aggregate-logs
CommandGenerate LEARNINGS.md from skill execution logs over a configurable time window.
Execute implementation plan systematically with progress tracking and checkpoint validation
> /plugin marketplace add athola/claude-night-market
name: execute description: "Execute implementation plan systematically with progress tracking and checkpoint validation"
Execute implementation plans systematically with task tracking, checkpoint validation, and continuous progress reporting.
Use this command when you need to:
Avoid this command if:
# Start execution from plan /attune:execute # Execute specific task /attune:execute --task T003 # Resume from checkpoint /attune:execute --resume # Execute specific phase /attune:execute --phase "Phase 1"
1. **Loads implementation plan** from planning phase 2. **Invokes execution agent** with superpowers integration 3. **Executes tasks** in dependency order with checkpoints 4. **Tracks progress** and updates task status 5. **Validates completion** against acceptance criteria 6. **Reports progress** with metrics and blockers
When superpowers plugin is available:
Without superpowers:
# 1. Load implementation plan # Read docs/implementation-plan.md # 2. Invoke execution agent Agent(attune:project-implementer) # 3. Execute tasks in dependency order: # For each task: # - Check dependencies complete # - Execute implementation # - Run tests # - Validate acceptance criteria # - Update progress tracker # 4. Report progress # - Tasks completed/total # - Blockers and risks # - Next actions # 5. Save execution state # - .attune/execution-state.json
**Actions**:
**Output**: Execution plan with ordered task list
**For each task in order**:
1. **Pre-execution**: - Verify dependencies complete - Review acceptance criteria - Create feature branch (if needed) 2. **Implementation**: - Write code following spec - Run tests continuously (TDD) - Document as you go 3. **Validation**: - All acceptance criteria met? - Tests passing? - Code review ready? 4. **Checkpoint**: - Mark task complete - Update progress tracker - Identify blockers
**Metrics Tracked**:
**Reports Generated**:
/attune:blueprint /attune:project-init --lang python /attune:execute
**Session Output**:
🚀 Executing Implementation Plan
Plan: docs/implementation-plan.md
Total tasks: 40
Current sprint: Sprint 1 (Foundation)
─────────────────────────────────────
Phase 1: Foundation (10 tasks)
─────────────────────────────────────
[✓] T001: Initialize Project Structure
├─ Created project with /attune:project-init
├─ All tests passing
└─ Duration: 45 minutes
[▶] T002: Database Schema Design
├─ Creating migration: migrations/001_initial.sql
├─ Running: alembic revision --autogenerate
└─ Progress: 60%
Checkpoint: 1/10 tasks complete (10%)
Next: Complete T002, start T003
Blockers: None/attune:execute --task T005
**Detailed Task Execution**:
📋 Executing T005: Implement OAuth Flow Dependencies: T004 (Complete ✓) Acceptance Criteria: - [ ] GitHub OAuth app configured - [ ] Login redirect to GitHub - [ ] Callback handles tokens - [ ] User session created - [ ] Tests cover happy + error paths Step 1/5: Configure GitHub OAuth App → Creating OAuth app in GitHub Settings... → Setting callback URL: http://localhost:8000/auth/callback → Storing client_id and client_secret in .env ✓ Complete Step 2/5: Implement login endpoint → Creating backend/app/auth/oauth.py... → Writing tests/auth/test_oauth.py... [Code implementation details...] ✓ Complete (tests passing) Step 3/5: Implement callback handler [... implementation ...] Progress: 3/5 steps (60%) Estimated completion: 30 minutes
/attune:execute --resume
Loads state from `.attune/execution-state.json`:
🔄 Resuming Execution Last checkpoint: 2026-01-02 14:30:22 Completed: 15/40 tasks (37.5%) Last task: T015 (Complete) Next task: T016 Resuming with T016...
/attune:execute --phase "Phase 2"
Executes only Phase 2 tasks (T011 through T030).
When running in Claude Code 2.1.16+, execution uses th
A plugin marketplace for Claude Code. Install only the plugins you need to run git workflows, code review, spec-driven development, and autonomous agents from inside your Claude Code session.
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