Cook Auto 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 — autonomous parallel execution with fullstack-developer subagents.

Quick Summary

Goal: Plan parallel-executable phases and dispatch to fullstack-developer subagents for concurrent implementation.

Workflow:

1. Plan — Create plan with parallel-executable phases (strict file ownership)
2. Dispatch — Launch fullstack-developer subagents per phase
3. Merge — Integrate results and verify

Key Rules:

• Each subagent owns specific files; no cross-boundary edits
• Autonomous mode: no user confirmation between phases
• Break work into todo tasks; add final self-review task

Ultrathink parallel to implement: $ARGUMENTS

IMPORTANT: Activate needed skills. Ensure token efficiency. Sacrifice grammar for concision.

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

Workflow

1. Research (Optional)

• Use max 2 researcher agents in parallel if tasks complex
• Use /scout-ext to search codebase
• Keep reports ≤150 lines
• External Memory: Write research to .ai/workspace/analysis/{task-name}.analysis.md. Re-read before parallel execution.

2. Parallel Planning

• Trigger /plan-parallel <detailed-instruction>
• Wait for plan with dependency graph, execution strategy, file ownership matrix

3. Parallel Implementation

• Read plan.md for dependency graph
• Launch multiple fullstack-developer agents in PARALLEL for concurrent phases
  • Example: "Phases 1-3 parallel" → launch 3 agents simultaneously
  • Pass phase file path: {plan-dir}/phase-XX-*.md
  • Include environment info
• Wait for all parallel phases complete before dependent phases
• Sequential phases: launch one agent at a time

4. Testing

• Use tester subagent for full test suite
• NO fake data/mocks/cheats
• If fail: use debugger, fix, repeat

5. Code Review

• Use code-reviewer for all changes
• If critical issues: fix, retest

6. Project Management & Docs

• If approved: use project-manager + docs-manager in parallel
• Update plan files, docs, roadmap
• If rejected: fix and repeat

7. Final Report

• Summary of all parallel phases
• Guide to get started
• Ask to commit (use git-manager if yes)

Example: Phases 1-3 parallel → Launch 3 fullstack-developer agents → Wait → Phase 4 sequential

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