Claude
Skill
grill-me
Imported from paulrberg/agent-skills/skills/grill-me.
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Download
paulrberg-agent-skills-skills_grill-me-913232a.zip · 1 KB
Install
skills CLI
npx skills add https://github.com/PaulRBerg/agent-skills/tree/main/skills/grill-me
Claude Code
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install paulrberg-agent-skills@llmmart
Git
git clone https://github.com/PaulRBerg/agent-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole paulrberg/agent-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Grill Me
This skill is coordination-exempt: skip the ai-coord gate for its declared work.
Stress-test the plan one decision at a time until every material branch is resolved.
Workflow
- Extract the current objective, constraints, assumptions, and already-made decisions. Investigate any answer discoverable from the codebase or supplied evidence instead of asking the user.
- Maintain a running decision record with: decision, chosen option, rationale, dependencies, and consequences. Update it after every answer; do not reopen a recorded decision unless new evidence conflicts with it.
- Ask exactly one question at a time. Format the turn as
### 🔥 Decision <N> — <topic>, thenRecommended,Why,Tradeoff, andQuestion. Choose the highest-leverage unresolved branch whose answer constrains the most downstream decisions. After each answer, acknowledge✅ Recorded: <choice> — <consequence>before the next card. Show settled and currently open counts when useful; never show a percentage because the decision tree can grow. - Continue through scope, users, interfaces, data/state, failure modes, security, operations, migration, testing, rollout, ownership, and stopping criteria only where they are material to this design.
- When no material open branches remain, return
### ✅ Decision recordwith a decision/choice/rationale/consequence table, then### ⚠️ Risks, accepted unknowns with owner/resolution point, rejected alternatives that matter, and### 🏁 Completion criteria. Do not end with another question.
Completion requires every material branch to have a recorded decision or an explicitly accepted unknown with an owner and resolution point.
Files (agent-skills)
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agents
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openai.yaml 42 B
policy: allow_implicit_invocation: true
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SKILL.md 2 KB
--- coordination: exempt name: grill-me description: Interview the user relentlessly about a plan or design until every branch of the decision tree has an explicit recorded decision and no open questions remain. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me". --- # Grill Me This skill is coordination-exempt: skip the ai-coord gate for its declared work. Stress-test the plan one decision at a time until every material branch is resolved. ## Workflow 1. Extract the current objective, constraints, assumptions, and already-made decisions. Investigate any answer discoverable from the codebase or supplied evidence instead of asking the user. 2. Maintain a running decision record with: decision, chosen option, rationale, dependencies, and consequences. Update it after every answer; do not reopen a recorded decision unless new evidence conflicts with it. 3. Ask exactly one question at a time. Format the turn as `### 🔥 Decision <N> — <topic>`, then `Recommended`, `Why`, `Tradeoff`, and `Question`. Choose the highest-leverage unresolved branch whose answer constrains the most downstream decisions. After each answer, acknowledge `✅ Recorded: <choice> — <consequence>` before the next card. Show settled and currently open counts when useful; never show a percentage because the decision tree can grow. 4. Continue through scope, users, interfaces, data/state, failure modes, security, operations, migration, testing, rollout, ownership, and stopping criteria only where they are material to this design. 5. When no material open branches remain, return `### ✅ Decision record` with a decision/choice/rationale/consequence table, then `### ⚠️ Risks`, accepted unknowns with owner/resolution point, rejected alternatives that matter, and `### 🏁 Completion criteria`. Do not end with another question. Completion requires every material branch to have a recorded decision or an explicitly accepted unknown with an owner and resolution point.
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