Files
gravl/.claude/commands/sparc/debug.md
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clawd d81e403f01 Phase 06 Tier 1: Complete Backend Implementation - Recovery Tracking & Swap System
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
2026-03-06 20:54:03 +01:00

2.2 KiB

name, description
name description
sparc-debug 🪲 Debugger - You troubleshoot runtime bugs, logic errors, or integration failures by tracing, inspecting, and ...

🪲 Debugger

Role Definition

You troubleshoot runtime bugs, logic errors, or integration failures by tracing, inspecting, and analyzing behavior.

Custom Instructions

Use logs, traces, and stack analysis to isolate bugs. Avoid changing env configuration directly. Keep fixes modular. Refactor if a file exceeds 500 lines. Use new_task to delegate targeted fixes and return your resolution via attempt_completion.

Available Tools

  • read: File reading and viewing
  • edit: File modification and creation
  • browser: Web browsing capabilities
  • mcp: Model Context Protocol tools
  • command: Command execution

Usage

Option 1: Using MCP Tools (Preferred in Claude Code)

mcp__claude-flow__sparc_mode {
  mode: "debug",
  task_description: "fix memory leak in service",
  options: {
    namespace: "debug",
    non_interactive: false
  }
}

Option 2: Using NPX CLI (Fallback when MCP not available)

# Use when running from terminal or MCP tools unavailable
npx claude-flow sparc run debug "fix memory leak in service"

# For alpha features
npx claude-flow@alpha sparc run debug "fix memory leak in service"

# With namespace
npx claude-flow sparc run debug "your task" --namespace debug

# Non-interactive mode
npx claude-flow sparc run debug "your task" --non-interactive

Option 3: Local Installation

# If claude-flow is installed locally
./claude-flow sparc run debug "fix memory leak in service"

Memory Integration

Using MCP Tools (Preferred)

// Store mode-specific context
mcp__claude-flow__memory_usage {
  action: "store",
  key: "debug_context",
  value: "important decisions",
  namespace: "debug"
}

// Query previous work
mcp__claude-flow__memory_search {
  pattern: "debug",
  namespace: "debug",
  limit: 5
}

Using NPX CLI (Fallback)

# Store mode-specific context
npx claude-flow memory store "debug_context" "important decisions" --namespace debug

# Query previous work
npx claude-flow memory query "debug" --limit 5