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 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.

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 ANY task touching .ts, .html, .scss, or .css files:

MUST ATTENTION READ before implementing:

1. docs/project-reference/frontend-patterns-reference.md — component base classes, stores, forms
2. docs/project-reference/scss-styling-guide.md — BEM methodology, SCSS variables, mixins, responsive
3. docs/project-reference/design-system/README.md — design tokens, component inventory, icons

Reference docs/project-config.json for project-specific paths.

• 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 — MANDATORY when .code-graph/graph.db exists.

HARD-GATE: MUST ATTENTION run at least ONE graph command on key files before concluding any investigation.

Pattern: Grep finds files → trace --direction both reveals full system flow → Grep verifies details

Task	Minimum Graph Action
Investigation/Scout	trace --direction both on 2-3 entry files
Fix/Debug	callers_of on buggy function + tests_for
Feature/Enhancement	connections on files to be modified
Code Review	tests_for on changed functions
Blast Radius	trace --direction downstream

CLI: python .claude/scripts/code_graph {command} --json. Use --node-mode file first (10-30x less noise), then --node-mode function for detail.

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

For plans with 10+ tasks, do NOT execute all tasks continuously without checkpoint. Stop after every batch for human review. This prevents runaway execution where early mistakes compound through later tasks.

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

Gate	Criteria
Research	2+ researcher reports
Planning	Full plan directory
Tests	All pass, no mocks
Review	0 critical/major findings
Docs	Updated if needed

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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 read frontend-patterns-reference, scss-styling-guide, design-system/README before any UI change.
• MANDATORY IMPORTANT MUST ATTENTION run at least ONE graph command on key files when graph.db exists. Pattern: grep → graph trace → grep verify.
• 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.