reactive-loop

Orchestrate multi-agent development loops for feature implementation with error routing.

13|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/fredericvilcot/clean-claude --skill reactive-loop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reactive-loop
Source: https://github.com/fredericvilcot/clean-claude/tree/main/.claude/skills/reactive-loop
Command: npx skills add https://github.com/fredericvilcot/clean-claude --skill reactive-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the entire software development lifecycle for new features by orchestrating a team of specialized AI agents, ensuring continuous collaboration and self-correction.

Core Features & Use Cases

  • Automated Workflow: Manages the end-to-end process from feature definition to completion.
  • Smart Routing: Intelligently routes errors and issues to the appropriate agent for resolution.
  • Self-Correction: Implements a reactive loop where agents fix bugs, clarify specs, and refine designs based on feedback.
  • Use Case: Initiate the loop for a new feature, and watch as agents define requirements, design the architecture, implement the code, and test it, with automatic retries and issue resolution until success.

Quick Start

Start the reactive loop for a new feature by describing what you want to build.

Frequently Asked Questions about reactive-loop

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

FAQPage Schema
How do I automate the software development lifecycle for a new feature using multiple AI agents?

Automated multi-agent development loops orchestrate specialized product owner, architect, frontend, backend, and QA engineers through defined phases. They manage the end-to-end process from feature definition to completion with smart error routing and self-correction.

What is a reactive development loop and how does it handle errors during feature implementation?

A reactive development loop implements self-correction by intelligently routing errors to the appropriate agent for resolution. Agents automatically fix bugs, clarify specs, and refine designs based on feedback with built-in retry mechanisms until implementation succeeds.

How do I set up an environment for multi-agent workflow automation and context persistence?

Multi-agent workflow automation requires setting up a .clean-claude directory for state management and context persistence. This directory enables continuous collaboration and maintains phase progression across specialized agents throughout the development lifecycle.

Can I use automated agent loops for both frontend and backend development tasks?

Automated agent loops support both frontend and backend development tasks by orchestrating dedicated specialized engineers. The loop integrates these roles through defined phases, ensuring cohesive architecture design and code implementation across the entire stack.

What is the best way to manage continuous collaboration between product owners and QA engineers in an automated workflow?

Managing continuous collaboration between product owners and QA engineers is handled by a reactive loop that defines requirements, implements code, and tests it. The loop automatically clarifies specifications and routes testing feedback for issue resolution until success.