Let the next person benefit
Capture a correction where the work happens. OMS updates shared guidance so colleagues’ agents can use the lesson too.
Why choose OMS?
Your team’s knowledge. Across your AI tools.
A lesson learned in Claude should help a colleague using Cursor too. OMS turns corrections into shared skills, keeps them up to date and delivers them across compatible agent platforms. Your team can choose its tools without keeping a separate set of lessons for each one.
A useful correction
From someone on your team
OMS
Check, update and publish guidance
Your connected agents
- Claude Code
- Cursor
- Codex
- Windsurf
- Antigravity
The case for OMS
Turn repeated corrections into shared skills.
Choose OMS when the lessons your team learns need to reach further than one person, one project or one AI tool.
Keep changing rules in order
Find related instructions, resolve conflicting advice and replace outdated rules. Your team reviews changes instead of maintaining every file by hand.
Give each team its own skills
Enterprise supports multiple teams with separate skills. Keep specialist guidance with the people who need it and choose what to share more widely.
Control what gets shared
Screen contributions, set review policies and choose who receives updates. Trace a rule back to its source and restore earlier guidance when needed.
Automated learning is available in Pro and Enterprise. Review and deployment controls depend on your edition and configuration.
Compare the approaches
Go beyond sharing instruction files.
OMS connects correction capture, guidance updates and controlled distribution. It works alongside the tools you already use.
Platform skills and rules
- What it provides
- Claude offers organisation skills and group sharing. Cursor offers centrally managed team rules.Claude: organisation skill managementCursor: team rules
- What OMS adds
- Carry lessons across agent platforms, with one process for collecting corrections and updating shared skills.
Skills maintained in Git
- What it provides
- Portable files, version history and pull-request reviews. Your team or automation maintains their contents.
- What OMS adds
- Find the rules a correction affects, reconcile the change and publish updated skills. Keep the history behind each rule.
Agent memory
- What it provides
- Remembers information from work or conversations. Sharing and control vary by product.
- What OMS adds
- Manage shared working instructions with team boundaries, review policies and published versions, alongside the agent’s memory.
Measured results
Guidance that helped more lessons stick.
After 640 corrections, agents using OMS-managed instructions followed the tested rule on the first try more often than agents using AI-updated instruction files.
See the results and test method59%
OMS-managed instructions
189 of 319 tasks
40%
AI-updated instruction files
128 of 320 tasks
Your knowledge stays yours
Keep your knowledge when your tools change.
Your organisation keeps its published skills and supporting files. Reuse that guidance across compatible agents instead of leaving your team’s lessons inside one platform.
Tool-specific scripts, permissions and integrations may need adaptation and testing. Installed skill files remain readable without a live OMS connection; live MCP retrieval needs OMS to be available.
Put your team’s lessons to work.
Bring the agents, skills and repeat corrections your team already has. We’ll show you how OMS would connect them and what installation involves.
Book an OMS demo