grilling
Skill4 starsChanged 11 days agoMITView on GitHub
Explore and stress-test plans, decisions, ideas, brainstorming approaches, and UI layouts when a material choice remains open.
193 other projects use a version of this.
Adopted by
Most recently taken up by
- xiaoxiaosrm/dsh-mattpocock-skillstheir own version, first seen Nov 8, 2026
- wowyuarm/dsh-agent-teamtheir own version, first seen Nov 8, 2026
- Contexera/dsh-agent-teamtheir own version, first seen Nov 8, 2026
- awslabs/agentic-developer-platformtheir own version, first seen Nov 8, 2026
- microsoft/frontier-agentic-modernization-rvastheir own version, 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 6 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
- +3 more from The-Vibe-Company
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★ 309ksame name
- QuivrHQ/quivr★ 40ksame name
- The-Vibe-Company/quivr★ 40ksame name
- windmill-labs/windmill★ 18ksame name
- GreyDGL/PentestGPT★ 16ksame name
- formbricks/formbricks★ 13ksame name
- PX4/PX4-Autopilot★ 13ksame name
- ArcReel/ArcReel★ 6.3ksame name
- vinvcn/mattpocock-skills-zh-CN★ 5.5ksame name
- pollinations/pollinations★ 5.3ksame 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 repository117 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- accessibilitySkill
- agent-watchdogSkill
- aipSkill
- animateSkill
- animation-performanceSkill
- animation-vocabularySkill
- ask-benSkill
- ask-sonnerSkill
- bazelSkill
- bend-lawsSkill
- blast-radiusSkill
- brain-dumpSkill
- break-uiSkill
- ci-fixesSkill
- codebase-designSkill
- codex-compatSkill
- codexSkill
- commit-push-prSkill
- connect-querySkill
- create-verification-skillSkill
- demoSkill
- development-lifecycleSkill
- diagnosing-bugsSkill
- docsSkill
- dogfoodSkill
- domain-modelingSkill
- e2e-testingSkill
- effect-tsSkill
- effect-v3-to-v4Skill
- efficient-frontierSkill
- eli5Skill
- excalidraw-diagramSkill
- extend-harnessSkill
- frontend-invariantsSkill
- frontend-starter-kitSkill
- full-sendSkill
- gesturesSkill
- golang-reviewSkill
- golangSkill
- goSkill
- handoffSkill
- hook-auditSkill
- implement-specSkill
- improve-animationsSkill
- improve-codebase-architectureSkill
- improveSkill
- launchdarklySkill
- lie-detectorSkill
- maintain-verification-skillSkill
- make-pr-easy-to-reviewSkill
- mobile-nativeSkill
- plan-arbiterSkill
- plow-aheadSkill
- postgresqlSkill
- primeSkill
- productSkill
- protobufSkill
- prototypeSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 70 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 44
Ask so yes accepts the recommendation.
- Very specific: line 62
Specialist registry: Call the Skill tool separately with "product" for value and "golang" for planned Go or go.mod work.
- Very specific: line 66
Call the Skill tool with "domain-modeling" for GLOSSARY.md terms.
“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
Forks: read Poteto.
Resolve unknowns; no production code or implementation while a material user-reserved decision is open. Invocation grants no delegation.
Plans/RFCs/replies: read communication. Load skills per dependency loading.
1. Build evidence
Ground request, plan and decisions in repo/tests/docs. Ask only for user-owned preferences, scope, risk appetite or decisions evidence cannot settle. Name the blind spot. Prototype when behavior beats prose.
/brain-dump is optional: retain every opportunity track and its Answer ledger. Never re-ask Settled; challenge Tentative only for material downside; ask Unknown only if it could invalidate/prioritize a track.
2. Explore mode
Interface/ownership fork: load "codebase-design"; sketch caller use.
Without direction, compare 2-3 approaches with trade-offs, reversibility, evidence and a recommendation. For competing plans, Call the Skill tool with "plan-arbiter". Challenge variant: with direction, steelman the best alternative and its disproof.
For customer-facing UI, show an ASCII wireframe before questions: each materially different layout in fenced text, with real labels, controls, grouping, order, and fixed/scroll regions. Align borders; show structure, not pixels. Desktop/mobile only when composition differs; shared layouts use one sketch plus deltas.
Map the decision tree's answerable frontier. Ask the whole frontier in one numbered round using this Question format:
**Q1 -- <question title>**
<question or choices>
**Recommended:** <answer>
---
**Q2 -- <question title>**
<question or choices>A confident, reversible Recommended: answer is an assumption, not a question: state it in one line and continue. Ask only what evidence cannot settle and the user owns.
Stop signal: "no more questions", "just do it", "don't ask", or a bare endpoint ("draft PR") ends asking for the rest of the session. Adopt every open recommendation, list them as assumptions, and continue to the endpoint; pause only for an irreversible or user-reserved decision.
Ask so yes accepts the recommendation.
An unsettled prerequisite delays only its branch. Recompute the frontier each round. Keep fact-finding inline; explicit delegation uses fresh contexts and self-contained briefs. Use environment/filesystem/tools. User decisions stay theirs.
3. Exit
Resolve or reserve architecture-changing choices. Classify the rest as lookup -> prototype -> reversible assumption -> pause trigger. Exit when nothing unresolved can silently invalidate the next slice.
4. Plan gate
Build one Evidence packet: request, plan, spec/standards sources, paths, repo facts, assumptions, unresolved decisions.
- Quick: under three tasks, no material architecture/product/UX choice; check spec, standards, value inline.
- Standard: product/spec, engineering/standards, and design/UX reviewer hats inline.
- Deep-risk: Standard plus separate Skill tool calls for "resilience-review" and "steelman" for a credible high-impact or hard-to-reverse assumption.
Axes: Spec -> plan-product-hat; Standards -> plan-engineering-hat; design/UX -> plan-design-hat; plus adversarial/value. Deep-risk triggers: auth, migration, public API, destructive action, concurrency, Temporal, cross-service work, and one-way doors.
Specialist registry: Call the Skill tool separately with "product" for value and "golang" for planned Go or go.mod work; add specialists after repeated misses. Axes report APPROVED, NEEDS_CHANGES, BLOCKED, or SKIPPED with evidence/skip reason. Dedupe root causes; research facts; stop on blocking user decisions.
Confirm only for a requested plan/grill endpoint. [ETHOS: Discover Before Commitment]
Call the Skill tool with "domain-modeling" for GLOSSARY.md terms; ADR only for hard-to-reverse, surprising trade-offs.
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.

