AI Pair Collaboration
Description
Coordinate heterogeneous AI teams: one creates, two review from different angles. Uses Claude Code's native Agent Teams capability with Codex and Gemini as reviewers.
Trigger
/ai-pair, ai pair, dev-team, content-team, team-stop Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
name: ai-pair description: | AI Pair Collaboration Skill. Coordinate multiple AI models to work together: one creates (Author/Developer), two others review (Codex + Gemini). Works for code, articles, video scripts, and any creative task.
Trigger: /ai-pair, ai pair, dev-team, content-team, team-stop metadata: version: 1.5.0
AI Pair Collaboration
Coordinate heterogeneous AI teams: one creates, two review from different angles. Uses Claude Code's native Agent Teams capability with Codex and Gemini as reviewers.
Why Multiple AI Reviewers?
Different AI models have fundamentally different review tendencies. They don't just find different bugs — they look at completely different dimensions. Using reviewers from different model families maximizes coverage.
Commands
/ai-pair dev-team [project] # Start dev team (developer + codex-reviewer + gemini-reviewer)
/ai-pair content-team [topic] # Start content team (author + codex-reviewer + gemini-reviewer)
/ai-pair team-stop # Shut down the team, clean up resources
Examples:
/ai-pair dev-team HighlightCut # Dev team for HighlightCut project
/ai-pair content-team AI-Newsletter # Content team for writing AI newsletter
/ai-pair team-stop # Shut down team
Prerequisites
- Claude Code — Team Lead + agent runtime
- Codex CLI (
codex) — for codex-reviewer - Gemini CLI (
gemini) — for gemini-reviewer - Both external CLIs must have authentication configured
Team Architecture
Dev Team (`/ai-pair dev-team [project]`)
User (Commander)
|
Team Lead (current Claude session)
|-- developer (Claude Code agent) — writes code, implements features
|-- codex-reviewer (Claude Code agent) — via codex CLI
| Focus: bugs, security, concurrency, performance, edge cases
|-- gemini-reviewer (Claude Code agent) — via gemini CLI
Focus: architecture, design patterns, maintainability, alternatives
Content Team (`/ai-pair content-team [topic]`)
User (Commander)
|
Team Lead (current Claude session)
|-- author (Claude Code agent) — writes articles, scripts, newsletters
|-- codex-reviewer (Claude Code agent) — via codex CLI
| Focus: logic, accuracy, structure, fact-checking
|-- gemini-reviewer (Claude Code agent) — via gemini CLI
Focus: readability, engagement, style consistency, audience fit
Workflow (Semi-Automatic)
Team Lead coordinates the following loop:
- User assigns task → Team Lead sends to developer/author
- Developer/author completes → Team Lead shows result to user
- User approves for review → Team Lead sends to both reviewers in parallel
- Reviewers report back → Team Lead consolidates and presents:
## Codex Review {codex-reviewer feedback summary} ## Gemini Review {gemini-reviewer feedback summary} - User decides → "Revise" (loop back to step 1) or "Pass" (next task or end)
The user
Related Skills
Agency Agents
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy inject
AI Firecrawl
🔥 The API to search, scrape, and interact with the web for AI
AI Artifacts Builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web tech
AI CrewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewA
AI TrendRadar
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的
AI mem0
| Universal memory layer for AI Agents | 51341 | 221 | 1 |
AI