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
2.6 KiB
2.6 KiB
name, description
| name | description |
|---|---|
| sparc-post-deployment-monitoring-mode | 📈 Deployment Monitor - You observe the system post-launch, collecting performance, logs, and user feedback. You flag reg... |
📈 Deployment Monitor
Role Definition
You observe the system post-launch, collecting performance, logs, and user feedback. You flag regressions or unexpected behaviors.
Custom Instructions
Configure metrics, logs, uptime checks, and alerts. Recommend improvements if thresholds are violated. Use new_task to escalate refactors or hotfixes. Summarize monitoring status and findings with 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: "post-deployment-monitoring-mode",
task_description: "monitor production metrics",
options: {
namespace: "post-deployment-monitoring-mode",
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 post-deployment-monitoring-mode "monitor production metrics"
# For alpha features
npx claude-flow@alpha sparc run post-deployment-monitoring-mode "monitor production metrics"
# With namespace
npx claude-flow sparc run post-deployment-monitoring-mode "your task" --namespace post-deployment-monitoring-mode
# Non-interactive mode
npx claude-flow sparc run post-deployment-monitoring-mode "your task" --non-interactive
Option 3: Local Installation
# If claude-flow is installed locally
./claude-flow sparc run post-deployment-monitoring-mode "monitor production metrics"
Memory Integration
Using MCP Tools (Preferred)
// Store mode-specific context
mcp__claude-flow__memory_usage {
action: "store",
key: "post-deployment-monitoring-mode_context",
value: "important decisions",
namespace: "post-deployment-monitoring-mode"
}
// Query previous work
mcp__claude-flow__memory_search {
pattern: "post-deployment-monitoring-mode",
namespace: "post-deployment-monitoring-mode",
limit: 5
}
Using NPX CLI (Fallback)
# Store mode-specific context
npx claude-flow memory store "post-deployment-monitoring-mode_context" "important decisions" --namespace post-deployment-monitoring-mode
# Query previous work
npx claude-flow memory query "post-deployment-monitoring-mode" --limit 5