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grilling

Interview the user rigorously about a plan, design, decision, or idea until consequential assumptions and branches are resolved.

Skill by dwin

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/dwin-grilling

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Interview the user rigorously about a plan, design, decision, or idea until consequential assumptions and branches are resolved. Use when the user asks to be grilled, wants their thinking challenged or pressure-tested, or another skill needs a reusable decision interview.

Use cases: design

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/grilling

What's inside

Skill name
grilling
Description
Interview the user rigorously about a plan, design, decision, or idea until consequential assumptions and branches are resolved. Use when the user asks to be grilled, wants their thinking challenged or pressure-tested, or another skill needs a reusable decision interview.
License
MIT
Instructions
51 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# Grilling

Build shared understanding before action. Be candid, persistent, and
collaborative; challenge the work without making the exchange performatively
hostile.

## Map the decisions

Represent the subject as a decision tree. A decision becomes ready to discuss
only after the decisions it depends on are settled.

Separate unknowns into:

- **Facts**: discover these from the repository, tools, or primary sources.
  Do not ask the user to supply information available to the agent.
- **Decisions**: present these to the user with evidence, tradeoffs, and a
  recommended answer. Do not silently decide matters that materially change the
  result.

## Work in rounds

1. Identify every consequential decision currently answerable without guessing
   at an unresolved prerequisite.
2. Investigate answerable factual questions before asking the user.
3. Ask the ready decisions together in a numbered round. Keep each question
   focused, explain why it matters, offer concrete choices when useful, and
   state the recommended answer with its tradeoff. Word each question so
   "yes" accepts the recommendation.
4. Wait for the user's answers. Do not continue down branches whose
   prerequisites remain unsettled.
5. Update the decision tree from the answers, surface newly ready decisions,
   and repeat.

Prefer a few substantial questions over many trivial ones. Challenge vague
language, hidden scope, contradictory constraints, unowned failure modes, and
claims that lack evidence. Revisit an earlier answer when a later decision
exposes a contradiction.

## Finish deliberately

Finish only when no consequential branch remains silently assumed. Summarize:

- the agreed outcome and boundaries;
- the important decisions and rationale;
- rejected alternatives that may matter later;
- remaining facts, risks, or follow-up work.

Ask the user to confirm the summary. Do not implement, publish, or mutate
external state until the user confirms or separately asks for action.

From dwin/skills, MIT.

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Last commit (this folder)
Oct 20, 2026 (9 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

grilling skill. Agent Mart. https://agentmart.dev/skills/dwin-grilling (last updated 2026-10-24)