GitHub - gbouziden/skillrail: One versioned source for AI agent skills, compiled to Claude Code, Cursor, Copilot, Windsurf, and AGENTS.md. Zero dependencies. · GitHub
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skillrail
One skill source. Every agent surface.
Your org writes the same agent instructions five times: a Claude Code skill, a Cursor rule, a Copilot instructions file, a Windsurf rule, and an AGENTS.md section. They drift immediately, nobody knows which version is current, and there's no owner, no versioning, and no review gate.
Anthropic's own enterprise guidance tells you to solve this yourself:
"Custom Skills do not sync across surfaces… If your organization deploys Skills across multiple surfaces, implement your own synchronization process."<br>"Maintain an internal registry for each Skill with: Purpose… Owner… Version… Dependencies… Evaluation status."<br>— Anthropic Agent Skills enterprise docs
skillrail is that missing piece: a canonical, versioned skill registry that compiles to every tool your teams actually use.
How it works
Skills live once, in the open Anthropic SKILL.md format, with org metadata:
skills/<br>deploy-checklist/<br>SKILL.md # frontmatter: name, description, version, owner, targets<br>reference.md # optional supporting files (copied for Claude)
npm i -g skillrail<br>skillrail init # set up skillrail.json + skills/ in a repo<br>skillrail add deploy-checklist # scaffold a skill<br>skillrail sync # compile + write to every configured target
sync generates, idempotently, with do-not-edit provenance headers:
Target<br>Output
claude<br>.claude/skills// (verbatim, supporting files included)
cursor<br>.cursor/rules/.mdc
copilot<br>.github/instructions/.instructions.md
windsurf<br>.windsurf/rules/.md
agentsmd<br>one managed block in AGENTS.md (Codex, Jules, Amp, …)
Per-skill targeting: targets: [claude, cursor] in frontmatter overrides the project default.
Share skills across the org
Any git repo is a registry — platform team publishes, product teams consume:
skillrail pull git@github.com:acme/agent-skills.git deploy-checklist<br>skillrail sync
The lockfile records origin + commit for every installed skill.
Governance built in
skillrail check # lint: description present & ≤1024 chars, owner set, semver,<br># body ≤500 lines — exit 1 on failure (CI gate)<br>skillrail status # exit 2 if any target is stale, missing, or DRIFTED<br># (drift = someone hand-edited a generated file; flagged before sync overwrites it)<br>skillrail list # inventory: version, owner, targets, origin
Drop check + status into CI and skill quality/consistency becomes a merge requirement, exactly the lifecycle Anthropic's enterprise docs prescribe — but automated.
Why this exists (the market gap, verified mid-2026)
Agent observability/eval is saturated (Braintrust $80M Series B; Langfuse acquired by ClickHouse; promptfoo acquired by OpenAI).
Memory, orchestration, and interop are absorbed by funded startups and hyperscalers (Mem0, Letta; A2A in Copilot Studio and Bedrock AgentCore).
But skill/instruction management across tools and teams has no incumbent : vendors each ship their own silo format, Anthropic explicitly punts cross-surface sync to customers, and 97% of orgs report they haven't scaled agents across the organization.
Roadmap (the paid layer)
The CLI stays MIT/open-source. The hosted product adds what teams pay for:
Hosted registry — private org registry with RBAC, review/approval flow on skill versions, and audit log.
Usage telemetry — which skills get invoked, by which agents, and which correlate with successful runs; kill dead skills with data.
API/claude.ai surface push — sync skills to Anthropic API workspaces and claude.ai, not just repos.
Skill eval harness — run...