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Mk grill

Skill ngocsangyem/MeowKit/packages/mewkit/src/migrate/modules/cursor/root/.cursor/skills/mk-grill

Relentlessly interview the user about THEIR plan, one question at a time, until shared understanding. Checkpoints answers so progress survives a reset. Do NOT use to propose solutions.From its SKILL.md

Install
npx -y skills add ngocsangyem/MeowKit --skill mk-grill

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

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Grill

You are the interviewer. The user owns a plan or design; your job is to relentlessly extract and resolve every unresolved branch in it — one question at a time — until you both share the same understanding. You never propose the solution; you interrogate the user's.

Differentiator: brainstorming = Codex proposes options; grill = Codex interrogates the user's existing plan. office-hours = "should we build this?"; grill = "is this plan fully resolved?".

When to Use

  • User says "grill me", "stress-test this plan", "get grilled on my design", or "interrogate my plan / design".
  • A plan or design exists (as a doc OR as a verbal idea) and the user wants every assumption, ambiguity, and unresolved choice surfaced and answered.
  • Before handing a half-formed idea to mk:skill-creator or mk:plan-creator — grill front-loads the tacit context so the build starts ~90% resolved, not 70%.

When NOT to Use

SituationUse instead
Propose / compare technical approachesmk:brainstorming
"Is this worth building?" — product validationmk:office-hours
Codex should ANSWER questions about the repomk:ask-me
One-shot review of an existing planmk:plan-ceo-review
Apply named reasoning lenses to existing findingsmk:elicit
Constitution derived from the CODEBASE (not the human)mk:project-context

Plan-First Gate

Grill produces a knowledge doc — it is a pre-planning elicitation step, the same class as mk:office-hours and mk:brainstorming. Always skips Gate 1. It writes ONLY docs/knowledge/<slug>.md; it never writes code or implementation files.

Entry — resolve the input

Accept either entry mode:

  1. Doc path (a plan / design / spec file): Read it. Seed the decision tree from its open branches — unresolved choices, stated-but-unjustified decisions, TODOs, "TBD"s, vague nouns, and any assumption presented as fact. Read-only: never edit the source doc (see Read-Only Constraint).
  2. Verbal idea / topic: seed an empty tree and build it through questioning.

Then:

  • Compute <slug> — a short kebab-case name for the plan/design (e.g. payment-retry-flow). For path routing of the output file, follow mk:project-organization (advisory mode): the canonical location is docs/knowledge/<slug>.md.
  • Create docs/knowledge/<slug>.md from the Output Doc Template below (via Write). If it already exists, Read it and resume — append to the existing Q&A Log and tree rather than overwriting.

Core Loop (the signature mechanic)

Run this loop. Exactly ONE question per turn — never batch. This is prose interrogation, deliberately NOT stop and ask the user in chat multi-question batching. One sharp question, wait, absorb, checkpoint, repeat.

  1. Pick the single highest-leverage unresolved branch — the one whose answer unblocks or reframes the most downstream decisions.
  2. Ask exactly one question about it. Be specific and concrete; quote the user's own words / the doc when challenging an assumption. No preamble, no multi-part questions, no menus.
  3. Wait for the user's answer.
  4. Absorb — restate the answer in one line to confirm you understood it.
  5. Checkpoint immediately (see Checkpoint Protocol) — write before asking the next question, so a context reset never loses the answer.
  6. Re-evaluate the tree — the answer may close branches, open new ones, or expose a contradiction with an earlier answer. Surface contradictions immediately ("earlier you said X; this implies not-X — which holds?").
  7. Repeat from step 1 until Termination conditions are met. Five questions or an hour are both valid lengths — depth, not count, is the target.

Question quality

Good grill questions:

  • Target the binding constraint, the unstated assumption, or the fork the user has not actually decided ("you wrote 'cache it' — invalidated how, and when?").
  • Force a concrete answer: inputs→outputs, an edge case, a number, a who/when.
  • Probe the seam between two decisions that may conflict.

Bad grill questions (avoid):

  • Proposing the answer ("should we use Redis or Memcached?" — that's brainstorming).
  • Asking for something already stated in the doc or a prior answer.
  • Vague ("any other thoughts?") or compound ("what about auth, and also caching?").

Checkpoint Protocol

After EVERY answer, Write/Edit docs/knowledge/<slug>.md:

  • Append the verbatim Q&A pair to the Q&A Log.
  • Update Decisions — move any newly-resolved branch here with its chosen answer + one-line rationale.
  • Update Highlights — capture any sharp insight worth re-reading.
  • Update Open Branches — add branches opened by this answer, remove resolved ones.
  • Update Open Gaps — if this answer was a can't-answer / thin answer, record it (see Gap Flagging).

The checkpoint-after-every-answer is the core safeguard: the doc is a valid, useful artifact at any point, even if the session is cut off mid-grill.

Gap Flagging

When the user cannot answer, answers thinly, or says "I don't own that" — do NOT paper over it. Record it under Open Gaps with:

  • The unresolved question.
  • Why it's unresolved (not owned / not yet decided / needs data).
  • Who to ask — the person or source that can close it.

Tell the user plainly: "You don't own this one — go ask whoever runs it, then drop the detail back into the knowledge doc." A flagged gap is a valid outcome, not a failure.

Termination (hybrid — never silent, never infinite)

At each checkpoint, surface a readiness signal: list the remaining Open Branches and your judgment of whether high-leverage questions are exhausted.

When the branches look drained (only low-leverage or gap-blocked items remain), propose wrap-up — summarize what's resolved and what remains, then ask the user to confirm "done" or "keep going". Never auto-terminate silently; never loop forever. The user always holds the stop button.

On confirmed wrap-up, present the three handoffs:

  1. mk:skill-creator — if the resolved design is a skill to build. Context is front-loaded, so the build starts ~90% resolved.
  2. mk:plan-creator (or mk:brainstorming if approaches are still open) — if it's a feature/system to plan or still needs solution exploration.
  3. mk:project-context — to merge the extracted human knowledge into the project constitution.

Offer all three; let the user pick. Grill itself does NOT auto-invoke the downstream skill or generate its output — it only hands off.

Read-Only Constraint

When grilling an existing plan/design doc, grill never mutates that source file. docs/knowledge/<slug>.md is the only output. Corrections, decisions, and new detail flow through the chosen handoff (e.g. mk:plan-creator updates the plan) — not through grill editing the original.

Output Doc Template

docs/knowledge/<slug>.md:

# Knowledge: <Plan/Design Title>

**Source:** <doc path | "verbal idea">
**Started:** <date>  ·  **Status:** in-progress | wrapped

## Decisions
<!-- resolved branches: chosen answer + one-line rationale -->
- **<branch>:** <answer> — <why>

## Q&A Log
<!-- verbatim transcript; the checkpoint. Append after every answer. -->
1. **Q:** <question>
   **A:** <answer>

## Highlights
<!-- sharp insights worth re-reading -->
- <insight>

## Open Branches
<!-- unresolved choices/assumptions still to grill -->
- <branch>

## Open Gaps
<!-- can't-answer items + who to ask -->
- **<question>** — <why unresolved> → ask: <who/source>

Gotchas

  • Batching questions — the whole point is ONE question per turn. If you feel the urge to ask two, you have two turns, not one. Never reach for stop and ask the user in chat (it isn't in allowed-tools for exactly this reason).
  • Proposing instead of interrogating — the moment you suggest the answer, you've drifted into mk:brainstorming. Ask about the user's choice; don't make it.
  • Skipping the checkpoint — "I'll write it all at the end" loses everything on a context reset. Write after every single answer; that's the survival mechanic.
  • Papering over a gap — a confident-sounding guess on something the user doesn't own is worse than a flagged Open Gap. Flag it and name who to ask.
  • Grilling forever — without the hybrid wrap-up you fatigue the user. Surface the readiness signal each checkpoint and propose wrap-up when branches drain.
  • Editing the source doc — grill is read-only on the plan/design; the only file it writes is docs/knowledge/<slug>.md.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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