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haintbotasthaintbotast/coding-agent-instructions/skills/grilling/SKILL.md

grilling

Skill0 starsChanged 22 days agoMITView on GitHub

Use when a plan, decision, or idea ALREADY EXISTS and needs stress-testing before acting, when alignment on requirements feels shaky, or when opening an ambiguous coding task (one bounded round). If there is no design yet, use brainstorming-design first.

193 other projects use a version of this, 122 of them edited.

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The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 71 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Always give your recommended answer — the user reacts faster to a concrete proposal than a blank prompt.

    line 30
  2. Very specific:

    When the project keeps a domain glossary, run the domain-modeling skill during the session: challenge terms against GLOSSARY.md (or …

    line 40
  3. Distinctive:

    Gate: do not act on it until the user confirms shared understanding — a summary is not agreement.

    line 46

“Common” is measured: kept by at least 6 in 10 of the 71 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Grilling

Interview the user relentlessly about every aspect of the plan, decision, or idea until you reach shared understanding. The most common failure mode is misalignment — you think you understood, then you build the wrong thing. Grilling closes the gap before you act.

The design tree, worked in rounds

Map the subject as a design tree: every decision branches into the decisions hanging off it. 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, then wait for the user's answers before the next round. A question whose answer depends on another question still open in this round belongs to a later round, not this one. Each round of answers reshapes the tree: settled decisions push the frontier outward and unblock what depended on them. Recompute, ask the next round.

Format a round — separate consecutive questions with a --- rule:

❓ **Q1** - **<question title>**: <body, may be several paragraphs, may offer multiple choice>

➡️ <your recommended answer>

---

❓ **Q2** - **<question title>**: <body...>

➡️ <your recommended answer>

Always give your recommended answer — the user reacts faster to a concrete proposal than a blank prompt. Word each question so a plain "yes" accepts your recommendation. Prefer multiple choice when the option space is small.

Finding facts is your job, never the user's. A frontier question needing a fact from the environment (codebase, filesystem, tools) → dispatch a sub-agent to find it. Don't block on it: a running exploration is an unsettled prerequisite, so only the questions downstream of it wait — ask the rest of the frontier now. Decisions belong to the user: put each to them and wait.

Opening a coding task (bounded mode)

Before code on a task that is ambiguous or expensive to redo, run ONE round only: at most 5 questions, each with your recommended answer, and only questions whose answer changes what gets built. Then grill your own plan without the user: write at least 3 ways it could be wrong and the command or check that would catch each. Ask at the start, never mid-way. User away, unattended run, or "just do it all" → take your recommendations, write them down as assumptions, proceed. Full relentless rounds above are for plans and decisions the user explicitly wants stress-tested.

With docs (grill-with-docs mode)

When the project keeps a domain glossary, run the domain-modeling skill during the session: challenge terms against GLOSSARY.md (or CONTEXT.md), sharpen fuzzy language, capture resolved terms and ADR-worthy decisions as they crystallise, not at the end.

When to stop

The session is done when the frontier is empty — every branch of the design tree visited, nothing left silently assumed. Then summarise the agreed design and hand off to the normal pipeline (brainstorming-design → writing-plans), or straight to implementation for small changes.

Gate: do not act on it until the user confirms shared understanding — a summary is not agreement.


Distilled from mattpocock/skills (MIT © Matt Pocock), snapshot 49dd158 (2026-10-12). See SOURCES.md.

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