01
Author like a document
Domain experts write and edit skills with comments and suggested edits. No Git, no YAML, no pull requests.
Skills-over-MCP control plane
Creating a skill is easy. Governing dozens is not.
SkillOps is the one governed source your agents pull skills from — always the latest approved
version.
Experts author skills like documents. Owners approve every change. Claude, Codex, Cursor, and any MCP client fetch the current approved version at run time — and you finally see which skills work.
Claude
OpenAI Codex
Cursor
Any MCP client
How it works
One accountable loop, from expert knowledge to evidence.
Today those are four disconnected tools: a doc, a repo, a copy-paste, and a guess. SkillOps makes them one loop.
02
Approve before it ships
Owners review a plain-language diff, and risky changes hit required gates. Nothing unapproved ever reaches an agent.
03
Serve over MCP
The managed gateway serves exactly one thing: the latest approved version. Stale copies stop existing.
04
Measure, then improve
Every run reports what was served, read, and completed. Weak skills surface, and feedback becomes the next governed change.
Analytics & feedback
Know which skills actually work.
Every run reports back — served, read, started, completed, and how users rated the outcome. You see which skills carry their weight, which get ignored, and which quietly fail.
That evidence flows straight into the improvement queue, so an underperforming skill is never a mystery — it is the next change request.
Served
Read
Started
Completed
Evidence
Open source
The hosted app is retired. The system is open.
SkillOps is no longer a hosted service. The application — authoring, review, the managed gateway, and analytics — is open source under the Apache License 2.0. Clone it and run it yourself.