ck:cook

Automate end-to-end feature implementation through planning, coding, testing, and verification.

Updated Apr 2, 2026
One-click install
npx skills add https://github.com/EdgeHunt/EdgeHunt --skill ck-cook-edgehunt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:cook
Source: https://github.com/EdgeHunt/EdgeHunt/tree/main/.claude/skills/cook
Command: npx skills add https://github.com/EdgeHunt/EdgeHunt --skill ck-cook-edgehunt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

End-to-end feature implementation work is orchestrated: detecting intent, planning, coding, testing, and finalizing, to reduce manual coordination overhead.

Core Features & Use Cases

  • Smart intent detection to route to the correct workflow (interactive, fast, parallel, auto, no-test)
  • Plan-driven execution: generate or load a plan and execute in phases with review gates
  • Subagent orchestration: spawn researchers, planners, testers, and code reviewers to collaborate
  • Finalize & publish: sync plan status, update docs, and commit changes

Quick Start

Provide a natural-language feature request; the skill will detect intent, plan, implement, and verify.

Frequently Asked Questions about ck:cook

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate end-to-end feature implementation across multiple subagents?

The workflow detects intent from your natural-language feature request and routes it to an appropriate execution mode, such as interactive, auto, fast, parallel, or no-test. It then coordinates plan-driven execution by spawning subagents to handle research, UI work, testing, and code review.

What is plan-driven execution for complex software features?

Plan-driven execution generates or loads a structured plan and executes it in phases with mandatory review gates. This ensures complex software features are implemented systematically by coordinating multi-agent teams through each stage before finalizing and committing changes.

Does subagent orchestration work with code review and testing workflows?

Yes, subagent orchestration works with code review and testing by spawning dedicated subagents via Task tools. These subagents collaborate to handle research, planning, UI work, testing, and finalization, ensuring all verification steps are covered before changes are committed.

Can I use fast or parallel modes for feature implementation without manual coordination?

Yes, you can use fast, parallel, auto, or no-test modes to implement features without manual coordination. The workflow detects your intent and automatically delegates tasks to subagents, reducing overhead by managing research, coding, and verification across multi-agent teams.

What are the limitations of no-test mode for plan-based code execution?

No-test mode skips the testing and verification phases of plan-based execution, meaning changes are implemented and finalized without automated test validation. You should avoid this mode for complex features requiring strict verification gates or when code review subagents need test results.

Do I need structured frontmatter metadata to run the ck:cook skill?

Yes, structured frontmatter metadata is required to run the ck:cook skill, along with references for rules and mandatory subagent delegation via Task tools. These elements coordinate the research, planning, UI work, testing, and finalization phases across multi-agent teams.