grill
Skill1 starsChanged 5 days agoMITView on GitHub
Grill the user about a plan, decision, or idea, three questions a round. Use when the user wants their thinking stress-tested, or wants to be questioned before work starts so the requirements get pinned down (grill me、拷问我、追问我、问我几个问题、帮我把方案想清楚、先问清楚再做).
90 other projects use a version of this, 11 of them edited.
Adopted by
Most recently taken up by
- oberemokis/skillstheir own version, first seen Nov 15, 2026
- ychampion/ystacktheir own version, first seen Nov 15, 2026
- Yesterday-AI/ytstacktheir own version, first seen Nov 8, 2026
- therealtinhtute/mono-harnesstheir own version, first seen Nov 8, 2026
- gaoyu06/harnessedited, first seen Nov 8, 2026
- afawfawffaf/my-skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use write-skill, root-cause 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.
NoaiRoxSkillwrite-skill
Use when creating a new skill, editing an existing skill, or verifying a skill works before deployment.
Also in 5 projects that use this
Ingramradical235Skillroot-cause
Structured root cause analysis using WHERE (MECE decomposition) then WHY (causal structure diagrams) pipeline. Includes coin-flip detection, logical-leap detection, and vicious cycle intervention. Use when buffer enters YELLOW/RED, when metrics stall, or when Actions execute but don't produce results.
Also in 4 projects that use this
Neko-Catpital-LabsSkillprove-it
Shared evidence rule for investigating, diagnosing, debugging, proving, or explaining what happened or why for any problem or situation: do not assert something is fixed, working, passing, merged, or running unless you personally observed it this turn and can show what you saw; do not assert it was caused by X until a repro and controlled isolation prove that cause.
Also in 4 projects that use this
sahinSkillexecute
Also in 5 projects that use this
assisjpSkillfile-pr
Prepare and open or update an authorized pull request with a concise problem-first description and verifiable evidence. Use when the user asks to create, file, open, or update a PR. Do not use merely to review a diff or when publication is not authorized.
Also in 3 projects that use this
Arman-KudaibergenovSkillwrite-plan
Этот скилл MUST быть вызван когда есть design.md и нужно разбить доработку на атомарные задачи (2-5 мин) с точными путями файлов и критериями проверки в tasks.md. SHOULD также вызывать как промежуточный шаг между brainstorm и subagent-dev. Do NOT использовать для обсуждения идеи — используй brainstorm; для выполнения задач — используй subagent-dev.
Also in 3 projects that use this
Other versions90 projects use a version of this.
Word for word · 0
None found.
Edited · 11
- helderberto/agent-skills★ 1934% same
- gaoyu06/harness★ 332% same
- snappedly/skills★ 227% same
- yearzen1/LocalSkillManager★ 273% same
- ejarmand/skills★ 112% same
- tejastn10/workbench★ 115% same
- wmy2981/skills★ 140% same
- dimitritholen/1337-claude★ 051% same
- kentomur/claude-skills★ 034% same
- MichaelHolley/cc-plugins★ 019% same
1 more not listed
Wrote their own version · 79
- kirodotdev/KiroCrew★ 4.8ksame name
- crbnos/carbon★ 2.8ksame name
- JuliusBrussee/cavekit★ 1.1ksame name
- SethGammon/Citadel★ 927same name
- nagi-studio/skills★ 470same name
- KerberosClaw/kc_ai_skills★ 79same name
- alamops/skills★ 53same name
- Kanevry/session-orchestrator★ 53same name
- oakreader/oakreader★ 46same name
- manusco/resonance★ 38same name
69 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 repository13 other files it gives its agents.
- architecture-diagramSkill
- arenaSkill
- diagnosing-bugsSkill
- karpathy-guidelinesSkill
- memory-routingSkill
- owner-modeSkill
- retroSkill
- skill-pruningSkill
- universal-model-promptingSkill
- upstream-prSkill
- wait-whatSkill
- windows-shellSkill
- writing-for-agentsSkill
The file
Files
Interview the user relentlessly until you reach a shared understanding. Map this as a design tree: every decision branches into the decisions that hang off it.
Every node is a What or a How. A What is what the user wants and how they will know they got it: the outcome, the proof that will show it is done, the constraints, what is out of scope, the limit on time or cost. A How is the route there: tools, structure, order of steps. Grill the Whats. Settle the Hows yourself from the facts you can find; they surface once, in the closing How sketch, never as questions. A How becomes a question only when it touches the owner's domain (see owner-mode or the Owner's Domain list in global instructions) or cannot be undone.
When the user hands you a How ("use X", "do A, then B"), ask for the What behind it: what is X meant to secure? Keep the How as a constraint when a real reason stands behind it (an outside requirement, a past failure, a preference they hold); otherwise record the outcome and free the route.
Push each What until it is observable: "better", "faster", "clean" becomes a number, a before/after, a check someone else could run. Proof sits on the first round's frontier: when this is done, what will you look at to believe 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 three frontier questions a round (fewer only when the frontier holds fewer), picking the ones whose answers unblock the most downstream decisions; the rest of the frontier waits for a later round. Number each question and give your recommended answer. Then wait for the user's answers before the next round.
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 question the user's reply leaves unanswered takes your recommended answer: close each round with one line saying so.
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.
Finding facts is your job, never the user's. When a frontier question needs a fact from the environment (filesystem, tools, runtime behavior, etc.), dispatch a sub-agent with a fresh context window to find or test it; don't ask the user for anything you could look up or run yourself. Don't block on it: a running exploration is an unsettled prerequisite, so only the questions downstream of it wait for the sub-agent to report; ask other frontier questions now. The Whats are the user's: put each to them and wait.
Inside a project repository, record each answer the moment it settles; recording is part of the session, not acting on the plan. A resolved term goes into the project's glossary (whatever its AGENTS.md or README names, e.g. GLOSSARY.md, 术语表.md), in that file's own format; with no glossary, terms stay in the conversation. A decision that is hard to reverse or surprising without context goes into the project doc that owns that area, as current state plus the reason, rewriting the entry it supersedes. Outside a repository, everything stays in the conversation.
The session is done when the frontier is empty: every What settled, nothing left silently assumed. Close with a brief in two parts. First the Whats: outcome, proof, constraints, out of scope, limit. Then the How sketch: the route you would take, its key choices and where it is risky, one line each, so the user can glance at it and veto any line; a vetoed line becomes a What and goes back on the frontier. Write the brief so the work that follows takes it whole: the Whats as the goal (the client's native goal when it has one, e.g. /goal or a Codex goal), the How sketch as the plan's opening, revised in the open if the route changes. Do not act on it until the user confirms you have reached a shared understanding. That confirmation is also the goal sign-off the global goal rule asks for; do not ask again before starting.
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.

