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.

About

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

Workspace isolation using Git worktrees for clean project management
Multi-agent coordination including PM, Architect, Developer, and QA roles
TDD enforcement and two-stage code review for high-quality output
2 GitHub stars
Integrated browser testing using Chrome DevTools MCP for end-to-end validation
End-to-end SDLC automation from discovery to delivery

Use Cases

Managing a virtual team of AI agents to execute complex, multi-stage coding projects
Building a full-stack web or mobile application from a vague initial concept
Automating software development workflows including PRD generation and system architecture

About

Key Features

Workspace isolation using Git worktrees for clean project management
Multi-agent coordination including PM, Architect, Developer, and QA roles
TDD enforcement and two-stage code review for high-quality output
2 GitHub stars
Integrated browser testing using Chrome DevTools MCP for end-to-end validation
End-to-end SDLC automation from discovery to delivery

Use Cases

Managing a virtual team of AI agents to execute complex, multi-stage coding projects
Building a full-stack web or mobile application from a vague initial concept
Automating software development workflows including PRD generation and system architecture