72ca68edeb
* 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 * chore: Add changeset for scope-up and scope-down features - Comprehensive user-facing description with usage examples - Key features and benefits explanation - CLI and MCP integration details - Real-world use cases for agile workflows * feat(extension): Add scope-up and scope-down to VS Code extension task details - Added useScopeUpTask and useScopeDownTask hooks in useTaskQueries.ts - Enhanced AIActionsSection with Task Complexity Adjustment section - Added strength selection (light/regular/heavy) and custom prompt support - Integrated scope buttons with proper loading states and error handling - Uses existing mcpRequest handler for scope_up_task and scope_down_task tools - Maintains consistent UI patterns with existing AI actions Extension now supports dynamic task complexity adjustment directly from task details view.
21 lines
1.3 KiB
JSON
21 lines
1.3 KiB
JSON
{
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"meta": {
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"generatedAt": "2025-08-02T14:28:59.851Z",
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"tasksAnalyzed": 1,
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"totalTasks": 93,
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"analysisCount": 1,
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"thresholdScore": 5,
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"projectName": "Taskmaster",
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"usedResearch": false
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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": 8,
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"recommendedSubtasks": 6,
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"expansionPrompt": "Expand task 24 'Implement AI-Powered Test Generation Command' into 6 subtasks, focusing on: 1) Command structure implementation, 2) AI prompt engineering for test generation, 3) Test file generation and output, 4) Framework-specific template implementation, 5) MCP tool integration, and 6) Documentation and help system integration. Include detailed implementation steps, dependencies, and testing approaches for each subtask.",
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"reasoning": "This task has high complexity due to several challenging aspects: 1) AI integration requiring sophisticated prompt engineering, 2) Test generation across multiple frameworks, 3) File system operations with proper error handling, 4) MCP tool integration, 5) Complex configuration requirements, and 6) Framework-specific template generation. The task already has 5 subtasks but could benefit from reorganization based on the updated implementation details in the info blocks, particularly around framework support and configuration."
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}
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]
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} |