ywc-agentic

Name: ywc-agentic
Availability: InStock
Author: yongwoon

Orchestrate planning, execution, and evaluation phases for autonomous software development.

8|1|Updated May 13, 2026

Search Tags:#automation #workflow #development #orchestration #lifecycle #agentic

Ready to run

npx skills add https://github.com/yongwoon/ywc-agent-toolkit --skill ywc-agentic

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ywc-agentic
Source: https://github.com/yongwoon/ywc-agent-toolkit/tree/main/claude-code/skills/ywc-agentic
Command: npx skills add https://github.com/yongwoon/ywc-agent-toolkit --skill ywc-agentic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, gh.

What problem does it solve?

This Skill eliminates the need for manual oversight during complex development tasks by autonomously orchestrating the entire Plan-Execute-Evaluate-Repeat lifecycle to deliver verified code implementations.

Core Features & Use Cases

Autonomous Orchestration: Sequences planning, task generation, execution, and review phases without human intervention.
Iterative Quality Control: Automatically re-plans and re-executes based on evaluation feedback until implementation passes all checks.
Use Case: Use this when you need to implement a complex feature like a new authentication API from scratch, allowing the agent to handle the planning, task breakdown, coding, and review loop until the feature is production-ready.

Quick Start

Invoke the ywc-agentic skill with a natural language goal to autonomously implement the user authentication API.

Frequently Asked Questions about ywc-agentic

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

FAQPage Schema

How do I automate the software development lifecycle from specification to verified code?▼

Autonomous development lifecycle orchestration sequences planning, task generation, execution, and review phases without human intervention. It continuously re-plans and re-executes based on evaluation feedback until the implementation passes all checks.

How does iterative quality control work for automated code implementation?▼

Iterative quality control automatically re-plans and re-executes tasks based on evaluation feedback until the implementation passes all checks. This loop control mechanism ensures complex features are production-ready without manual intervention.

Does autonomous workflow orchestration require python3 and gh to run?▼

Yes, autonomous workflow orchestration requires python3 and gh as dependencies to function. You need these tools installed in your environment to execute the autonomous planning, coding, and review loop.

What is the best way to implement a complex feature like an authentication API from scratch?▼

The best way to implement a complex feature like an authentication API is to invoke autonomous orchestration with a natural language goal. The agent handles planning, task breakdown, coding, and iterative review until the feature is production-ready.

Can I use git-range evaluation for automated regression testing in my development workflow?▼

Yes, you can use git-range evaluation for automated regression testing within your development workflow. The orchestration applies this evaluation during the iterative loop control phase to verify code implementations.