grilling
Skill1 starsChanged 9 days agoMITView on GitHub
Interview the Owner relentlessly about a plan, design, or decision before anything is built — a design tree worked in numbered rounds, every question carrying a recommended answer, ending in a decision record. Use when the Owner says "grill me", asks to stress-test or think through a plan, when a request carries several open decisions, or when another skill calls for a grilling pass (planner Phase 2, bdd's Discover step).
193 other projects use a version of this, 115 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/quivrtheir own version, first seen Nov 8, 2026
Used with
Projects with it also use capture-learning-tools, design-frontend-dev 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.
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 · 115
- mattpocock/skills★ 309k28% same
- windmill-labs/windmill★ 18k29% same
- formbricks/formbricks★ 13k28% same
- ArcReel/ArcReel★ 6.3k28% same
- pollinations/pollinations★ 5.3k28% same
- withcoral/coral★ 4.9k28% same
- bestofjs/bestofjs★ 3.1k29% same
- moeru-ai/xsai★ 66729% same
- mxyhi/ok-skills★ 51128% same
- aws/graph-explorer★ 49029% same
105 more not listed
Wrote their own version · 78
- QuivrHQ/quivr★ 40ksame name
- The-Vibe-Company/quivr★ 40ksame name
- GreyDGL/PentestGPT★ 16ksame name
- PX4/PX4-Autopilot★ 13ksame name
- vinvcn/mattpocock-skills-zh-CN★ 5.5ksame name
- The-Vibe-Company/claude-code-controller★ 2.4ksame name
- The-Vibe-Company/companion★ 2.4ksame name
- AUTO-MAS-Project/AUTO-MAS★ 774same name
- stevesolun/ctx★ 583same name
- devcxl/mattpocock-skills-zh★ 522same name
68 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 repository19 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- bddSkill
- characterizeSkill
- comment-passSkill
- doc-gateSkill
- domain-modelingSkill
- explainerSkill
- leadSkill
- load-bearing-testsSkill
- one-offSkill
- plannerSkill
- review-overlaySkill
- robowright-onboardSkill
- robowrightSkill
- smoke-testSkill
- spend-debugSkill
- workerSkill
- work-plannerSkill
- 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 71 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 66
When they turn down a recommendation, keep their reason in their words: it becomes the record's
- Distinctive: line 72
Write the decision record and show it to them:
“Common” is measured: kept by at least 6 in 10 of the 71 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
Grilling
Adapted from Matt Pocock's grilling skill (MIT, https://github.com/mattpocock/skills).
Interview the Owner relentlessly until you reach a shared understanding. Map the plan as a design tree: every decision branches into the decisions that hang off it.
Rounds
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 frontier in one round, numbered, each with your recommended answer, then wait. A question whose answer depends on another question still open in this round belongs to a later round.
A frontier wider than six asks the six that unblock the most and carries the rest forward.
**Q1 — <title>** *(one-way door, when it is one)*
<the question. Where it is genuinely open: 2–3 options, each with what it costs.>
**Rec:** <your answer> — <the reason in one line; a fact gets its `file:line` or doc link>
**Q2 — …**
**Assumed** — reversible calls I made myself; object to any:
- <the call> — <why>Each round's answers reshape the tree: settled decisions push the frontier outward and unblock what depended on them. Recompute the frontier and ask the next round.
What earns a question
A decision earns a question when it clears the decision-reporting threshold: it constrains the
future, trades one real thing for another, reaches outside the files in play, or a competent
engineer could go the other way. Everything below that line you decide yourself and list under
Assumed, so a round stays short enough to answer by voice.
Two kinds always earn one. A one-way door — persisted shapes, public API and protocol
surfaces, new dependencies, migrations, anything shipped or built on — carries the tag. And
structural or unrelated? (sizing-the-move rules 1 and 2), whenever that call is open.
Facts are yours, decisions are theirs
Finding facts is your job. When a frontier question needs one — what the code does, how an API behaves, what a library supports — dispatch a sub-agent for the codebase, research online for anything beyond it, and cite what comes back with its certainty level. A running exploration is an unsettled prerequisite: the questions downstream of it wait for the report, and the rest of the frontier goes out now. The decisions are the Owner's: put each one to them and wait.
Be opinionated. When an answer looks like a mistake, say so once, with the reason, in the next round; after that it is their call.
Reading their answers
The Owner may dictate. One reply covers several questions, out of order, with approximate names. Match each part to its question by content and resolve garbled symbols from the codebase.
- "take your recs" settles every question they did not address that round at its recommendation. Without it, an unaddressed question stays on the frontier.
- An answer that contradicts an earlier one, or the code, opens the next round as Q1.
- When they turn down a recommendation, keep their reason in their words: it becomes the record's Rejected entry.
Done
The session is done when the frontier is empty: every branch visited, nothing silently assumed. Write the decision record and show it to them:
- Decisions — chose X over Y because
<reason>. Costs:<what was given up>. - Rejected — the approach, who killed it, the reason in their framing.
- Assumed — every call you made for them, all rounds.
- Parked — ruled unrelated to this effort, and where it was recorded.
- Still open — blocked on a fact or a person, with what unblocks it.
Append it to the log decision-reporting names, under ## YYYY-MM-DD — grilling: <topic>.
Standalone, building starts once the Owner confirms the record.
Called by another skill
The caller may set two things, and its word wins: what earns a question (bdd asks every
Question in its pile) and where the record lands (bdd: the behavior table's source column;
planner: <project>/DECISIONS.md). Rounds, recommendations, and reading their answers stay as
above. When the frontier is empty, hand back to the caller's next step.
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.

