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2025-11-30 08:40:21 +08:00

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Sprint All Command

You are orchestrating multi-sprint execution using the agent-based approach.

Command Usage

/multi-agent:sprint all                    # Execute all sprints, create PRs (default)
/multi-agent:sprint all --manual-merge     # Execute all sprints, skip PR creation
/multi-agent:sprint all 01                 # Execute track 1, create PRs
/multi-agent:sprint all 01 --manual-merge  # Execute track 1, skip PRs
/multi-agent:sprint all 02                 # Execute track 2, create PRs
/multi-agent:sprint all 03                 # Execute track 3, create PRs

Executes all sprints sequentially until completion. Supports track filtering for parallel development workflows.

Flags:

  • --manual-merge: Skip automatic PR creation after each sprint, allow manual merge/PR creation

Your Process

Step 0: Parse Parameters

Extract track number from command (if specified):

  • If no parameter: execute all tracks sequentially
  • If parameter (e.g., "01", "02"): execute only that track

Extract flags:

  • Check for --manual-merge flag
  • If present: manual_merge = true (skip PR creation after each sprint)
  • If absent: manual_merge = false (create PR after each sprint)

Step 1: Load State File

Determine state file location:

  • Check docs/planning/.project-state.yaml
  • Check docs/planning/.feature-*-state.yaml
  • Check docs/planning/.issue-*-state.yaml

If state file doesn't exist:

  • Create initial state file with all sprints marked "pending"
  • Initialize track configuration from sprint files

If state file exists:

  • Load current progress
  • Identify completed vs pending sprints
  • Determine resume point
  • NEW: Check if worktree mode is enabled (parallel_tracks.mode = "worktrees")

Step 1.5: Determine Working Directory (NEW)

If worktree mode is enabled AND track is specified:

  1. Get worktree path from state file:

    worktree_path = state.parallel_tracks.track_info[track_number].worktree_path
    # Example: ".multi-agent/track-01"
    
  2. Verify worktree exists:

    if [ -d "$worktree_path" ]; then
        echo "Working in worktree: $worktree_path"
        cd "$worktree_path"
    else
        echo "ERROR: Worktree not found at $worktree_path"
        echo "Run /multi-agent:planning again with --use-worktrees"
        exit 1
    fi
    
  3. Verify we're on the correct branch:

    expected_branch = state.parallel_tracks.track_info[track_number].branch
    current_branch = git rev-parse --abbrev-ref HEAD
    if current_branch != expected_branch:
        echo "WARNING: Worktree is on branch $current_branch, expected $expected_branch"
    
  4. All subsequent file operations (reading sprints, tasks, creating files) happen in this worktree directory

If state-only mode OR no track specified:

  • Work in current directory (main repo)
  • No directory switching needed

Step 2: Project State Analysis

Check Sprint Files:

# In worktree directory if applicable, otherwise main directory
ls docs/sprints/

Filter by track (if specified):

  • If track specified: filter to only sprints matching that track
  • Example: track=01 → only SPRINT-*-01.yaml files

Determine Sprint Status from State File:

  • For each sprint in scope:
    • Check state.sprints[sprintId].status
    • "completed" → skip
    • "in_progress" → resume from last completed task
    • "pending" → execute normally
  • Count total sprints to execute vs already completed

Check PRD Exists:

  • Verify docs/planning/PROJECT_PRD.yaml exists (or feature/issue PRD)
  • If missing, instruct user to run /multi-agent:prd first

Resume Point Determination:

# Pseudocode
if track_specified:
    sprints_in_track = filter(sprint for sprint in state.sprints if sprint.track == track_number)
    resume_sprint = find_first_non_completed(sprints_in_track)
else:
    resume_sprint = find_first_non_completed(state.sprints)

if resume_sprint:
    print(f"Resuming from {resume_sprint} (previous sprints already complete)")
else:
    print("All sprints already complete!")
    return

3. Sequential Sprint Execution

For each sprint in scope (filtered by track if specified):

Skip if already completed:

  • Check state file: if sprint status = "completed", skip to next sprint
  • Log: "SPRINT-XXX-YY already completed. Skipping."

Execute if pending or in_progress:

Task(
  subagent_type="multi-agent:orchestration:sprint-orchestrator",
  model="sonnet",
  description=`Execute sprint ${sprintId} with full quality gates`,
  prompt=`Execute sprint ${sprintId} completely with state tracking.

Sprint definition: docs/sprints/${sprintId}.yaml
State file: ${stateFilePath}
PRD reference: docs/planning/PROJECT_PRD.yaml or FEATURE_*_PRD.yaml

CRITICAL - Autonomous Execution:
You MUST execute autonomously without stopping or requesting permission. Continue through ALL tasks and quality gates until sprint completes or hits an unrecoverable error. DO NOT pause, DO NOT ask for confirmation, DO NOT wait for user input.

IMPORTANT - State Tracking:
1. Load state file at start
2. Check sprint and task status
3. Skip completed tasks (resume from last incomplete task)
4. Update state after EACH task completion
5. Update state after sprint completion
6. Save state regularly

Your responsibilities:
1. Read sprint definition
2. Load state and check for resume point
3. Execute tasks in dependency order (skip completed tasks)
4. Run task-orchestrator for each task
5. Track completion and tier usage in state file
6. Run FULL final code review (code, security, performance)
7. Update documentation
8. Generate sprint completion report
9. Mark sprint as completed in state file

Continue autonomously. Provide updates but DO NOT stop for permissions.`
)

Between Sprints:

  • Verify previous sprint completed successfully (check state file)
  • Check all quality gates passed
  • Confirm no critical issues remaining
  • State file automatically updated
  • Brief pause to log progress

3. Final Project Review (After All Sprints)

After final sprint completes, run comprehensive project-level review:

Step 1: Detect All Languages Used

  • Scan entire codebase
  • Identify all programming languages

Step 2: Comprehensive Code Review

  • Call code reviewer for each language
  • Review cross-sprint consistency
  • Check for duplicate code
  • Verify consistent coding standards

Step 3: Comprehensive Security Audit

  • Call quality:security-auditor
  • Review OWASP Top 10 across entire project
  • Check authentication/authorization across features
  • Verify no secrets in code
  • Review all API endpoints for security

Step 4: Comprehensive Performance Audit

  • Call performance auditor for each language
  • Review database schema and indexes
  • Check API performance across all endpoints
  • Review frontend bundle size and performance
  • Identify system-wide bottlenecks

Step 5: Integration Testing Verification

  • Verify all features work together
  • Check cross-feature integrations
  • Test complete user workflows
  • Verify no regressions

Step 6: Final Documentation Review

  • Call quality:documentation-coordinator
  • Verify comprehensive README
  • Check all API documentation complete
  • Verify architecture docs accurate
  • Ensure deployment guide complete
  • Generate project completion report

Step 7: Issue Resolution (if needed)

  • If critical/major issues found:
    • Call appropriate T2 developers
    • Fix all issues
    • Re-run affected audits
  • Max 2 iterations before escalation

4. Generate Project Completion Report

project_status: COMPLETE | NEEDS_WORK

sprints_completed: 5/5

overall_statistics:
  total_tasks: 47
  tasks_completed: 47
  t1_tasks: 35 (74%)
  t2_tasks: 12 (26%)
  total_iterations: 89

quality_metrics:
  code_reviews: PASS
  security_audit: PASS
  performance_audit: PASS
  documentation: COMPLETE

issues_summary:
  critical_fixed: 3
  major_fixed: 8
  minor_documented: 12

languages_used:
  - Python (FastAPI backend)
  - TypeScript (React frontend)
  - PostgreSQL (database)

features_delivered:
  - User authentication
  - Task management
  - Real-time notifications
  - Analytics dashboard
  - API integrations

documentation_updated:
  - README.md (comprehensive)
  - API documentation (OpenAPI)
  - Architecture diagrams
  - Deployment guide
  - User guide

estimated_cost: $45.30
estimated_time_saved: 800 hours vs manual development

recommendations:
  - Consider adding rate limiting for API
  - Monitor database query performance under load
  - Schedule security audit for production deployment

next_steps:
  - Review completion report
  - Run integration tests
  - Deploy to staging environment
  - Schedule production deployment

5. User Communication

During Execution (State-Only Mode):

Starting multi-sprint execution...

Found 5 sprints in docs/sprints/
Mode: State-only (logical separation)
Starting from SPRINT-001

═══════════════════════════════════════
Sprint 1/5: SPRINT-001 (Foundation)
═══════════════════════════════════════
Launching sprint-orchestrator...
[sprint-orchestrator executes with updates]
✅ SPRINT-001 complete (8 tasks, 45 min)

═══════════════════════════════════════
Sprint 2/5: SPRINT-002 (Core Features)
═══════════════════════════════════════
Launching sprint-orchestrator...
...

═══════════════════════════════════════
All Sprints Complete! Running final review...
═══════════════════════════════════════

Running comprehensive code review...
Running security audit...
Running performance audit...
Updating final documentation...

✅ PROJECT COMPLETE!

During Execution (Worktree Mode):

Starting multi-sprint execution for Track 01...

Mode: Git worktrees (physical isolation)
Working directory: .multi-agent/track-01/
Branch: dev-track-01
Found 2 sprints for track 01
Starting from SPRINT-001-01

═══════════════════════════════════════
Track 1: Backend (Worktree Mode)
═══════════════════════════════════════
Location: .multi-agent/track-01/
Branch: dev-track-01
Status: 0/2 sprints complete

═══════════════════════════════════════
Sprint 1/2: SPRINT-001-01 (Foundation)
═══════════════════════════════════════
Launching sprint-orchestrator...
[sprint-orchestrator executes in worktree]
Committing to branch: dev-track-01
✅ SPRINT-001-01 complete (5 tasks, 32 min)

═══════════════════════════════════════
Sprint 2/2: SPRINT-002-01 (Advanced Features)
═══════════════════════════════════════
Launching sprint-orchestrator...
[sprint-orchestrator executes in worktree]
Committing to branch: dev-track-01
✅ SPRINT-002-01 complete (2 tasks, 18 min)

═══════════════════════════════════════
Track 1 Complete!
═══════════════════════════════════════

All sprints in track 01 completed ✅
Commits pushed to branch: dev-track-01

Next steps:
- Wait for other tracks to complete (if running in parallel)
- When all tracks done, run: /multi-agent:merge-tracks

On Completion:

╔═══════════════════════════════════════════╗
║  🎉 PROJECT COMPLETION SUCCESSFUL  🎉    ║
╚═══════════════════════════════════════════╝

Sprints Completed: 5/5
Tasks Delivered: 47/47
Quality: All checks passed ✅
Documentation: Complete ✅

Cost Estimate: $45.30
Time Saved: ~800 hours

See full report: docs/project-completion-report.md

Ready for deployment! 🚀

Error Handling

Sprint fails:

❌ SPRINT-003 failed after 3 fix attempts

Issue: Critical security vulnerability in authentication
Location: backend/auth/jwt_handler.py

Pausing multi-sprint execution.
Human intervention required.

To resume after fix: /multi-agent:sprint all
(Will skip completed sprints automatically)

No sprints found:

Error: No sprint files found in docs/sprints/

Have you run /multi-agent:planning to create sprints?

Workflow:
1. /multi-agent:prd          - Create PRD
2. /multi-agent:planning     - Break into tasks and sprints
3. /multi-agent:sprint all   - Execute all sprints

Worktree not found:

Error: Worktree not found at .multi-agent/track-01/

This project was planned with git worktrees, but the worktree is missing.

To recreate worktrees, run:
/multi-agent:planning <tracks> --use-worktrees

Or if you want to switch to state-only mode, update the state file manually.

Important Notes

  • Each sprint MUST complete successfully before next sprint starts
  • Final project review is MANDATORY after all sprints
  • Documentation is updated continuously (per sprint) and finally (project-level)
  • All quality gates must pass before marking project complete
  • Execution can be paused/resumed (picks up from last completed sprint)
  • Detailed logs generated for each sprint and overall project
  • Cost tracking across all sprints for transparency

Comparison to Single Sprint

/multi-agent:sprint SPRINT-001:

  • Executes one sprint
  • Final review for that sprint
  • Documentation updated for that sprint

/multi-agent:sprint all:

  • Executes ALL sprints sequentially
  • Final review for each sprint
  • Additional project-level review at the end
  • Comprehensive documentation at project completion
  • Full integration testing verification