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compozy

Orchestrate AI-assisted development workflows from ideation through archiving.

Updated Jul 7, 2026
Search Tags:#code review#task automation#dev lifecycle#ai-assisted development#compozy
One-click install
npx skills add https://github.com/ederfmatos/claude-voice-bridge --skill compozy-ederfmatos
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: compozy
Source: https://github.com/ederfmatos/claude-voice-bridge/tree/main/.claude/skills/compozy
Command: npx skills add https://github.com/ederfmatos/claude-voice-bridge --skill compozy-ederfmatos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires cy-idea-factory, cy-create-prd, cy-create-techspec, cy-create-tasks, cy-execute-task, cy-review-round, cy-fix-reviews, cy-final-verify, cy-workflow-memory, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the entire AI-assisted development lifecycle, from ideation to archiving, streamlining workflows and increasing productivity.

Core Features & Use Cases

  • Ideation: Expand raw ideas into structured specifications.
  • Product Requirements: Create detailed PRDs with parallel codebase and web research.
  • Technical Design: Translate PRDs into technical specifications with ADRs.
  • Task Decomposition: Break down specifications into implementable tasks.
  • Execution: Dispatch tasks to AI agents for implementation.
  • Review: Perform comprehensive code review and issue remediation.
  • Archiving: Archive completed workflows for later reference.
  • Use Case: If you're working on a new software project and need to go through the development process, this Skill will help you automate the steps of ideation, requirement gathering, design, and execution using AI agents.

Quick Start

Start a new workflow for 'Project X' by running the following command: /cy-create-prd Project X.

Frequently Asked Questions about compozy

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

FAQPage Schema
How do I automate the AI-assisted development lifecycle from ideation to code review?▼

Automating the AI-assisted development lifecycle requires orchestrating workflows across ideation, requirements, design, execution, and review. Compozy coordinates these stages using multiple AI runtimes to dispatch tasks, perform code review, and remediate issues automatically.

What is the best way to translate product requirements into implementable technical specifications?▼

Translating product requirements into technical specifications involves generating detailed technical designs with ADRs. This workflow creates technical specs from PRDs using parallel codebase and web research, then breaks down specifications into implementable tasks for AI agents.

Do I need specific AI runtime dependencies to use Compozy for task automation?▼

Yes, Compozy requires a set of core skills including ideation, PRD creation, tech spec generation, task execution, and review modules. It utilizes multiple AI runtimes for execution and review stages, and potentially third-party extensions for specialized tasks.

How do I start a new development workflow for a software project using AI agents?▼

To start a new development workflow, run the command `/cy-create-prd Project X` to initialize the process. This triggers the creation of detailed product requirements with parallel codebase research, which then flows into design and execution stages.

Can I perform comprehensive code review and issue remediation automatically with AI?▼

Yes, comprehensive code review and issue remediation can be automated within this workflow. The review stage performs thorough code analysis, and subsequent fix and final verification steps handle issue remediation before archiving completed workflows.

Does this development workflow tool support archiving completed AI-assisted projects?▼

Yes, the workflow supports archiving completed workflows for later reference. After task execution, code review, and final verification are complete, the archiving stage stores the entire workflow history and output.

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