feat(task-104): Complete task 104 - Implement scope-up and scope-down CLI Commands
- Added new CLI commands 'scope-up' and 'scope-down' with comma-separated ID support - Implemented strength levels (light/regular/heavy) and custom prompt functionality - Created core complexity adjustment logic with AI integration - Added MCP tool equivalents for integrated environments - Comprehensive error handling and task validation - Full test coverage with TDD approach - Updated task manager core and UI components Task 104: Implement 'scope-up' and 'scope-down' CLI Commands for Dynamic Task Complexity Adjustment - Complete implementation with CLI, MCP integration, and testing
This commit is contained in:
Eyal Toledano
committed by
Ralph Khreish
Ralph Khreish
parent
64302dc191
commit
1080162a09
@@ -0,0 +1,153 @@
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---
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title: Research Session
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query: "do we need to add new commands or can we just weaponize the gh cli tool"
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date: 2025-08-01
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time: 2:27:52 p.m.
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timestamp: 2025-08-01T11:27:52.249Z
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exchanges: 3
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---
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# Research Session
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## Initial Query
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**Question:** do we need to add new commands or can we just weaponize the gh cli tool
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**Response:**
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For the implementation of the `task-master git` command suite to automate git workflows (Task 97), it is possible to leverage the existing **GitHub CLI (`gh`) tool** rather than creating entirely new git commands from scratch. The GitHub CLI provides a rich set of commands that cover many GitHub-related operations such as branch management, pull request handling, workflow triggering, and release management, which can be scripted and integrated into your CLI tool[1][2][3][4].
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### Key Points Supporting Weaponizing GitHub CLI:
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- **Comprehensive GitHub Operations**: The `gh` CLI supports creating branches, managing pull requests, releases, tags, and even triggering and monitoring GitHub Actions workflows. This aligns well with the requirements of automated branch management, commit generation, and PR description generation in Task 97[1][3].
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- **Scripting and Automation Friendly**: GitHub CLI commands can be scripted and integrated into custom workflows or CLI tools. You can create aliases or wrap `gh` commands inside your own CLI commands to provide a seamless user experience while relying on the battle-tested GitHub CLI for underlying operations[1][3].
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- **Authentication and Permissions**: `gh` uses environment variables like `GH_TOKEN` or `GITHUB_TOKEN` for authentication, which can be securely managed in CI/CD pipelines or local environments. This simplifies integration without needing to implement custom authentication logic[3][4].
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- **Extensibility**: If some specific git workflow features are not directly supported by `gh`, you can extend it with custom scripts or combine it with native git commands. This hybrid approach reduces the need to reinvent core git operations while allowing customization[1].
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### Considerations for Your Project:
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- Since Task 97 requires **automated branch management** (branch creation, validation, switching, cleanup), **intelligent commit generation**, and **PR description generation**, you can implement these by invoking `gh` commands programmatically within your `task-master git` commands.
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- For example, branch creation and switching can be done with native git commands wrapped in your CLI, while PR creation and management can be handled via `gh pr create`, `gh pr merge`, etc.
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- You may still need to implement some **custom logic** for commit type detection, branch name validation, and PR description generation based on your task metadata, but the underlying git and GitHub operations can be delegated to `gh`.
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- This approach aligns with your existing CLI foundation (Task 2) and leverages a well-supported tool, reducing development effort and increasing reliability.
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### Summary
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You **do not necessarily need to add entirely new git commands** for Task 97. Instead, you can **weaponize the GitHub CLI (`gh`) tool** by wrapping and scripting its commands within your `task-master git` command suite. This will allow you to automate git workflows efficiently, maintain consistency, and leverage GitHub’s API capabilities without reinventing the wheel[1][2][3][4].
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If there are gaps in `gh` functionality for your specific workflow needs, you can supplement with native git commands or custom scripts, but the core git and GitHub operations should be handled by `gh` for best results.
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---
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## Follow-up 1
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**Question:** how does this relate to git worktrees? i hear that they get super complicated when trying to implement them.
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**Response:**
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Git worktrees allow you to have multiple working directories attached to the same Git repository, each checked out to different branches simultaneously. This enables parallel development workflows without the overhead of cloning the repository multiple times or constantly switching branches in a single working directory[2][3].
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However, **implementing or managing git worktrees can get complicated** for several reasons:
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- **Complexity for users and tooling:** Managing multiple active worktrees requires careful tracking of which directory corresponds to which branch. This can be confusing and error-prone, especially for novices or when many worktrees are in use simultaneously. Mistakes like committing to the wrong branch or working in the wrong directory are common risks[1].
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- **Maintenance overhead:** Worktrees accumulate over time and need to be pruned or cleaned up regularly (`git worktree prune`) to avoid clutter and potential confusion. This adds an extra maintenance step to the workflow[1].
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- **Syncing and update challenges:** Each worktree is a separate checkout and can become outdated if not regularly updated from the main repository. This can lead to merge conflicts or redundant work if branches diverge significantly[1].
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- **Tooling and integration limitations:** Not all Git tools, scripts, or GUIs fully support worktrees or are optimized for them. This can cause inconsistencies or require additional custom tooling to manage worktrees effectively[1].
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- **Performance considerations:** Managing multiple worktrees simultaneously can have performance implications, especially in very large repositories, due to the overhead of maintaining multiple checkouts and metadata[1].
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In the context of your project, which involves automating git workflows and possibly wrapping or extending git/GitHub CLI commands, these complexities imply:
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- If you consider supporting git worktrees in your `task-master git` command suite, you will need to handle the complexity of managing multiple directories and branches carefully.
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- You might need to implement additional logic or tooling to track and manage worktrees, avoid user confusion, and ensure synchronization between them.
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- Since your project already plans to leverage the GitHub CLI (`gh`) and native git commands, you could integrate worktree commands (`git worktree add`, `git worktree remove`, `git worktree list`) but should be prepared for the added complexity in workflow management and user documentation.
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- Custom wrappers or managers (like the one described in [3]) can help reduce friction by automating worktree creation, switching, and cleanup, which might be a useful approach to consider.
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Overall, **git worktrees provide powerful parallel branch management but introduce complexity in implementation and user experience** that must be carefully managed through tooling, automation, and clear documentation[1][3][4].
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---
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**Summary Table of Git Worktree Challenges and Considerations**
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| Aspect | Description | Implication for Project |
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|-------------------------|-----------------------------------------------------------------------------------------------|----------------------------------------------------------|
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| User Complexity | Confusing multiple directories and branches | Need clear UI/UX and safeguards |
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| Maintenance Overhead | Requires pruning and cleanup of stale worktrees | Automate cleanup or provide commands |
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| Syncing Issues | Worktrees can become outdated or diverge | Implement update checks and sync workflows |
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| Tooling Support | Limited support in some Git tools and GUIs | May require custom tooling or wrappers |
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| Performance | Overhead in large repos with many worktrees | Monitor and optimize performance |
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| Workflow Automation | Manual worktree management is tedious | Build custom managers or wrappers to simplify usage |
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---
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Given your project’s focus on automating git workflows and leveraging existing CLI tools, **implementing git worktree support is feasible but will require careful design to handle these complexities effectively**. You may want to start with basic worktree commands and incrementally add automation and safeguards as needed.
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---
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## Follow-up 2
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**Question:** since we already have a way to have separated task lists per branch, couldn't we do the same thing for worktrees? each taskmaster list (tag) would have its own worktree based on the name of the tag?
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**Response:**
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Yes, you can apply a similar approach used for separated task lists per branch to git worktrees by associating each taskmaster list (tag) with its own git worktree named after the tag. This means each tag would correspond to a dedicated worktree directory checked out to a branch or commit related to that tag, enabling isolated parallel work environments for each task list.
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### How This Maps to Git Worktrees
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- **Git worktrees** allow multiple working directories linked to the same repository, each checked out to a different branch or commit[1][2]. This lets you work on multiple branches simultaneously without switching contexts in a single directory.
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- When you create a worktree with `git worktree add <path> [<branch>]`, Git creates a new linked working tree at `<path>`, optionally checking out a specified branch or creating a new one[1][2]. Naming the worktree directory after the tag (taskmaster list) is straightforward and semantically clear.
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- This setup mirrors your existing branch-based task list separation but extends it to physical directories, which can improve workflow isolation and reduce context switching.
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### Benefits for Your Project
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- **Isolated environments per task list/tag:** Each tag’s worktree can have its own checked-out branch, allowing independent development, testing, or review without interference.
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- **Parallel workflows:** Developers can switch between worktrees (directories) instead of switching branches in one directory, reducing errors and improving productivity.
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- **Automation potential:** Your `task-master git` commands can automate creating, switching, and cleaning up these worktrees based on tags, similar to how you manage branches and task lists.
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### Challenges and Considerations
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- **Complexity in management:** Git worktrees add complexity in tracking multiple directories and ensuring users operate in the correct one[1]. Your CLI should provide clear commands and feedback to avoid confusion.
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- **Maintenance overhead:** Worktrees need pruning and cleanup (`git worktree prune` or `git worktree remove`) to avoid clutter[1]. Automating cleanup in your tool would be beneficial.
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- **Syncing and updates:** Each worktree is a separate checkout and can become outdated. Your automation should include commands to update or rebase worktrees as needed.
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- **Tooling support:** Not all Git tools or scripts fully support worktrees, so your CLI wrappers should handle edge cases and provide a consistent experience[1][3].
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### Practical Implementation Ideas
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- When a new tag (taskmaster list) is created, run `git worktree add` to create a new worktree directory named after the tag.
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- Store metadata linking tags to worktree paths in your taskmaster configuration to track and manage them.
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- Provide commands like `task-master worktree list`, `task-master worktree add <tag>`, and `task-master worktree remove <tag>` to manage these worktrees.
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- Integrate with GitHub CLI (`gh`) and native git commands to automate branch creation, PR handling, and syncing within each worktree.
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- Consider inspiration from existing tools like [wt](https://github.com/taecontrol/wt) that automate worktree environment setup and teardown[3].
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### Summary
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Using git worktrees per taskmaster tag is a feasible and potentially powerful extension of your current branch-based task list separation. It offers isolated, parallel working directories aligned with your tags, improving workflow clarity and reducing branch-switching overhead. However, it requires careful tooling and automation to manage complexity, maintenance, and synchronization effectively. Given your project’s focus on automating git workflows and leveraging CLI tools, implementing this feature incrementally with robust user feedback and cleanup commands would be a practical approach.
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---
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*Generated by Task Master Research Command*
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*Timestamp: 2025-08-01T11:27:52.249Z*
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@@ -1,373 +1,21 @@
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||||
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|
||||
"taskId": 24,
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|
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|
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|
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||||
{
|
||||
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||||
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||||
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||||
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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.",
|
||||
"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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|
||||
{
|
||||
"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."
|
||||
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||||
{
|
||||
"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."
|
||||
},
|
||||
{
|
||||
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|
||||
"taskTitle": "Implement Task Automation with Webhooks and Event Triggers",
|
||||
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|
||||
"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,
|
||||
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|
||||
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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."
|
||||
},
|
||||
{
|
||||
"taskId": 46,
|
||||
"taskTitle": "Implement ICE Analysis Command for Task Prioritization",
|
||||
"complexityScore": 7,
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||||
"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,
|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"taskId": 49,
|
||||
"taskTitle": "Implement Code Quality Analysis Command",
|
||||
"taskId": 104,
|
||||
"taskTitle": "Implement 'scope-up' and 'scope-down' CLI Commands for Dynamic Task Complexity Adjustment",
|
||||
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|
||||
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|
||||
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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."
|
||||
},
|
||||
{
|
||||
"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,
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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.",
|
||||
"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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||||
},
|
||||
{
|
||||
"taskId": 57,
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||||
"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."
|
||||
"expansionPrompt": "Break down the implementation of the 'scope-up' and 'scope-down' CLI commands into detailed subtasks, focusing on: 1) Command structure and argument parsing, 2) Task/subtask retrieval and context gathering, 3) AI prompt construction for different strength levels, 4) Response processing and task updating, 5) Error handling and user feedback, and 6) Integration with existing systems including MCP tool. For each subtask, include specific implementation details, dependencies, and test strategies.",
|
||||
"reasoning": "This task has high complexity (8/10) due to several factors: 1) It requires integration with multiple existing systems (CLI, AI services, task management), 2) It involves sophisticated AI prompt engineering with context awareness, 3) It needs to handle various parameters and edge cases, 4) It must maintain data integrity across task modifications, and 5) It requires both CLI and MCP tool implementations. The task already has 5 subtasks that cover the main components, but could benefit from one additional subtask focused on testing and documentation."
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -1,9 +1,9 @@
|
||||
{
|
||||
"currentTag": "master",
|
||||
"lastSwitched": "2025-07-22T13:32:03.558Z",
|
||||
"branchTagMapping": {
|
||||
"v017-adds": "v017-adds",
|
||||
"next": "next"
|
||||
},
|
||||
"migrationNoticeShown": true
|
||||
}
|
||||
"currentTag": "master",
|
||||
"lastSwitched": "2025-08-01T14:09:25.838Z",
|
||||
"branchTagMapping": {
|
||||
"v017-adds": "v017-adds",
|
||||
"next": "next"
|
||||
},
|
||||
"migrationNoticeShown": true
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user