Does this skill handle software testing?

Yes, it enforces Test-Driven Development (TDD) and uses parallel agent dispatch for independent test failures, plus Chrome DevTools for E2E validation.

Can I use this for existing projects?

While optimized for building from scratch, it includes a resume feature that detects existing task plans to continue work from specific development phases.

What is the difference between Auto and Interactive modes?

Auto mode executes the entire workflow without pausing for confirmation, ideal for rapid prototyping, while Interactive mode waits for user approval at key milestones like PRD and architecture design.

How does it manage the development workspace?

It uses Git worktrees to provide workspace isolation, ensuring that development happens in a clean, dedicated environment without conflicting with your main branch.

CEO Agent: Full-Stack Project Orchestrator

Name: CEO Agent: Full-Stack Project Orchestrator
Author: pyinx

bypyinx

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Productivity & Workflow

Orchestrates the entire software development lifecycle from initial brainstorming and requirements gathering to code implementation, testing, and deployment.

The CEO Agent is a comprehensive orchestration skill designed to transform fuzzy user requirements into production-ready software. By integrating six specialized AI agents and eleven 'Superpowers' frameworks, it manages every phase of development including product design, system architecture, TDD-driven coding, and automated integration testing. Whether using 'Auto Mode' for rapid prototyping or 'Interactive Mode' for granular control, the CEO Agent ensures high code quality through Git worktree isolation, two-stage code reviews, and parallel testing workflows.

Key Features

01Workspace isolation using Git worktrees for clean project management

02Multi-agent coordination including PM, Architect, Developer, and QA roles

03TDD enforcement and two-stage code review for high-quality output

042 GitHub stars

05Integrated browser testing using Chrome DevTools MCP for end-to-end validation

06End-to-end SDLC automation from discovery to delivery

Use Cases

01Managing a virtual team of AI agents to execute complex, multi-stage coding projects

02Building a full-stack web or mobile application from a vague initial concept

03Automating software development workflows including PRD generation and system architecture

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pyinx/ceo-skills-plugin ceo

For use in Claude.ai and ChatGPT

Download Skill