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multi-ai-collab

Coordinates multiple AI agents to perform cross-review and collaborative development tasks.

1|Updated Jan 13, 2026
Search Tags:#automation#collaboration#CLI#personas#orchestration#multi-ai#cross-review
One-click install
npx skills add https://github.com/takuan-osho/ccmarketplace --skill multi-ai-collab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-ai-collab
Source: https://github.com/takuan-osho/ccmarketplace/tree/main/plugins/multi-ai-collab
Command: npx skills add https://github.com/takuan-osho/ccmarketplace --skill multi-ai-collab

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Multi-AI Collaboration Skill addresses the need for unbiased, thorough analysis and design by coordinating multiple AI agents with distinct personas to collaborate on software tasks (code reviews, architecture decisions, security assessments).

Core Features & Use Cases

  • Cross-Review: Independent analysis by Codex, Gemini, and Claude with a final synthesis to reduce bias.
  • Persona-Based Roles: Assign specialized roles (Architect, Security Researcher, QA Engineer, Code Reviewer, Performance Engineer) to each agent.
  • Flexible Workflows: Support Parallel, Sequential, Pipeline, and Adversarial modes to fit various collaboration scenarios.
  • Synthesis & Conflict Resolution: Consolidate results, highlight consensus and divergences, and surface actionable decisions for humans.
  • Extensibility: Add new agents, prompts, and templates to cover more domains (docs, design, testing).

Quick Start

Use the multi-ai-collab skill to orchestrate a pull request review by selecting personas, choosing a workflow, and triggering synthesis to produce a report ready for decision-making.

Frequently Asked Questions about multi-ai-collab

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

FAQPage Schema
How do I coordinate multiple AI agents like Codex and Claude for code review?▼

You can coordinate multiple AI agents by assigning specialized personas to each CLI and using parallel, sequential, pipeline, or adversarial workflows to synthesize a cohesive cross-review report.

Can I use multi-AI collaboration if one CLI agent is missing from my environment?▼

Yes, the orchestration handles missing agents gracefully and provides guidance for onboarding additional CLIs as needed, ensuring the workflow continues without critical failures.

What is the best way to reduce bias in AI-assisted architecture decisions?▼

The best way to reduce bias is running an adversarial or parallel workflow where independent agents analyze the architecture, followed by a synthesis phase that highlights consensus and divergences.

How does synthesis and conflict resolution work in multi-agent orchestration?▼

Synthesis works by consolidating the independent results from each AI persona, resolving conflicts by highlighting actionable decisions, and surfacing divergences for human review.

What specialized roles can I assign to AI agents during collaborative development?▼

You can assign specialized roles such as Architect, Security Researcher, QA Engineer, Code Reviewer, and Performance Engineer to distinct AI agents for targeted analysis.

Do I need a specific workflow mode for pull request reviews with multiple AI agents?▼

No specific mode is required; you can choose parallel, sequential, pipeline, or adversarial workflows based on your review needs, triggering synthesis to produce a decision-ready report.

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