cook-hard

[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.

Understand Code First — Search codebase for 3+ similar implementations BEFORE writing any code. Read existing files, validate assumptions with grep evidence, map dependencies via graph trace. Never invent new patterns when existing ones work. MUST READ .claude/skills/shared/understand-code-first-protocol.md for full protocol and checklists.

• 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/test-specs/ — Test specifications by module (read existing TCs; generate/update test specs via /tdd-spec after implementation)

Plan Quality — Every plan phase MUST include ## Test Specifications section with TC-{FEAT}-{NNN} format. Verify TC satisfaction per phase before marking complete. Plans must include story_points and effort in frontmatter. MUST READ .claude/skills/shared/plan-quality-protocol.md for full protocol and checklists.

Skill Variant: Variant of /cook — thorough implementation with maximum verification.

Quick Summary

Goal: Implement features with deep research, comprehensive planning, and maximum quality verification.

Workflow:

1. Research — Deep investigation with multiple researcher subagents
2. Plan — Detailed plan with /plan-hard, user approval required
3. Implement — Execute with full code review and SRE review
4. Verify — Run all tests, review changes, update docs

Key Rules:

• Maximum thoroughness: research → plan → implement → review → test → docs
• User approval required at plan stage
• Break work into todo tasks; add final self-review task

Frontend/UI Context (if applicable)

When this task involves frontend or UI changes,

UI System Context — For frontend/UI/styling tasks, MUST READ these BEFORE implementing: frontend-patterns-reference.md (component base classes, stores, forms), scss-styling-guide.md (BEM methodology, SCSS vars, responsive), design-system/README.md (design tokens, component inventory, icons). MUST READ .claude/skills/shared/ui-system-context.md for full protocol and checklists.

• Component patterns: docs/project-reference/frontend-patterns-reference.md
• Styling/BEM guide: docs/project-reference/scss-styling-guide.md
• Design system tokens: docs/project-reference/design-system/README.md

Ultrathink to plan and implement these tasks with maximum verification:

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

$ARGUMENTS

Mode: HARD - Extra research, detailed planning, mandatory reviews.

Workflow

1. Deep Research Phase

• Launch 2-3 researcher subagents in parallel covering:
  • Technical approach validation
  • Edge cases and failure modes
  • Security implications
  • Performance considerations
• Use /scout-ext for comprehensive codebase analysis
• Generate research reports (max 150 lines each)
• External Memory: Write all research to .ai/workspace/analysis/{task-name}.analysis.md. Re-read ENTIRE file before planning.

Graph-Assisted Investigation — When .code-graph/graph.db exists, MUST run at least ONE graph command on key files before concluding. Pattern: Grep finds files → trace --direction both reveals full system flow → Grep verifies details. Use connections for 1-hop, callers_of/tests_for for specific queries, batch-query for multiple files. MUST READ .claude/skills/shared/graph-assisted-investigation-protocol.md for full protocol and checklists. After implementing, run python .claude/scripts/code_graph connections <file> --json on modified files to verify no related files need updates.

Graph-Trace Before Implementation

When graph DB is available, BEFORE writing code, trace to understand the blast radius:

• python .claude/scripts/code_graph trace <file-to-modify> --direction both --json — see what calls this code AND what it triggers
• python .claude/scripts/code_graph trace <file-to-modify> --direction downstream --json — see all downstream consumers
• This prevents breaking implicit dependencies (bus message consumers, event handlers)

2. Comprehensive Planning

• Use planner subagent with all research reports
• Create full plan directory with:
  • plan.md - Overview with risk assessment
  • phase-XX-*.md - Detailed phase files
  • Success criteria for each phase
  • Rollback strategy

3. Verified Implementation

• Implement one phase at a time
• After each phase:
  • Run type-check and compile
  • Run relevant tests
  • Self-review before proceeding

Batch Checkpoint (Large Plans)

For plans with 10+ tasks, execute in batches with human review:

1. Execute batch — Complete next 3 tasks (or user-specified batch size)
2. Report — Show what was implemented, verification output, any concerns
3. Wait — Say "Ready for feedback" and STOP. Do NOT continue automatically.
4. Apply feedback — Incorporate changes, then execute next batch
5. Repeat until all tasks complete

4. Mandatory Testing

• Use tester subagent for full test coverage
• Write tests for:
  • Happy path scenarios
  • Edge cases from research
  • Error handling paths
• NO mocks or fake data allowed
• Repeat until all tests pass

5. Mandatory Code Review

• Use code-reviewer subagent
• Address all critical and major findings
• Re-run tests after fixes
• Repeat until approved

6. Documentation Update

• Use docs-manager to update relevant docs
• Use project-manager to update project status
• Record any architectural decisions

7. Final Report

• Summary of all changes
• Test coverage metrics
• Security considerations addressed
• Unresolved questions (if any)
• Ask user to review and approve

When to Use

• Critical production features
• Security-sensitive changes
• Public API modifications
• Database schema changes
• Cross-service integrations

Quality Gates

Closing Reminders

• MUST break work into small todo tasks using TaskCreate BEFORE starting
• MUST search codebase for 3+ similar patterns before creating new code
• MUST cite file:line evidence for every claim (confidence >80% to act)
• MUST add a final review todo task to verify work quality
• MUST validate decisions with user via AskUserQuestion — never auto-decide MANDATORY IMPORTANT MUST READ the following files before starting:
• MUST READ .claude/skills/shared/understand-code-first-protocol.md before starting
• MUST READ .claude/skills/shared/plan-quality-protocol.md before starting
• MUST READ .claude/skills/shared/ui-system-context.md before starting
• MUST READ .claude/skills/shared/graph-assisted-investigation-protocol.md before starting