grilling
Skill3 starsChanged 4 months agoMITView on GitHub
Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to be grilled about a plan, wants a decision stress-tested, or when requirements are fuzzy before a spec is written.
193 other projects use a version of this, 141 of them edited.
Adopted by
Most recently taken up by
- xiaoxiaosrm/dsh-mattpocock-skillsedited, first seen Nov 8, 2026
- wowyuarm/dsh-agent-teamedited, first seen Nov 8, 2026
- Contexera/dsh-agent-teamedited, first seen Nov 8, 2026
- awslabs/agentic-developer-platformedited, first seen Nov 8, 2026
- microsoft/frontier-agentic-modernization-rvasedited, first seen Nov 8, 2026
- The-Vibe-Company/quivredited, first seen Nov 8, 2026
Used with
Projects with it also use capture-learning-tools, design-frontend-dev and 9 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.
The-Vibe-CompanySkillcapture-learning-tools
Turn technical conversations, bugs, CI failures, review comments,
Also in 5 projects that use this
The-Vibe-CompanySkilldesign-frontend-dev
Clean Impeccable frontend design skill. Use when the user wants to
Also in 5 projects that use this
RoentekSkillloop-me
Grill me about specs for the workflows I want to build, within this workspace.
Also in 58 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
FabienDehopreSkilldecision-mapping
Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time.
Also in 8 projects that use this
AWSSkillwizard
Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.
Also in 136 projects that use this
- +3 more from The-Vibe-Company
Other versions193 projects use a version of this.
Word for word · 0
None found.
Edited · 141
- mattpocock/skills★ 309k72% same
- QuivrHQ/quivr★ 40k23% same
- The-Vibe-Company/quivr★ 40k23% same
- windmill-labs/windmill★ 18k68% same
- formbricks/formbricks★ 13k71% same
- ArcReel/ArcReel★ 6.3k71% same
- pollinations/pollinations★ 5.3k71% same
- withcoral/coral★ 4.9k71% same
- bestofjs/bestofjs★ 3.1k68% same
- The-Vibe-Company/claude-code-controller★ 2.4k23% same
131 more not listed
Wrote their own version · 52
- GreyDGL/PentestGPT★ 16ksame name
- PX4/PX4-Autopilot★ 13ksame name
- vinvcn/mattpocock-skills-zh-CN★ 5.5ksame name
- AUTO-MAS-Project/AUTO-MAS★ 774same name
- devcxl/mattpocock-skills-zh★ 522same name
- Tiberriver256/mcp-server-azure-devops★ 399same name
- ninehills/skills★ 280same name
- heyongjun666/AICU-Graph★ 200same name
- opencrvs/opencrvs-core★ 122same name
- GulajavaMinistudio/awesome-copilot-id★ 92same name
42 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 repository26 other files it gives its agents.
- AGENTS.mdAGENTS.md
- mod/CLAUDE.mdCLAUDE.md
- sync-upstreamSkill
- afkSkill
- codebase-designSkill
- commitSkill
- compound-refreshSkill
- compoundSkill
- deputySkill
- diagnosing-bugsSkill
- handoffSkill
- implementSkill
- improve-codebase-architectureSkill
- prototypeSkill
- questionnaireSkill
- researchSkill
- review-gateSkill
- setup-cantrips-loopSkill
- setup-git-guardrailsSkill
- simplifySkill
- specSkill
- tddSkill
- teachSkill
- ticketsSkill
- wait-whatSkill
- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 70 edited versions we read keep these.
2
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 32
Every message of the interview ends with its questions: newly ready ones in full in the format above, under fresh numbers, then one line …
- Distinctive: line 38
When the user's answers carry a question or remark of their own, answer it before opening the next round.
“Common” is measured: kept by at least 6 in 10 of the 70 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
Interview the user relentlessly until you reach a shared understanding. Map this as a decision tree: every decision branches into the decisions that hang off it.
Work the tree in rounds. The frontier is every decision whose prerequisites are already settled: the questions you can ask now without guessing at answers you haven't heard yet. Ask the whole frontier in one round: number each question and give your recommended answer. Number sequentially across the whole interview rather than restarting each round, so an answer naming Q2 points at one question. Then wait for the user's answers before the next round.
Where this session engaged a deputy through /deputy and has not dismissed it, what is put to the user here goes to the deputy instead, as ROUNDS.md says, and the deputy's reply is printed verbatim under a one-line header before anything acts on it; otherwise it goes to the user as written.
Format a round like so:
❓ **Q1** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices>
➡️ <your recommended answer>
---
❓ **Q2** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices>
➡️ <your recommended answer>Word each question so "yes" accepts your recommended answer.
A presented question is locked: title, body, options and recommendation stay word-for-word as first shown, and only the user's own feedback can reshape or retire it. Presenting is therefore a commitment — put a question to the user only once you are sure nothing still running can change what you'd ask.
Every message of the interview ends with its questions: newly ready ones in full in the format above, under fresh numbers, then one line naming the numbers still open from earlier messages. The lock is what makes that line safe — a number keeps pointing at the exact text first shown, so scrolling to it beats reprinting it. Anything above the questions — findings, replies to the user's remarks — is commentary.
Each round the user answers reshapes the tree: settled decisions push the frontier outward and unblock questions that depended on them. Recompute the frontier and ask the next round. A question whose answer depends on another question still open in this round belongs to a later round, not this one.
When the user's answers carry a question or remark of their own, answer it before opening the next round; never let a new round bury the reply.
Finding facts is your job, never the user's. When a frontier question needs a fact from the environment (filesystem, tools, etc.), dispatch a sub-agent with a fresh context window to find it — in the background (Claude Code: do not use run_in_background: false) — rather than asking the user for anything you could look up yourself. Don't block on it: a running exploration is an unsettled prerequisite — ask the rest of the frontier now, and hold every question the report could reword. A question is downstream of an exploration when its body, options, or recommendation would read differently depending on what comes back — a body that mentions the pending result has declared itself downstream; when in doubt, hold it, since a held question costs one round and a locked question overtaken by facts costs the user's trust in every question still on the table. When an exploration reports, give its findings one short paragraph and fold them into the questions it unblocks; a finding that bears on a locked question goes in that paragraph as commentary for the user to weigh, and the question stands as asked. When the fact lives in external docs or specs rather than the environment, propose /research instead. The decisions are the user's: put each to them and wait.
Closing
The session is done when the frontier is empty: every branch of the decision tree visited, nothing left silently assumed.
Where another skill invoked this interview, hand back to it there — the close belongs to whichever skill owns the flow.
Otherwise close with a single sentence stating that shared understanding is reached — no summary — then recommend the next step as a flow pointer (the message's final paragraph, a blockquote in full italics opening Next: — or Next steps: over one bullet per pointer — each pointer naming its skill the way this skill was itself invoked, same prefix and namespace, and ending in a one-clause rationale after an em dash) — a choice, rendering the step whose condition holds — and wait for the user's go-ahead:
/spec(user-invoked) when the outcome is a feature worth a written contract — in this session, since it synthesizes the interview; implementation then starts fresh./implement(user-invoked) directly when it's a small fix that needs no spec — in this session, which already carries the context./prototypewhen an unresolved question survived the interview and needs empirical evidence — in this session, feeding the verdict back here./researchwhen an unresolved question needs facts from primary sources — it runs in the background while this session continues./questionnaire(user-invoked) when an unresolved question needs facts only another person holds — in this session, drafting the document; the answers come back on the recipient's clock.
Where this session engaged a deputy through /deputy and has not dismissed it, a choice is put to the deputy as ROUNDS.md says and rendered as the one step it chose, any other closing is rendered as written, and each rendered step that names a skill is then taken: one marked (user-invoked) by notifying the user where the harness has a tool for it and waiting for them to type it, any other by invoking it, notifying nobody.
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.

