exec-requests
Skill0 starsChanged 4 months agoNo licenceView on GitHub
Handle "vibe-coded" requests from a senior non-engineering executive — one who ships AI-generated PRs without review, skips issues, and sends requests that sound precise but rest on unvalidated mental models. Verify every claim they make instead of trusting it, research the full system context, steelman what they're actually trying to achieve, execute with documented safety adjustments, reply in their outcome language, and maintain the affected repo's EXEC-CONTEXT.md. Trigger whenever the user relays a leadership request ("the CRO asked", "our VP wants this deployed", pastes a Slack message from an exec), mentions a PR authored by a known vibe-coding leader, or asks to deploy/merge/backfill/run something an executive requested. Trigger even when the request looks trivially simple ("they just need a quick deploy") — those are the highest-risk cases. Do NOT trigger for exec-authored PRs going through normal review with full, verified context supplied.
In this repository8 other files it gives its agents.
- dev-sparkSkill
- evidence-first-troubleshootingSkill
- humanizerSkill
- nntSkill
- session-reflectSkill
- sigma-computingSkill
- spec-kitSkill
- web-perfSkill
The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 7 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — 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 350,495 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.
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.