grill-me
Skill3 starsChanged 2 months agoMITView on GitHub
Interview the user about a plan, idea, or design before any code is written. Use when the user says "grill me", "interview me", "stress-test this plan", or shares a rough idea and wants it pressure-tested. Do not use for questions that have a factual answer.
193 other projects use a version of this.
Adopted by
Most recently taken up by
- niki914/zafirotheir own version, first seen Nov 15, 2026
- quickchatai/quickreviewtheir own version, first seen Nov 15, 2026
- HiteSit/real-scientist-skillstheir own version, first seen Nov 15, 2026
- alexj11324/Mikkatheir own version, first seen Nov 15, 2026
- QiYueran-source/waymarktheir own version, first seen Nov 15, 2026
- willdady/platypustheir own version, first seen Nov 15, 2026
Used with
Projects with it also use brief-to-tasks, writing-beats and 10 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.
julianoczkowskiSkillbrief-to-tasks
Break a design brief into an ordered checklist of independently buildable tasks using vertical slices. Saves as a markdown checklist. Use when user wants to break down work, create tasks from a brief, plan implementation order, or mentions "tasks" or "breakdown".
Also in 7 projects that use this
LesaniSkillwriting-beats
Shape an article as a journey of beats, choose-your-own-adventure style. The user picks a starting beat from the raw material, you write only that beat, then offer options for where to pivot next, beat by beat, until the article reaches a natural end. Use when the user has raw material and wants to assemble it as a narrative rather than an argument.
Also in 66 projects that use this
simo97Skillrequest-refactor-plan
Use this skill when user wants to create a refactor plan.
Also in 43 projects that use this
simo97Skillmigrate-to-shoehorn
Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
Also in 71 projects that use this
LesaniSkillwriting-shape
Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format (lists, tables, callouts, quotes) at each step. Use when the user has a pile of notes, fragments, or a rough draft and wants help turning it into something publishable.
Also in 65 projects that use this
liufeng1976Skillsetup-ts-deep-modules
Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.
Also in 42 projects that use this
- +2 more from simo97
Other versions193 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 193
- mattpocock/skills★ 325ksame name
- QuivrHQ/quivr★ 40ksame name
- The-Vibe-Company/quivr★ 40ksame name
- langfuse/langfuse★ 37ksame name
- nrwl/nx★ 29ksame name
- windmill-labs/windmill★ 19ksame name
- GreyDGL/PentestGPT★ 16ksame name
- humanlayer/humanlayer★ 13ksame name
- jaredpalmer/kev★ 9.8ksame name
- openstatusHQ/openstatus★ 9.3ksame name
183 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 repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- sessions/session-m2-01-copilot-cli/lab/solution/agent-tasks/.github/copilot-instructions.mdCopilot instructions
- sessions/session-m2-03-spaces-and-context/lab/solution/.github/copilot-instructions.mdCopilot instructions
- sessions/session-m3-02-cloud-agent/lab/starter/copilot-instructions.mdCopilot instructions
- sessions/session-m4-02-iac-with-copilot/lab/solution/.github/copilot-instructions.mdCopilot instructions
- sessions/session-m4-02-iac-with-copilot/lab/starter/.github/copilot-instructions.mdCopilot instructions
- sessions/session-m5-03-hve-core-challenge/lab/solution/decision-api/.github/copilot-instructions.mdCopilot instructions
- baoyu-infographicSkill
- diagram-creatorSkill
- docxSkill
- excalidraw-diagramSkill
- humanize-contentSkill
- impeccableSkill
- pdfSkill
- pptxSkill
- rvap-brandSkill
- skill-creatorSkill
- xlsxSkill
- impeccableSkill
- session-format-validatorSkill
- release-notesSkill
- decision-interviewSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 177 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Read any file the user points to.
- Distinctive: line 13
Ask one question at a time.
- Distinctive: line 15
Follow the answer. If it opens a new gap, go there before moving on.
- Distinctive: line 21
Stop when you could hand the plan to a colleague and they would not need to ask you anything.
- Distinctive: line 27
Ask the user to correct the summary before you finish.
“Common” is measured: kept by at least 6 in 10 of the 177 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.
Files
Grill me
Interview the user until the plan is clear enough to build. Don't write code or a plan until the interview is done.
How to interview
- Read any file the user points to. Never ask what the file already answers.
- Ask one question at a time. Wait for the answer.
- For each question, give your recommended answer so the user can reply "yes" or correct you.
- Follow the answer. If it opens a new gap, go there before moving on.
- Cover these areas, skipping what's already settled: goal and audience, scope and non-goals, owner, data and inputs, failure cases, how to tell it worked.
- Push back once on vague answers ("soon", "everyone", "somehow"). Ask for a concrete example.
When to stop
Stop when you could hand the plan to a colleague and they would not need to ask you anything. Then write a summary with:
- Decisions made, one line each
- Open questions that remain, with an owner if known
- Next step
Ask the user to correct the summary before you finish.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.

