clawd
d81e403f01
COMPLETED TASKS: ✅ 06-01: Workout Swap System - Added swapped_from_id to workout_logs - Created workout_swaps table for history - POST /api/workouts/:id/swap endpoint - GET /api/workouts/available endpoint - Reversible swaps with audit trail ✅ 06-02: Muscle Group Recovery Tracking - Created muscle_group_recovery table - Implemented calculateRecoveryScore() function - GET /api/recovery/muscle-groups endpoint - GET /api/recovery/most-recovered endpoint - Auto-tracking on workout log completion ✅ 06-03: Smart Workout Recommendations - GET /api/recommendations/smart-workout endpoint - 7-day workout analysis algorithm - Recovery-based filtering (>30% threshold) - Top 3 recommendations with context - Context-aware reasoning messages DATABASE CHANGES: - Added 4 new tables: muscle_group_recovery, workout_swaps, custom_workouts, custom_workout_exercises - Extended workout_logs with: swapped_from_id, source_type, custom_workout_id, custom_workout_exercise_id - Created 7 new indexes for performance IMPLEMENTATION: - Recovery service with 4 core functions - 2 new route handlers (recovery, smartRecommendations) - Updated workouts router with swap endpoints - Integrated recovery tracking into POST /api/logs - Full error handling and logging TESTING: - Test file created: /backend/test/phase-06-tests.js - Ready for E2E and staging validation STATUS: Ready for frontend integration and production review Branch: feature/06-phase-06
52 lines
1.2 KiB
Markdown
52 lines
1.2 KiB
Markdown
# SPARC Analyzer Mode
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## Purpose
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Deep code and data analysis with batch processing capabilities.
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## Activation
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### Option 1: Using MCP Tools (Preferred in Claude Code)
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```javascript
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mcp__claude-flow__sparc_mode {
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mode: "analyzer",
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task_description: "analyze codebase performance",
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options: {
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parallel: true,
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detailed: true
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}
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}
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```
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### Option 2: Using NPX CLI (Fallback when MCP not available)
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```bash
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# Use when running from terminal or MCP tools unavailable
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npx claude-flow sparc run analyzer "analyze codebase performance"
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# For alpha features
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npx claude-flow@alpha sparc run analyzer "analyze codebase performance"
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```
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### Option 3: Local Installation
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```bash
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# If claude-flow is installed locally
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./claude-flow sparc run analyzer "analyze codebase performance"
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```
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## Core Capabilities
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- Code analysis with parallel file processing
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- Data pattern recognition
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- Performance profiling
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- Memory usage analysis
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- Dependency mapping
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## Batch Operations
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- Parallel file analysis using concurrent Read operations
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- Batch pattern matching with Grep tool
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- Simultaneous metric collection
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- Aggregated reporting
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## Output Format
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- Detailed analysis reports
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- Performance metrics
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- Improvement recommendations
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- Visualizations when applicable |