grilling
Grill the user relentlessly about a plan, decision, or idea.
Skill by schneidenbach
Chalk Labs
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Install
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/schneidenbach-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
Use cases: testing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
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
- Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
- License
- MIT
- Instructions
- 29 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
Interview the user relentlessly until you reach a shared understanding. Map this as a **design tree**: every decision branches into the decisions that hang off it. Work the tree in **rounds**. 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: number each question and give your recommended answer. Then wait for the user's answers before the next round. Format a round like so: ``` ❓ **Q1** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices> ➡️ <your recommended answer> --- ❓ **Q2** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices> ➡️ <your recommended answer> ``` When a question involves a workflow, branching decision, state transition, timeline, or set of interacting components, include a concise Mermaid diagram that makes the question easier to reason about. Place it with the question it clarifies. Use diagrams only when they materially improve understanding; they do not replace the numbered question, choices, or recommended answer. Each round the user answers reshapes the tree: settled decisions push the frontier outward and unblock questions that depended on them. Recompute the frontier and ask the next round. A question whose answer depends on another question still open in this round belongs to a _later_ round, not this one. Finding _facts_ is your job, never the user's. When a frontier question needs a fact from the environment (filesystem, tools, etc.), dispatch a sub-agent to find it; don't ask the user for anything you could look up yourself. Don't block on it: a running exploration is an unsettled prerequisite, so only the questions downstream of it wait for the sub-agent to report; ask the rest of the frontier now. The _decisions_ are the user's: put each to them and wait. When the frontier is empty, present the shared understanding and ask the user to confirm or correct it. Use Mermaid diagrams to communicate any workflows, relationships, branches, or state changes in this final summary. Keep simple ideas in prose rather than forcing them into a diagram. The session is done only after the user confirms the shared understanding: every branch of the design tree visited, nothing left silently assumed. Do not act on it before that confirmation.
From schneidenbach/skills, MIT.
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- 0.635score
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Signals
- Stars
- 20
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Sep 3, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/schneidenbach/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.635score
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Open the revu review window for this session's code changes across every repo or worktree it touched, wait for the user to submit a PR-style review, then…
SkillAFreshness: A★ 20Claude Code +9 - 0.609score
claude-code-review
schneidenbach
Review code changes for bugs, security issues, and code quality using Claude Code CLI as an external adversarial reviewer.
SkillBFreshness: B★ 20Claude Code +9 - 0.609score
spencer-approved-frontends
schneidenbach
Spencer's house style for UIs.
SkillBFreshness: B★ 20Claude Code +9 - 0.609score
codex-code-review
schneidenbach
Review code changes for bugs, security issues, and code quality using OpenAI Codex CLI as an external adversarial reviewer.
SkillBFreshness: B★ 20Claude Code +9 - 0.595score
relentless-quality-assurance
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A relentless quality assurance session.
SkillBFreshness: B★ 20Claude Code +9 - 0.593score
relentless-quality-assurance-and-fixes
schneidenbach
A relentless quality assurance session where we also fix the bugs we find.
SkillBFreshness: B★ 20Claude Code +9
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
grilling skill. Agent Mart. https://agentmart.dev/skills/schneidenbach-grilling (last updated 2026-10-24)