grilling
Stress-test a plan, decision, or idea through a relentless interview when the user asks to be grilled.
Skill by lstmemery
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/lstmemery-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
- Stress-test a plan, decision, or idea through a relentless interview when the user asks to be grilled.
- License
- MIT
- Instructions
- 49 lines in SKILL.md · view on GitHub
Files (4)
- QUESTION-FORMAT.md
- SKILL.md
- openai.yaml · agents/
- trigger-cases.json · tests/
SKILL.md (first lines)
# Grilling Reach a shared understanding by working a **design tree**: decisions and the decisions that depend on them. Finish when every relevant branch is settled or explicitly excluded, no material decision is silently assumed, and the user confirms the concrete understanding. Existing explicit decisions count; do not ask the user to approve the same choice again. ## Rounds The **frontier** contains all material decisions whose prerequisites are settled. Ask the whole frontier in one round and wait for its answers before asking dependent questions. An answer that depends on another open question belongs to a later round. Recompute after each answer; prune branches the selected scope makes irrelevant. For each question give real alternatives and a recommendation. Put evidence, tradeoffs, and disagreement with the premise in surrounding prose; make the question itself the decision. Avoid asking the user for routine implementation choices already determined by the agreed scope. Use the harness's interactive question facility when available, with one call carrying the whole frontier. Follow its actual schema and limits, concise labels, and recommendation support; never add an Other choice when the UI supplies one. When no interactive facility exists, read [QUESTION-FORMAT.md](QUESTION-FORMAT.md) for the inline format. A bare `A` or `a` means agreement with every recommendation in the current round. Record those decisions and advance without asking for elaboration. Silence is not an answer, approval, or selection of the displayed default. ## Facts and records Find facts yourself. A quick check stays inline; delegate a substantial, independent factual sweep when its value earns the overhead and delegation is available. Give it a bounded question and permitted sources. While it runs, ask unrelated frontier questions; only its dependent decisions wait. Keep a compact record of settled decisions, rejected alternatives with material reasons, unresolved prerequisites, and the next frontier. The user owns design choices; observations and proposals remain distinguishable from those choices. Prepare authorized reversible drafts and supporting documents so the final shared-understanding check has a concrete result to inspect. Before executing a still-unconfirmed design, obtain confirmation of that result; cite the remaining decision rather than adding a generic approval cycle. Confirmation does not grant unrelated publication, installation, or external-action authority.
From lstmemery/skills, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 4, 2026 (25 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/lstmemery/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from lstmemery
- 0.589score
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Research a concrete purchase or current offer.
SkillAFreshness: A★ 1Claude Code +9 - 0.589score
retro
lstmemery
Review a named or current coding and orchestration session for evidence-backed improvements to an agent's environment.
SkillAFreshness: A★ 1Claude Code +9 - 0.589score
orchestrator
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Coordinate delegated coding, research, and everyday tasks across agent harnesses.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
ticket-readiness
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Review a specified ticket before implementation for current applicability, remaining acceptance, material assumptions, and directly related work.
SkillAFreshness: A★ 1Claude Code +9 - 0.586score
setup-matt-pocock-skills
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Configure a repo's issue tracker, triage vocabulary, and domain-document layout for the engineering skills.
SkillAFreshness: A★ 1Claude Code +9 - 0.586score
diagnosing-bugs
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Diagnose bugs, failures, and performance regressions using an observed failure signal and targeted probes.
SkillAFreshness: A★ 1Claude Code +9
Cite this page
grilling skill. Agent Mart. https://agentmart.dev/skills/lstmemery-grilling (last updated 2026-10-24)