cross-ai-collaboration

Generate self-contained collaboration documents for sharing technical issues with external AI systems.

Updated Aug 2, 2026
One-click install
npx skills add https://github.com/bankielewicz/DevForgeAI --skill cross-ai-collaboration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cross-ai-collaboration
Source: https://github.com/bankielewicz/DevForgeAI/tree/main/.claude/skills/cross-ai-collaboration
Command: npx skills add https://github.com/bankielewicz/DevForgeAI --skill cross-ai-collaboration

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of sharing complex technical issues with external AI systems, ensuring all necessary context, code, and constraints are packaged for effective collaboration.

Core Features & Use Cases

  • Issue Packaging: Consolidates problem descriptions, affected code, and project constraints into a single, shareable document.
  • Cross-AI Problem Solving: Facilitates joint troubleshooting and fresh perspectives from peer LLMs like Gemini or ChatGPT.
  • Use Case: You're stuck on a bug. Use this Skill to generate a comprehensive report detailing the issue, relevant code snippets, and your analysis, then send it to another AI for a second opinion.

Quick Start

Use the cross-ai-collaboration skill to generate a document for sharing the current issue with Gemini.

Frequently Asked Questions about cross-ai-collaboration

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

FAQPage Schema
How do I package a complex debugging issue to share with another AI?

Yes, you can use cross-AI collaboration to package technical issues and share them with external systems like Gemini or ChatGPT to get fresh perspectives and joint troubleshooting insights.

What is the best way to share project context and code artifacts with an external LLM?

The collaboration document consolidates problem descriptions, affected code snippets, project context, and constitutional constraints into a single, self-contained file for effective peer LLM troubleshooting.

How do I prepare a technical issue report for peer AI review?

Cross-AI collaboration supports interactive context gathering and structured output generation, allowing you to dynamically collect necessary project details and code before packaging them for external review.

Can I use this approach to get a second opinion on a bug from ChatGPT or Gemini?

You do not need any external dependencies to package issues. The Skill operates independently to bundle your problem descriptions, code artifacts, and constraints into a shareable format.