How do the different execution modes work?

Interactive mode provides a menu for manual worker selection; Auto mode follows a predefined sequence of tasks automatically; and Parallel mode runs multiple specialized workers simultaneously to aggregate complex analysis.

What worker roles are included in this skill?

CCW Loop-B includes specialized worker definitions for session initialization (init), implementation (develop), problem diagnosis (debug), and testing (validate).

What is the Hybrid Orchestrator Pattern in CCW Loop-B?

It uses a central 'Coordinator' to manage session state and user interaction while delegating specific technical tasks to specialized 'Worker' agents dedicated to development, debugging, or validation.

Can I resume a previous development session?

Yes, by using the --loop-id argument, you can continue an existing workflow with all previous state, progress files, and worker outputs preserved.

CCW Loop-B Hybrid Orchestrator

Name: CCW Loop-B Hybrid Orchestrator
Author: catlog22

bycatlog22

•

1,232

Productivity & Workflow

Orchestrates complex iterative development tasks using a hybrid multi-agent pattern with specialized workers for coding, debugging, and validation.

About

CCW Loop-B is a sophisticated workflow management skill for Claude Code that implements a hybrid orchestrator pattern. It manages a central coordinator that delegates specific development tasks to specialized worker agents, supporting interactive, automated, and parallel execution modes. By providing a structured state management system and clear role definitions (Develop, Debug, Validate), it streamlines the software development lifecycle from initial implementation through rigorous testing and problem resolution.

Key Features

Three execution modes: Interactive, Auto-chaining, and Parallel analysis
Automated state management with persistent JSON-based session tracking
Intelligent batch worker management with result merging and loop-back logic
Specialized worker roles for development, debugging, and validation
Hybrid Orchestrator Pattern with a central coordinator and specialized workers
1,232 GitHub stars

Use Cases

Managing large-scale refactoring tasks through structured multi-agent collaboration
Automating the end-to-end implementation, debugging, and testing of new features
Conducting multi-dimensional parallel analysis on complex bugs or performance issues

About

Key Features

Three execution modes: Interactive, Auto-chaining, and Parallel analysis
Automated state management with persistent JSON-based session tracking
Intelligent batch worker management with result merging and loop-back logic
Specialized worker roles for development, debugging, and validation
Hybrid Orchestrator Pattern with a central coordinator and specialized workers
1,232 GitHub stars

Use Cases

Managing large-scale refactoring tasks through structured multi-agent collaboration
Automating the end-to-end implementation, debugging, and testing of new features
Conducting multi-dimensional parallel analysis on complex bugs or performance issues