본문으로 건너뛰기
cccskills
무료GitHub에 공개

grill-me

Calibrated grilling session for stress-testing a plan, design, idea, or decision. First assesses the user's topic knowledge, confidence, and desired pressure level, then asks one question at a time with recommended answers. Use when user says "grill me", "stress-test this", "challenge my plan", "interview me", or wants a plan probed without being overwhelmed.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md6.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Grill Me

Interview the user until the plan is clear, defensible, and ready for action.

This is not hostile debate. It is calibrated pressure. First find the user's knowledge level and desired intensity, then ramp questions to match.

Core Rules

  • Ask one question at a time.
  • Give a recommended answer for every question.
  • If the answer can be found by reading files, code, docs, issues, or logs, inspect those first instead of asking.
  • Keep track of unresolved decisions, assumptions, risks, and dependencies.
  • Do not over-grill domain basics when the user is still learning the topic. Teach the missing frame briefly, then ask the next useful question.
  • Do not under-grill confident experts. If they know the terrain, pressure-test tradeoffs, edge cases, failure modes, and reversibility.
  • Let the user change intensity any time with "softer", "harder", "teach more", or "skip basics".

Phase 1: Frame The Target

Identify what should be grilled before asking about comfort. If the topic is not clear, ask:

What plan, design, or decision should I grill?

Recommended answer: give me the concrete goal, current approach, constraints, and what decision you need to make.

If context already contains the plan, summarize it in 3-6 bullets and ask for correction:

I think target is: [...]

Recommended answer: "Yes, grill that" or "Adjust: ..."

Phase 2: Calibration

Before grilling the topic, ask a short calibration question unless the user's level is already obvious from context.

Ask:

Before I grill the plan: what is your current comfort with this topic, and how hard do you want the pressure?

Recommended answer: "I know the basics of [topic], but I want standard pressure. Explain missing concepts briefly, then keep pushing."

Use the user's answer to set two dials:

Knowledge Level

  • New - user lacks core vocabulary or model of the domain.
  • Working - user understands basics and can discuss tradeoffs.
  • Expert - user knows domain deeply and wants sharper critique.

Pressure Level

  • Light - clarify goals, constraints, and missing context.
  • Standard - challenge assumptions, tradeoffs, and execution path.
  • Hard - probe failure modes, edge cases, incentives, reversibility, and second-order effects.

If the user does not answer calibration, default to:

  • Knowledge: Working
  • Pressure: Standard

Phase 3: Build The Decision Map

Create a private decision map while asking questions one at a time:

  • Goal - what success means.
  • User or customer - who this affects.
  • Constraints - time, money, stack, team, policy, risk.
  • Options - obvious alternatives and why current option wins.
  • Dependencies - what must be true first.
  • Risks - what breaks, gets expensive, or becomes irreversible.
  • Validation - how user will know it worked.
  • Rollback - how to undo or recover.

Do not dump the full map unless user asks. Use it to choose the next question.

Phase 4: Question Ladder

Move through this ladder. Stop early if the plan becomes clear enough or user asks to stop.

1. Goal Fit

Questions:

  • What outcome matters most?
  • What would make this not worth doing?
  • What problem are we solving, and for whom?

2. Constraint Reality

Questions:

  • What hard constraint cannot move?
  • What resource bottleneck decides the plan?
  • What assumption would kill the plan if false?

3. Option Pressure

Questions:

  • What are the top two alternatives?
  • Why this approach over the boring one?
  • What are you optimizing for: speed, quality, learning, cost, control, or upside?

4. Execution Path

Questions:

  • What is the smallest useful version?
  • What has to happen first?
  • What can be deferred without harming the goal?

5. Failure Modes

Questions:

  • How does this fail in production or real use?
  • What edge case would embarrass the plan?
  • What part is hardest to observe once it breaks?

6. Validation

Questions:

  • What test, metric, screenshot, demo, or user behavior proves this works?
  • What would you check before trusting it?
  • What does done mean in observable terms?

7. Reversibility

Questions:

  • What decision here is hardest to undo?
  • What backup, migration, rollback, or escape hatch exists?
  • What should be logged as an ADR or explicit tradeoff?

Pressure Adaptation

If Knowledge Is New

  • Define one missing concept in 2-4 sentences before asking.
  • Avoid jargon unless you define it.
  • Ask fewer branching questions.
  • Focus on goals, constraints, and first principles.
  • Recommended answers should model good reasoning, not only give answer text.

If Knowledge Is Working

  • Ask normal tradeoff questions.
  • Surface alternatives.
  • Push for validation and smallest useful version.
  • Challenge vague words like "simple", "scalable", "good", "clean", or "fast".

If Knowledge Is Expert

  • Skip basics.
  • Ask sharper counterfactuals.
  • Probe hidden costs, adverse incentives, migration paths, and long-term maintenance.
  • Ask what evidence would change their mind.

If Pressure Is Light

  • Keep questions clarifying.
  • Use supportive framing.
  • Stop after top ambiguities are resolved.

If Pressure Is Standard

  • Challenge assumptions and tradeoffs.
  • Keep moving until implementation path is concrete.

If Pressure Is Hard

  • Be direct.
  • Name weak reasoning.
  • Ask about unpleasant edge cases.
  • Demand observable validation.
  • Still ask one question at a time.

Recommended Answer Format

Every question includes:

Question: ...
Recommended answer: ...
Why it matters: ...

Keep "Why it matters" to one sentence.

When To Stop

Stop grilling when one of these is true:

  • User says stop.
  • Plan has clear goal, constraints, chosen approach, validation, and next step.
  • Missing information can only come from external research or code exploration.
  • User's knowledge gap blocks useful grilling; switch to brief teaching and propose next learning question.

End with:

  • Final decision or current best plan.
  • Remaining open questions.
  • Next concrete action.
  • Risks to watch.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

caveman

무료

Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

JuliusBrussee/skills1682026년 8월 7일 업데이트

Install a per-turn canary signal (e.g. starting every reply with the user's name and a turn counter) so silent context degradation becomes visible the moment it happens, and run a recovery protocol when the canary trips. Use when the user mentions a "canary", "context canary", or "canary check", asks to detect context rot / compaction / drift, says "you stopped using my name" or "did you lose context", asks "how degraded is your context", or wants an early-warning system for long agent sessions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

JuliusBrussee/skills1682026년 8월 7일 업데이트

deslopify

무료

De-slop pass for any text. Scans for the statistical fingerprints of AI writing (negative parallelism / "not X but Y", em-dash density, rule-of-three, false ranges, puffery vocabulary, uniform cadence, hedged both-sidesing), rewrites by meaning, then re-scans until the text is clean and sits in the right register for its genre: academic article, tweet, reddit post, email, blog, docs, marketing. Use when the user says "deslopify", "deslop", "de-slop this", "remove the AI tells", "humanize this", "make this not sound like AI", or invokes /deslopify. Also use before publishing any agent-drafted prose.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

JuliusBrussee/skills1682026년 8월 7일 업데이트

Authoritative guide for implementing stunning, accessible, performant UI. Synthesizes design engineering philosophy, accessibility standards, animation principles, spatial design, typography, color systems, and component craft into a single actionable reference. Complements the design-system skill (which covers DESIGN.md spec writing) by covering the HOW of implementation. Trigger phrases: "build UI", "create component", "landing page", "make it look good", "frontend", "design", "polish UI", "implement design", "make it beautiful", "UI implementation", "component styling", "animation", "accessibility"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

JuliusBrussee/skills1682026년 8월 7일 업데이트

Adversarial senior-engineer review for agent-generated plans, designs, and architectures. Treats the current output as junior work, constructs a senior reviewer whose domain expertise comes from live codebase research plus web research of current best practices, diagnoses altitude failures (too vague or too granular), then rewrites the plan into a scoped, state-of-the-art version. Use when the user says "junior to senior", "senior review", "review this like a staff engineer", when a plan feels hand-wavy or lost in details, or before committing to any agent-written plan.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

JuliusBrussee/skills1682026년 8월 7일 업데이트

Finds and finishes the last 20% of a built solution — the experiential layer agents skip: what the output actually reads like, which pages or screens should exist, first-run and empty states, opinionated defaults, the golden path. Use when planning any build so the magic gets specced as concretely as the plumbing, before calling any build "done", when a solution works but feels like a demo, or when the user says "last 20%", "finish this", "make it actually good", "is this actually done", or "why does this feel flat".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

JuliusBrussee/skills1682026년 8월 7일 업데이트

JuliusBrussee의 스킬 모두 보기

이 스킬의 문제 신고