grilling
Skill7 starsChanged 6 days agoApache-2.0View on GitHub
Grill the user relentlessly about a plan, decision, or idea. Use for ADP intent interviews and delivery-flow planning, or when the user wants to stress-test their thinking or uses any 'grill' trigger phrases.
193 other projects use a version of this, 144 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
- microsoft/frontier-agentic-modernization-rvasedited, first seen Nov 8, 2026
- The-Vibe-Company/quivredited, first seen Nov 8, 2026
- miklschmidt/archboardedited, 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
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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.
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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 · 144
- mattpocock/skills★ 309k97% same
- QuivrHQ/quivr★ 40k30% same
- The-Vibe-Company/quivr★ 40k30% same
- windmill-labs/windmill★ 18k93% same
- formbricks/formbricks★ 13k96% same
- PX4/PX4-Autopilot★ 13k10% same
- ArcReel/ArcReel★ 6.3k96% same
- pollinations/pollinations★ 5.3k96% same
- withcoral/coral★ 4.9k96% same
- bestofjs/bestofjs★ 3.1k93% same
134 more not listed
Wrote their own version · 49
- GreyDGL/PentestGPT★ 16ksame 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
- TencentBlueKing/bk-lite★ 72same name
39 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 repository20 other files it gives its agents.
- AGENTS.mdAGENTS.md
- modules/agent-factory/AGENTS.mdAGENTS.md
- modules/domain-apps/superplane/AGENTS.mdAGENTS.md
- modules/L5-services/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- evidence-skillSkill
- adp-flowSkill
- aidlc-emit-issuesSkill
- codex-bridgeSkill
- stage-1-triageSkill
- stage-2-osintSkill
- stage-3-staticSkill
- stage-4-dynamicSkill
- stage-5-correlationSkill
- stage-6-verdictSkill
- stage-7-reportSkill
- url-analysisSkill
- url-analysisSkill
- skypilotSkill
- superplaneSkill
The file
Files
A caller may pass an initial question set as a frontier seed. Ask those questions as round one, with a recommended answer for each, then continue the normal rounds until the frontier is empty.
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.
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. 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.
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, etc.), dispatch a sub-agent with a fresh context window to find it; don't ask the user for anything you could look up 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 the rest of the frontier now. The decisions are the user's: put each to them and wait.
The session is done when the frontier is empty: every branch of the design tree visited, nothing left silently assumed. Do not act on it until the user confirms you have reached a shared understanding.
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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.

