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 ATTENTION ask user whether to skip.

Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.

AI Mistake Prevention — Failure modes to avoid on every task:

• Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal.
• Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing.
• Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain.
• Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path.
• When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site.
• Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code.
• Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks.
• Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis.
• Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly.
• Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.

Understand Code First — HARD-GATE: Do NOT write, plan, or fix until you READ existing code.

1. Search 3+ similar patterns (grep/glob) — cite file:line evidence
2. Read existing files in target area — understand structure, base classes, conventions
3. Run python .claude/scripts/code_graph trace <file> --direction both --json when .code-graph/graph.db exists
4. Map dependencies via connections or callers_of — know what depends on your target
5. Write investigation to .ai/workspace/analysis/ for non-trivial tasks (3+ files)
6. Re-read analysis file before implementing — never work from memory alone
7. NEVER invent new patterns when existing ones work — match exactly or document deviation

BLOCKED until: - [ ] Read target files - [ ] Grep 3+ patterns - [ ] Graph trace (if graph.db exists) - [ ] Assumptions verified with evidence

• docs/project-reference/domain-entities-reference.md — Domain entity catalog, relationships, cross-service sync (read when task involves business entities/models) (content auto-injected by hook — check for [Injected: ...] header before reading)
• docs/specs/ — Test specifications by module (read existing TCs; generate/update test specs via /tdd-spec after implementation)

Plan Quality — Every plan phase MUST ATTENTION include test specifications.

1. Add ## Test Specifications section with TC-{FEAT}-{NNN} IDs to every phase file
2. Map every functional requirement to ≥1 TC (or explicit TBD with rationale)
3. TC IDs follow TC-{FEATURE}-{NNN} format — reference by ID, never embed full content
4. Before any new workflow step: call TaskList and re-read the phase file
5. On context compaction: call TaskList FIRST — never create duplicate tasks
6. Verify TC satisfaction per phase before marking complete (evidence must be file:line, not TBD)

Mode: TDD-first → reference existing TCs with Evidence: TBD. Implement-first → use TBD → /tdd-spec fills after.

Rationalization Prevention — AI skips steps via these evasions. Recognize and reject:

Evasion	Rebuttal
"Too simple for a plan"	Simple + wrong assumptions = wasted time. Plan anyway.
"I'll test after"	RED before GREEN. Write/verify test first.
"Already searched"	Show grep evidence with file:line. No proof = no search.
"Just do it"	Still need TaskCreate. Skip depth, never skip tracking.
"Just a small fix"	Small fix in wrong location cascades. Verify file:line first.
"Code is self-explanatory"	Future readers need evidence trail. Document anyway.
"Combine steps to save time"	Combined steps dilute focus. Each step has distinct purpose.

Red Flag Stop Conditions — STOP and escalate to user via AskUserQuestion when:

1. Confidence drops below 60% on any critical decision
2. Changes would affect >20 files (blast radius too large)
3. Cross-service boundary is being crossed
4. Security-sensitive code (auth, crypto, PII handling)
5. Breaking change detected (interface, API contract, DB schema)
6. Test coverage would decrease after changes
7. Approach requires technology/pattern not in the project

NEVER proceed past a red flag without explicit user approval.

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

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Next Steps (Standalone: MUST ATTENTION ask user via AskUserQuestion. Skip if inside workflow.)

MANDATORY IMPORTANT MUST ATTENTION — NO EXCEPTIONS: If this skill was called outside a workflow, you MUST ATTENTION use AskUserQuestion to present these options. Do NOT skip because the task seems "simple" or "obvious" — the user decides:

• "Proceed with full workflow (Recommended)" — I'll detect the best workflow to continue from here (feature implemented). This ensures review, testing, and docs steps aren't skipped.
• "/code-simplifier" — Simplify and clean up implementation
• "/workflow-review-changes" — Review changes before commit
• "Skip, continue manually" — user decides

If already inside a workflow, skip — the workflow handles sequencing.

Closing Reminders

• MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
• MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
• MANDATORY IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
• MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
• MANDATORY IMPORTANT MUST ATTENTION validate decisions with user via AskUserQuestion — never auto-decide MANDATORY IMPORTANT MUST ATTENTION READ the following files before starting:
• MANDATORY IMPORTANT MUST ATTENTION search 3+ existing patterns and read code BEFORE any modification. Run graph trace when graph.db exists.
• MANDATORY IMPORTANT MUST ATTENTION include ## Test Specifications with TC IDs per phase. Call TaskList before creating new tasks.
• MANDATORY IMPORTANT MUST ATTENTION follow ALL steps regardless of perceived simplicity. "Too simple to plan" is an evasion, not a reason.
• MANDATORY IMPORTANT MUST ATTENTION STOP after 3 failed fix attempts. Report all attempts, ask user before continuing.
• MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
• MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.

[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.