows.",
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"reasoning": "Creating comprehensive guidelines for AI agents involves documenting workflows, selection criteria, and implementation guidance. The complexity is moderate, focusing on clear documentation that helps agents interact effectively with the task system."
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},
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{
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"taskId": 15,
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"taskTitle": "Optimize Agent Integration with Cursor and dev.js Commands",
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"complexityScore": 6,
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"recommendedSubtasks": 4,
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"expansionPrompt": "Break down the agent integration optimization into subtasks covering existing pattern documentation, Cursor-dev.js command integration enhancement, workflow documentation improvement, and feature additions. Each subtask should specify the specific improvements to make and how they enhance agent interaction.",
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"reasoning": "This task involves enhancing and documenting existing agent interaction patterns with Cursor and dev.js commands. The complexity is moderate, focusing on improving integration between different components and ensuring agents can effectively utilize the system's capabilities."
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},
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{
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"taskId": 16,
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"taskTitle": "Create Configuration Management System",
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"complexityScore": 6,
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"recommendedSubtasks": 4,
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"expansionPrompt": "Divide the configuration management system into subtasks covering environment variable handling, .env file support, configuration validation, defaults with overrides, and secure API key handling. Each subtask should specify the implementation approach, security considerations, and user experience for configuration.",
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"reasoning": "Implementing robust configuration management involves handling environment variables, .env files, validation, and secure storage of sensitive information. The complexity is moderate, focusing on creating a flexible system that works across different environments with appropriate security measures."
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},
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{
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"taskId": 17,
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"taskTitle": "Implement Comprehensive Logging System",
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"complexityScore": 5,
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"recommendedSubtasks": 3,
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"expansionPrompt": "Break down the logging system implementation into subtasks covering log level configuration, output destination management, specialized logging (commands, APIs, errors), and performance metrics. Each subtask should detail the implementation approach, configuration options, and integration with existing components.",
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"reasoning": "Creating a comprehensive logging system involves implementing multiple log levels, configurable destinations, and specialized logging for different components. The complexity is moderate, focusing on providing useful information for debugging and monitoring while maintaining performance."
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},
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{
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"taskId": 18,
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"taskTitle": "Create Comprehensive User Documentation",
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"complexityScore": 7,
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"recommendedSubtasks": 5,
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"expansionPrompt": "Divide the user documentation creation into subtasks covering README with installation instructions, command reference, configuration guide, example workflows, troubleshooting guides, and advanced usage. Each subtask should specify the content to include, format, and organization to ensure comprehensive coverage.",
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"reasoning": "Creating comprehensive documentation requires covering installation, usage, configuration, examples, and troubleshooting across multiple components. The complexity is moderate to high due to the breadth of functionality to document and the need to make it accessible to different user levels."
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},
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{
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"taskId": 19,
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"taskTitle": "Implement Error Handling and Recovery",
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"complexityScore": 8,
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"recommendedSubtasks": 5,
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"expansionPrompt": "Break down the error handling implementation into subtasks covering consistent error formatting, helpful error messages, API error handling with retries, file system error recovery, validation errors, and system state recovery. Each subtask should detail the specific error types to handle, recovery strategies, and user communication approach.",
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"reasoning": "Implementing robust error handling across the entire system represents high complexity due to the variety of error types, the need for meaningful messages, and the implementation of recovery mechanisms. This task is critical for system reliability and user experience."
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},
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{
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"taskId": 20,
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"taskTitle": "Create Token Usage Tracking and Cost Management",
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"complexityScore": 7,
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"recommendedSubtasks": 4,
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"expansionPrompt": "Divide the token tracking and cost management into subtasks covering usage tracking implementation, configurable limits, reporting features, cost estimation, caching for optimization, and usage alerts. Each subtask should specify the implementation approach, data storage, and user interface for monitoring and managing usage.",
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"reasoning": "Implementing token usage tracking involves monitoring API calls, calculating costs, implementing limits, and optimizing usage through caching. The complexity is moderate to high, focusing on providing users with visibility into their API consumption and tools to manage costs."
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},
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{
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"taskId": 21,
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"taskTitle": "Refactor dev.js into Modular Components",
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"complexityScore": 8,
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"recommendedSubtasks": 5,
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"expansionPrompt": "Break down the refactoring of dev.js into subtasks covering module design (commands.js, ai-services.js, task-manager.js, ui.js, utils.js), entry point restructuring, dependency management, error handling standardization, and documentation. Each subtask should detail the specific code to extract, interfaces to define, and integration points between modules.",
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"reasoning": "Refactoring a monolithic file into modular components represents high complexity due to the need to identify appropriate boundaries, manage dependencies between modules, and ensure all functionality is preserved. This requires deep understanding of the existing codebase and careful restructuring."
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},
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{
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"taskId": 22,
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"taskTitle": "Create Comprehensive Test Suite for Task Master CLI",
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"complexityScore": 9,
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"recommendedSubtasks": 5,
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"expansionPrompt": "Divide the test suite creation into subtasks covering unit test implementation, integration test development, end-to-end test creation, mocking setup, and CI integration. Each subtask should specify the testing approach, coverage goals, test data preparation, and specific functionality to test.",
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"reasoning": "Developing a comprehensive test suite represents high complexity due to the need to cover unit, integration, and end-to-end tests across all functionality, implement appropriate mocking, and ensure good test coverage. This requires significant test engineering and understanding of the entire system."
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},
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{
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"taskId": 23,
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"taskTitle": "Implement MCP (Model Context Protocol) Server Functionality for Task Master",
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"complexityScore": 9,
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"recommendedSubtasks": 5,
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"expansionPrompt": "Break down the MCP server implementation into subtasks covering core server module creation, endpoint implementation (/context, /models, /execute), context management system, authentication mechanisms, and performance optimization. Each subtask should detail the API design, data structures, and integration with existing Task Master functionality.",
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"reasoning": "Implementing an MCP server represents high complexity due to the need to create a RESTful API with multiple endpoints, manage context data efficiently, handle authentication, and ensure compatibility with the MCP specification. This requires significant API design and server-side development work."
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},
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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": 4,
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"expansionPrompt": "Divide the test generation command implementation into subtasks covering command structure and parameter handling, task analysis logic, AI prompt construction, and test file generation. Each subtask should specify the implementation approach, AI interaction pattern, and output formatting requirements.",
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"reasoning": "Creating an AI-powered test generation command involves analyzing tasks, constructing effective prompts, and generating well-formatted test files. The complexity is moderate to high, focusing on leveraging AI to produce useful tests based on task descriptions and subtasks."
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}
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]
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} |