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axtonliu/ai-pair reference

AI Pair Collaboration skill. Coordinates multiple AI models to work together: one creates (Author/Developer), two others review (Codex + Gemini). Works for code, articles, video scripts, and creative tasks. Uses Claude Code's native Agent Teams capability with heterogeneous model reviewers.

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axtonliu/ai-pair

  • **Archetype**: utility-with-skill
  • **Stars**: 190
  • **Last pushed**: 2026-04-12 (approx)
  • **License**: MIT
  • **Discovered**: 2026-04-12
  • **Source**: gh-search (code: SKILL.md)
  • **Skills found**: 1

Summary

AI Pair Collaboration skill. Coordinates multiple AI models to work together: one creates (Author/Developer), two others review (Codex + Gemini). Works for code, articles, video scripts, and creative tasks. Uses Claude Code's native Agent Teams capability with heterogeneous model reviewers.

Assessment

MEDIUM-HIGH VALUE. The multi-model review pattern (author + 2 reviewers from different model families) is a sophisticated orchestration pattern. The insight that "different AI models have fundamentally different review tendencies -- they look at completely different dimensions" is valuable. This maps directly to babysitter's multi-harness capabilities.

Extraction Priority

MEDIUM-HIGH -- The heterogeneous-reviewer pattern is directly extractable:

  • Multi-model review -> methodologies/ (quality assurance methodology)
  • Team coordination -> specializations/shared/ (cross-domain collaboration pattern)

Processes

1. **heterogeneous-ai-review** -- Author creates -> Codex reviews from angle A -> Gemini reviews from angle B -> synthesize feedback 2. **ai-dev-team** -- Developer + codex-reviewer + gemini-reviewer for code 3. **ai-content-team** -- Author + codex-reviewer + gemini-reviewer for content

Plugin Ideas

  • **multi-harness-review plugin**: Babysitter plugin that dispatches review tasks to multiple harnesses and synthesizes their feedback

Library Mapping

Extractable ProcessLibrary StatusActionExisting PathTarget Placement
Heterogeneous AI ReviewNEWMulti-model review pattern with feedback synthesis-methodologies/heterogeneous-ai-review/
AI Development Team CoordinationNEWCode review with multiple AI model perspectives-specializations/shared/ai-team-coordination.js
AI Content Team OrchestrationNEWContent review and creation with diverse model feedback-specializations/shared/ai-content-team-orchestration.js

Plugin Marketplace Mapping

Plugin IdeaMarketplace StatusActionExisting PluginTarget Placement
Multi-Harness ReviewNEWOrchestrate review tasks across multiple AI harnesses with feedback synthesis-plugins/a5c/marketplace/plugins/multi-harness-review/

Implicit Procedural Knowledge

  • Different model families find different categories of issues (coverage maximization through diversity)
  • Team architecture: Commander (user) -> Team Lead (Claude) -> Specialists (Codex, Gemini)
  • team-stop command for clean resource teardown