operator-os
CLAUDE.md0 starsChanged 5 months agoMITView on GitHub
Route first. Retrieve, don't pre-load. Full explanation: docs/ai-os-framework.md.
- Reads credentials
We split this CLAUDE.md into the rules it gives an agent
6 rules. About 0 are common, 2 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Very specific: line 22
If this is your first session: run /onboard — it will guide you through imprinting the OS with your identity, domains, connections, and …
- Very specific: line 23
If you have an existing imprint: check operators/<your-slug>/IMPRINT.md for any open handoffs or pending cadence items.
- Very specific: line 24
If something feels stale: run /audit to grade the workspace against its own standards, then /level-up to surface the improvement queue.
- Very specific: line 43
Never commit credentials. Use .env.local (gitignored).
- Distinctive: line 44
Never leave a mid-phase swarm build without a handoff document.
- Distinctive: line 46
Read before editing any file.
≈ “Common” is an estimate: at least 1 in 5 of the 25,680 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
operator-os — Root Router
Route first. Retrieve, don't pre-load.
| Need | Go here |
| What this OS is and how it works | docs/ai-os-framework.md |
| How persistent knowledge works | docs/protocols/persistent-knowledge.md |
| How multi-agent swarms are structured | docs/protocols/multi-agent-coordination.md |
| How to extend the OS with new skills/agents | docs/protocols/capability-extension.md |
| Skill naming, model pins, conventions | docs/conventions/ |
| Wiki routing (what's in the knowledge base) | wiki/ROUTER.md |
| Swarm protocol (role taxonomy, handoff, HITL) | swarms/PROTOCOL.md |
| Run the three rituals | /onboard · /audit · /level-up |
| See a working end-to-end example | swarms/example-research-swarm/CLAUDE.md |
| Your operator imprint | operators/<your-slug>/IMPRINT.md |
Session start checklist
- If this is your first session: run
/onboard— it will guide you through imprinting the OS with your identity, domains, connections, and first swarm. - If you have an existing imprint: check
operators/<your-slug>/IMPRINT.mdfor any open handoffs or pending cadence items. - If something feels stale: run
/auditto grade the workspace against its own standards, then/level-upto surface the improvement queue.
The Four Cs (tl;dr)
| Layer | Question answered | Lives in |
| Context | What does the OS know? | wiki/ |
| Connections | What can it reach? | .mcp.json · .env.example |
| Capabilities | What can it do? | .claude/skills/ · .claude/commands/ · swarms/ |
| Cadence | What runs on rhythm? | .claude/settings.json hooks · /loop · /schedule |
Full explanation: docs/ai-os-framework.md.
Rules
- Never commit credentials. Use
.env.local(gitignored). Only${VAR}references enter.mcp.json. - Never leave a mid-phase swarm build without a handoff document.
- Plan before 3+ step tasks. Spec before build.
- Read before editing any file.
- Agents work inside the workspace; the workspace governs the agents.
In this repository11 other files it gives its agents.
- wiki/CLAUDE.mdCLAUDE.md
- cross-linkerSkill
- find-skillsSkill
- skill-creatorSkill
- summarize-sourceSkill
- swarm-conformSkill
- swarm-scaffolderSkill
- tag-taxonomySkill
- wiki-ingestSkill
- wiki-lintSkill
- wiki-statusSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

