Rdf — AI skill for Claude Code
Governance-driven AI development framework -- convention enforcement, quality gates, and domain expertise for Claude Code, Gemini CLI, and Codex.
How to install Rdf
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open rfxn/rdf and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Rdf does
Governance-driven AI development framework -- convention enforcement, quality gates, and domain expertise for Claude Code, Gemini CLI, and Codex.
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README
RDF -- rfxn Development Framework
[](https://github.com/rfxn/rdf/actions/workflows/ci.yml) [](LICENSE) [](https://github.com/rfxn/rdf/releases/latest)  
**Governance-driven AI development for teams that ship to production.**
RDF is a convention governance layer for AI coding agents. It sits between the human and the AI runtime (Claude Code, Codex, Antigravity CLI — plus Gemini CLI legacy), encoding project conventions, quality gates, and domain expertise into typed agent personas -- so the AI writes code that actually follows your rules.
**Drop it on any repo.** `/r-init` auto-detects your stack and scaffolds governance, quality gates, and typed agent personas -- no rfxn context required. Battle-tested on production security tooling (APF, LMD, BFD), built to generalize. The value is the pattern: governance-driven agents, adversarial quality gates, convention inheritance, and context-window management. *Issues and PRs welcome -- support is best-effort and community-driven.* **[Quickstart: your repo in 5 minutes ->](docs/quickstart.md)**
*Real recorded session: install RDF, initialize a plain Flask project, verify health — 42 seconds, no edits.*
1. How It Works
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Six universal agents handle every project. Their behavior is shaped by governance files initialized per-project -- not baked into prompts. A QA agent reviewing a ba
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