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.

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Install skill "cook-hard" with this command: npx skills add duc01226/easyplatform/duc01226-easyplatform-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.

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)

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:

  • Research — Deep investigation with multiple researcher subagents

  • Plan — Detailed plan with /plan-hard , user approval required

  • Implement — Execute with full code review and SRE review

  • 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

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.

  1. 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

  1. 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:

  • Execute batch — Complete next 3 tasks (or user-specified batch size)

  • Report — Show what was implemented, verification output, any concerns

  • Wait — Say "Ready for feedback" and STOP. Do NOT continue automatically.

  • Apply feedback — Incorporate changes, then execute next batch

  • Repeat until all tasks complete

  1. 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

  1. Mandatory Code Review
  • Use code-reviewer subagent

  • Address all critical and major findings

  • Re-run tests after fixes

  • Repeat until approved

  1. Documentation Update
  • Use docs-manager to update relevant docs

  • Use project-manager to update project status

  • Record any architectural decisions

  1. 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

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

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