instance-onboarding
Skill0 starsChanged 3 months agoAGPL-3.0View on GitHub
Interview an organization and stand up its private instance overlay for the AI Control Plane — goals and how success is measured, who it serves, tech stack, org design, house lenses, data posture, brand — then propose the starting fleet: which agents to build first, what capabilities they need, and what knowledge resources to create. Use when setting up a NEW instance ("onboard us", "set up a new instance", "configure the control plane for my company", "what agents should we build first"), when an existing overlay is incomplete or stale, or when someone wants to feed existing documentation (an engineering handbook, an architecture doc, a style guide, an org chart) into the standards so agents actually follow it. Owns `<org>-instance/context/`. Run it before the first real agent task, and re-run the affected section whenever the goals, the stack, or the org change.
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 6 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill 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.
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- AojdevStudio/Finance-Guru★ 329same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- .cursor/rules/standards.mdcCursor rule
- build-mcp-serverSkill
- github-repo-publishSkill
- vet-ideaSkill
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.