Individual skill
grill
Run an explicitly requested decision interview and record each settled decision in durable project documentation.
Meta/muse-code/skills/grill/SKILL.md
Source commit a2d33761e49b98f6ec1b48f12143264eb9b4ff4f
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 71,245
- Repository last updated
- Nov 10, 2026
- License
- CC0-1.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# Grill
Use this skill only when the user explicitly asks for grilling plus durable documentation or directly invokes this skill; the `agents` coordinator handing it an unclear goal, or one decision needing the user's confirmation, before its plan is a direct invocation (its question is the user's judgement — target, measure, scope — that repository facts shape but never answer), and there the durable record is the project's own `PROJECT.md` or `library/` file, never a repository doc. Complexity, ambiguity, or a possible need for docs alone never activates it. This skill carries its own interview and documentation contract. Do not load or invoke `domain-modeling` at runtime.
## Interview Contract
1. Research discoverable facts in the repository, issue, docs, and code before asking the user. Ask only for judgments or facts that cannot be discovered.
2. Ask one decision-forcing question at a time. State the recommended answer and the reason briefly, then wait for the answer.
3. Ask every interview question in plain text as an ordinary assistant response. Do not use a question tool.
- When a bounded decision benefits from 2-3 short, mutually exclusive choices, list them in plain text with the recommended answer first.
- Invite the user to choose, modify, or discuss the choices instead of forcing a structured selection.
4. Use comparison tables only when the user explicitly requested one or the question concerns agent-product behavior, such as Claude Code versus Codex.
5. Follow dependent decisions until the skill decides the decision tree is exhausted. Never ask a final "are we done?" meta-question.
6. Summarize the settled contract: goals, non-goals, decisions, constraints, risks, validation, and unresolved items.