How does Autopilot manage complex coding tasks?

It breaks tasks down into four distinct stages: requirements gathering, strategic planning, implementation, and verification, assigning specific agents to each phase.

Does Autopilot document its progress?

Yes, it creates and maintains WORKFLOW_STATE.yaml, REQUESTS.md, and PROGRESS.md files to ensure the user can audit the autonomous work at any time.

What is the Autopilot Claude Code skill?

Autopilot is a specialized skill for Claude Code that invokes a team of specialized agents to handle a software project from start to finish without needing constant user input.

Are there safety limits for autonomous execution?

Yes, the skill has a maximum limit of 15 iterations and will automatically pause and report progress to the user if it gets stuck or reaches the limit.

How does it handle very large projects?

If the requirements analysis reveals the project involves more than 20 files or 3 domains, the skill will recommend switching to a specialized 'bigproject' mode.

Autonomous Development Autopilot

Name: Autonomous Development Autopilot
Author: seokan-jeong

byseokan-jeong

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Productivity & Workflow

Orchestrates a multi-agent team to autonomously complete the full software development lifecycle from requirements analysis to final verification.

The Autopilot skill leverages the Team Shinchan multi-agent framework to handle complex coding tasks without manual intervention. By distributing specialized roles—such as requirements analysis, strategic planning, implementation, and quality verification—among distinct agents, it ensures a structured and reliable development process. The skill manages its own state via WORKFLOW_STATE.yaml and includes built-in safety mechanisms like iteration limits and progress monitoring, making it an essential tool for developers who want to delegate entire feature builds or bug-fixing cycles to an intelligent, self-correcting AI team.

Key Features

01Automatic state persistence and workflow stage management

02Self-healing capabilities with automated issue discovery and fixing

03Specialized multi-agent role distribution for planning and execution

04Built-in safety limits with a 15-iteration maximum

056 GitHub stars

06End-to-end SDLC automation from analysis to testing

Use Cases

01Rapid prototyping of complex systems using multi-agent brainstorming

02Building full-stack features from high-level user requirements

03Automated bug discovery, patching, and verification

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add seokan-jeong/team-shinchan autopilot

For use in Claude.ai and ChatGPT

Download Skill