ck:cook

Orchestrates end-to-end feature implementation with task planning, execution, and review phases via Claude Tasks and sub-agents.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/weihung0831/claudekit --skill ck-cook-weihung0831
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:cook
Source: https://github.com/weihung0831/claudekit/tree/main/.opencode/skills/cook
Command: npx skills add https://github.com/weihung0831/claudekit --skill ck-cook-weihung0831

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the entire process of implementing features, plans, or fixes, from initial intent detection to final commit, streamlining the development workflow.

Core Features & Use Cases

  • Smart Intent Detection: Automatically determines the best workflow mode (interactive, auto, fast, parallel, no-test, code) based on input.
  • End-to-End Orchestration: Manages research, planning, implementation, testing, code review, and finalization using specialized sub-agents.
  • Use Case: A developer can simply state "Implement user authentication with email and Google OAuth" and the skill will handle the research, planning, coding, testing, and review, requiring user approval at key stages unless in auto mode.

Quick Start

Use the cook skill to implement the user profile update feature.

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 from planning to code review?

End-to-end feature implementation is automated by detecting user intent and routing to workflows that manage research, planning, coding, testing, and code review using specialized sub-agents. You simply state the feature request, and the system orchestrates the entire development lifecycle through mandatory review gates.

What is the best way to manage code generation and testing workflows for a new feature?

Managing code generation and testing workflows is handled by orchestrating sub-agents across sequential phases, from initial research to finalization. The system delegates critical steps to specialized agents and enforces mandatory review gates to ensure code quality before finalizing the implementation.

Can I run feature implementation in parallel or skip tests during code generation?

Yes, feature implementation supports multiple modes including parallel, fast, no-test, and code execution modes. You can select the appropriate workflow mode based on your needs, allowing you to skip tests or run processes concurrently to accelerate development.

Does the workflow automation require manual approval at every implementation phase?

Workflow automation requires mandatory approval at critical review gates during interactive mode, but you can bypass these checkpoints by using auto mode. Auto mode allows the system to proceed through research, planning, implementation, testing, and code review phases autonomously without manual intervention.

When should I use subagent delegation for feature implementation and code review?

Subagent delegation should be used for critical steps in feature implementation where specialized focus is needed for research, planning, coding, or testing. The system automatically delegates these critical steps to appropriate sub-agents to maintain quality across the workflow automation pipeline.

How does intent detection work for routing feature implementation requests?

Intent detection for routing feature implementation works by analyzing the user's input request and automatically determining the best workflow mode. The system evaluates the stated feature or fix requirements and selects the appropriate execution path, whether interactive, auto, fast, parallel, or no-test mode.