cook

Detect natural language inputs and route them to software feature implementation workflows.

1|1|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/Thanh-apero/apero-kit-cli --skill cook-thanh-apero
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cook
Source: https://github.com/Thanh-apero/apero-kit-cli/tree/main/templates/skills/cook
Command: npx skills add https://github.com/Thanh-apero/apero-kit-cli --skill cook-thanh-apero

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires researcher, planner, ui-ux-designer, tester, debugger, code-reviewer, project-manager, docs-manager, git-manager, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the complex process of implementing new features, plans, or fixes in software projects by automating the workflow, research, and implementation steps.

Core Features & Use Cases

  • Automated Workflow Detection: Automatically identifies the workflow mode based on input flags, keywords, and feature count.
  • End-to-End Implementation: Handles research, planning, implementation, testing, and finalization.
  • Use Case: When you want to implement a new feature in your software project, use this Skill to automatically manage the entire process from research to deployment.

Quick Start

Use the cook skill to implement a new feature by typing: /cook implement feature

Frequently Asked Questions about cook

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

FAQPage Schema
How do I automate software feature implementation from research to deployment?

Automating software feature implementation requires routing natural language inputs to intelligent workflows. This process detects user intent to automatically manage research, planning, coding, testing, and finalization using AI agents.

How does intent detection work for software development workflows?

Intent detection for software development workflows works by analyzing input flags, keywords, and feature counts. The system automatically identifies the correct workflow mode and routes the request to the appropriate AI-driven development process.

Can I use AI agents to manage research, planning, and testing for a new feature?

Yes, you can use Claude AI agents and Task tools to manage research, planning, and testing. This end-to-end implementation approach automates the entire lifecycle from initial requirement gathering to final code review.

What is the best way to streamline feature implementation with workflow automation?

The best way to streamline feature implementation with workflow automation is using an intelligent routing system that orchestrates dependencies. It coordinates researcher, planner, tester, and git-manager agents to execute tasks seamlessly.

Do I need specific AI tools to run automated software development workflows?

Yes, you need Claude AI agents and Task tools to execute and track automated software development workflows. These dependencies are required to handle the intelligent intent detection and route processes appropriately.

What are the limitations of using intent detection for feature implementation?

Intent detection for feature implementation relies heavily on input flags and keywords to determine workflows. Limitations include the strict dependency on Claude AI agents and Task tools, meaning execution fails without these specific environments.