SkillRelay vs. a shared Git repo of skills
A shared Git repository is a legitimate way to manage AI skills for an all-engineering team: files, history, and pull-request review are all real strengths. The approach breaks on edit access, because changing a skill requires Git and a coding agent, which excludes everyone whose only AI surface is claude.ai or chatgpt.com.
What a Git repo does well
Skills are plain files, so a repo gives you the best change history in this comparison: commits, blame,
diffs, and revert. Pull requests are a mature review gate. Tools that read repositories pick skills up
directly: Cursor discovers .agents/skills/ and imports repo skills as remote rules
(Cursor docs), Codex installs git-backed plugin marketplaces with
automatic upgrades, Claude Code adds marketplaces by repo name, and Copilot's coding agent reads
AGENTS.md (GitHub changelog).
Where it breaks
Edit access. The person who knows the refund policy changed is usually not a person with a Git client. In the repo model they can consume skills but cannot fix one; every correction routes through an engineer. Chat-app delivery. claude.ai and chatgpt.com do not read arbitrary Git repositories, so the repo's contents still have to be packaged into each vendor's distribution format (a Claude plugin marketplace, an OpenAI plugin) and re-packaged on every change. Update latency. Checked-out copies update when each person pulls.
What SkillRelay does differently
SkillRelay keeps the repo, and generates it. The database is the source of truth; every change renders a Git repository that carries the Claude plugin marketplace, the OpenAI plugin marketplace, and the Agent Skills directories, then publishes it as a merged pull request. Engineers keep everything they had (a repo, history, diffs), and everyone else gains what the repo model never gave them: editing by describing the change in chat, with versioning, named authors, one-sentence revert, and optional approval gates enforced server-side.
SkillRelay is a hosted skill library that syncs across the AI tools a team uses. Overview · Product reference · How it works