Borda/AI-Rig

🏠 Borda's AI-Rig

Specialist-agent infrastructure for Python/ML OSS — the scaffolding that lets you maintain at scale without becoming a full-time reviewer.

14 specialist agents · 20+ slash-command workflows · 5 domain plugins — opinionated Claude Code + Codex CLI configuration for Python/ML OSS maintainers, version-controlled and self-calibrating.

<details> <summary><strong>Contents</strong></summary>

• 🚀 What This Setup Enables
• ⚡ Quick Start
• 🔁 Daily OSS Workflow
• 🎯 Why
• 💡 Design Principles
• 🧩 Agents
• 🤖 Claude Code
• 🤖 Codex CLI
• 🤝 Claude + Codex Integration
• 🛠 Recommended Add-ons
• 📦 What's Here
• 🔌 Plugin Management

</details>

🚀 What This Setup Enables

Things not possible with vanilla Claude Code:

• Parallel multi-specialist PR review with convergence callouts. /oss:review fans six specialist agents — architecture, tests, perf, docs, lint, security — plus an independent Codex pre-pass, all running simultaneously. The consolidator flags every finding that two or more reviewers independently raised. You see both per-dimension analysis and the overlap, in one report.

• Feature development that cannot skip the demo test. /develop:feature requires a failing demo test to exist and pass review before a single line of production code is written. The gate is structural — the workflow does not proceed to implementation without it.

• **Metric-driven experiment loop