grilling
Grill the user relentlessly about a plan, decision, or idea.
Skill by georgernstgraf
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/georgernstgraf-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
- 25 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
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> ``` 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. The session is done when the frontier is empty: every branch of the design tree visited, nothing left silently assumed. Do not act on it until the user confirms you have reached a shared understanding.
From georgernstgraf/opencode-helpers, MIT.
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Persist session context into the structured docs/ai knowledge files
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Assess German knowledge-check submissions and prepare reports and email payloads
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Maintain scripts/model-params.json, the curated parameter-count table behind `oc-models-report`'s PARAM column and `--sort params`.
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Grade student project repositories based on Git commits, GitHub Issues, and Pull Requests
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grading-shared
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Shared configuration and protocols for all grading workflows
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domain-modeling
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Build and sharpen a project's domain model.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 4
- Last commit (this folder)
- Aug 21, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from georgernstgraf
- 0.592score
full-sync
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Full sync routine: pull all working repositories, let the agent decide what uncommitted work to commit and what to push, then bring the host up to date — apt…
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
homework
georgernstgraf
Generate per-lesson assignment files (Aufgabe.md) from recent class Git history and teaching material, and keep the canonical assignment list in the cohort…
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
knowledge-exam
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Generate German knowledge-check exams and solution files from the taught material (class Git history + WebUntis Lehrstoff)
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
issue-workflow
georgernstgraf
Continuous issue awareness with proactive issue-linked commit and push; natural-language modes (start, commit, finish) remain as manual overrides
SkillAFreshness: A★ 1Claude Code +9 - 0.581score
knowledge-assessment
georgernstgraf
Assess German knowledge-check submissions and prepare reports and email payloads
SkillAFreshness: A★ 1Claude Code +9 - 0.581score
knowledge-persistence
georgernstgraf
Persist session context into the structured docs/ai knowledge files
SkillAFreshness: A★ 1Claude Code +9
Cite this page
grilling skill. Agent Mart. https://agentmart.dev/skills/georgernstgraf-grilling (last updated 2026-10-24)