intake
Skill2 starsChanged 48 days agoNo licenceView on GitHub
Interview a stakeholder in their own language and file their needs as GitHub issues for the product team. Runs on the stakeholder's machine with only the gh CLI — no repository clone, no build tools. Trigger: "/intake", "stakeholder interview", "requirements intake".
34 other projects use a version of this.
Adopted by
Most recently taken up by
- cdfarkas/cdfarkas-skillstheir own version, first seen Nov 8, 2026
- Mathews-Tom/armorytheir own version, first seen Nov 1, 2026
- ghvinashvili/specagenttheir own version, first seen Nov 1, 2026
- bmtrnavsky/disciplined-vibe-codingtheir own version, first seen Nov 1, 2026
- AdityaZxxx/skillstheir own version, first seen Oct 20, 2026
- GopkoDev/motion-flowtheir own version, first seen Oct 20, 2026
Used with
Projects with it also use plan, triage and 7 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
BlockSkillplan
Draft a TDD, PRD, or lightweight plan in the conversation without committing it.
Also in 4 projects that use this
Google CloudSkilltriage
Gather context on a change or bug and plan the implementation.
Also in 4 projects that use this
AWSSkillretro
Conduct a retrospective on a coding session.
Also in 4 projects that use this
Microsoft AzureSkillbuild
Build the TypeSpec Rust emitter from source. Run this after cloning the repo, after pulling changes, or when TypeScript source files have been modified.
Also in 3 projects that use this
VercelSkilldeploy
Deploy applications to Vercel. Use when the user says "deploy", "deploy to Vercel", "push to production", "deploy my app", or "go live".
Also in 3 projects that use this
Microsoft AzureSkillverify
End-to-end app testing pipeline for browser-based web apps on cloud browsers via Azure Playwright Workspaces: verify the live app, author tests for working flows, heal failing tests, then re-run with video and produce one consolidated report. Three phases (app verification, test authoring, test healing) plus a scoped final sanity run; each phase emits a sub-report. Use when asked to "verify my app", "make sure my app works and has good test coverage", "do a full QA pass", "add tests where I'm missing coverage", "fix failing tests and add new ones", "smoke test before deploy", "QA my deployment", or any combined verify-and-test ask. Requires Azure CLI (`az login`) and a Playwright Workspace resource ID — bootstraps configs on first invocation. Browser-based web apps with Playwright only — not for unit/API tests, native mobile/desktop, load/perf, or full accessibility audits.
Also in 4 projects that use this
Other versions34 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 34
- openai/plugins★ 7.8ksame name
- Mathews-Tom/armory★ 340same name
- skillberry-ai/cap-evolve★ 69same name
- Consortium-team/project-creator★ 17same name
- bmtrnavsky/disciplined-vibe-coding★ 15same name
- awslabs/service-onboarding-accelerator-on-aws★ 7same name
- ghvinashvili/specagent★ 7same name
- ndisisnd/msg★ 6same name
- tonydzi/second-brain-starter-kit★ 6same name
- stevehansen/eidet★ 4same name
24 more not listed
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 repository6 other files it gives its agents.
- commSkill
- orchestrateSkill
- pmSkill
- review-gateSkill
- tech-debtSkill
- tlSkill
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 8 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 33 edited versions we read keep these.
8
Distinctive
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 measured: kept by at least 6 in 10 of the 33 edited versions of this file we could read. “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.
Reviews can't be read right now.
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.

