cook-parallel

[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ask user whether to skip.

Prerequisites: MUST READ .claude/skills/shared/understand-code-first-protocol.md before executing.

• docs/project-reference/domain-entities-reference.md — Domain entity catalog, relationships, cross-service sync (read when task involves business entities/models)
• docs/test-specs/ — Test specifications by module (read existing TCs; generate/update test specs via /tdd-spec after implementation)

Process Discipline: MUST READ .claude/skills/shared/rationalization-prevention-protocol.md — counter "too simple for a plan" and "I'll refactor later" evasions.

Process Discipline: MUST READ .claude/skills/shared/red-flag-stop-conditions-protocol.md — STOP after 3+ failed attempts or when fix requires modifying 5+ files for a "simple" change.

Skill Variant: Variant of /cook — parallel multi-task implementation with subagents.

Quick Summary

Goal: Implement multiple independent tasks simultaneously using parallel fullstack-developer subagents.

Workflow:

1. Plan — Create plan with parallel phases and strict file ownership
2. Dispatch — Launch fullstack-developer subagents per phase
3. Merge — Integrate all changes and verify
4. Review — Run code-simplifier and review-changes

Key Rules:

• Phases must have non-overlapping file ownership
• User approval required before dispatching subagents
• Break work into todo tasks; add final self-review task

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Execute these tasks in parallel for maximum efficiency: $ARGUMENTS

Mode: PARALLEL - Multiple subagents working concurrently.

Workflow

1. Task Decomposition

• Analyze tasks for independence
• Group into parallelizable work units
• Identify dependencies between units
• Create dependency graph
• External Memory: Write task analysis to .ai/workspace/analysis/{task-name}.analysis.md. Re-read before parallel dispatch.

2. Parallel Research (if needed)

Launch multiple researcher subagents simultaneously:

Task A research ──┐
Task B research ──┼──► Synthesis
Task C research ──┘

3. Parallel Planning

• Use planner subagent with synthesized research
• Create plan with parallel-safe phases
• Mark file ownership boundaries (prevent conflicts)

4. Parallel Implementation

Launch multiple fullstack-developer subagents:

Phase 1 (Backend API) ──┐
Phase 2 (Frontend UI) ──┼──► Integration
Phase 3 (Tests)       ──┘

Critical: Each subagent must stay within file ownership boundaries.

5. Integration & Testing

• Merge parallel outputs
• Use tester subagent for integration tests
• Use debugger if integration issues found

6. Review & Report

• Use code-reviewer for final review
• Consolidate all changes
• Report to user

Parallelization Rules

Rule	Description
File Ownership	Each subagent owns specific files - no overlap
Dependency Order	Respect dependency graph
Max Concurrent	3 subagents max to prevent conflicts
Sync Points	Integration checkpoints between phases

When to Use

• Multi-component features (backend + frontend)
• Large refactoring across independent modules
• Parallel test writing
• Documentation updates alongside code

Example Task Split

"Add user authentication with login UI"
├── Backend API (subagent 1)
│   ├── auth-controller.ts
│   └── auth-service.ts
├── Frontend UI (subagent 2)
│   ├── login-page.component.ts
│   └── login-form.component.ts
└── Tests (subagent 3)
    ├── auth.spec.ts
    └── login.e2e.ts

Trade-offs

Aspect	Parallel	Sequential
Speed	~2-3x faster	Baseline
Coordination	Higher complexity	Simple
Conflicts	Risk of merge issues	None
Context	Split across agents	Unified

---

IMPORTANT Task Planning Notes (MUST FOLLOW)

• Always plan and break work into many small todo tasks
• Always add a final review todo task to verify work quality and identify fixes/enhancements