collaborating-with-coco

Delegate coding tasks to Coco CLI for prototyping, debugging, and code review.

1|Updated Dec 31, 2025
One-click install
npx skills add https://github.com/luw2007/skills --skill collaborating-with-coco
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: collaborating-with-coco
Source: https://github.com/luw2007/skills/tree/main/collaborating-with-coco
Command: npx skills add https://github.com/luw2007/skills --skill collaborating-with-coco

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill enables Claude to delegate coding tasks to Coco CLI (Codebase Copilot) for multi-model collaboration on coding tasks, accelerating prototyping, debugging, and code reviews.

Core Features & Use Cases

  • Multi-turn sessions: Maintain conversation context across interactions via SESSION_ID for persistent workflows.
  • Fine-grained tool control: Enable or disable specific Coco tools for enhanced security.
  • YOLO mode & timeout controls: Bypass permission checks in trusted environments and configure timeouts for tools.
  • JSON output: Structured responses suitable for automation and integration.
  • Use case: Prototyping algorithms, debugging complex code paths, and code quality reviews with Coco assistance.

Quick Start

Run: python scripts/coco_bridge.py --cd "/path/to/project" --PROMPT "Analyze authentication flow"

Frequently Asked Questions about collaborating-with-coco

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

FAQPage Schema
How do I delegate coding tasks from Claude to Coco CLI for multi-model code review?

You can delegate coding tasks by running the Python bridge script, passing your project path and prompt. This enables multi-model collaboration for prototyping, debugging, and code review through Coco CLI.

Can I maintain conversation context across multiple turns when debugging complex code paths?

Yes, multi-turn sessions maintain conversation context across interactions via SESSION_ID. This allows persistent workflows for iterative debugging and algorithm implementation without losing prior context.

Do I need Python and Coco CLI installed to use this multi-model code collaboration workflow?

Yes, this workflow requires both Python scripts and the Coco CLI installed in your environment. These dependencies enable Claude to bridge with Coco for structured JSON output and tool control.

What is the best way to bypass permission checks during automated code debugging in trusted environments?

YOLO mode bypasses permission checks in trusted environments to streamline automated debugging. You can also configure tool timeouts and enable or disable specific Coco tools for enhanced security control.

Does this code collaboration bridge return structured JSON output for automation integration?

Yes, the bridge returns structured JSON output suitable for automation and integration. This formats Coco CLI responses for seamless processing when analyzing authentication flows or reviewing code quality.