agentleFS
GUOJIE-HONGGUOJIE-HONG/skills/skills/engineering/show-grill-clearly/SKILL.md

show-grill-clearly

Skill1 starsChanged 6 days agoMITView on GitHub

Turn the unresolved decisions of a grilling session into a temporary browser questionnaire, so questions that are hard to follow in chat become clear, while preserving the original questions and producing a copyable reply prompt.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Keep confirmed facts in recap and every unresolved material matter in questions.

    line 19
  2. Very specific:

    Add one concrete scenario, up to three decision-relevant context facts, and two to four distinguishable options.

    line 24
  3. Distinctive:

    Use Traditional Chinese for user-facing prose while preserving exact technical text.

    line 28
  4. Distinctive:

    Write the decision data as a JSON payload file in the operating system's temporary directory, using a file-writing tool, then run the …

    line 34
  5. Very specific:

    Keep every blank question open, regardless of required, recommendation, or urgency.

    line 60

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Show Grill Clearly

Turn an established grill decision set into a browser handoff. The aid collects decisions; it does not discover facts or decide for the user.

1. Confirm the handoff

Use the established grill handoff as the evidence boundary. Proceed only when at least one unresolved user-owned decision can change behavior, contracts, data, or workflow, and the handoff already supports honest choices and consequences. If evidence is missing, return one consolidated list of gaps to the owning grill and stop.

Accept direct chat answers at any time; reconcile them against the same decision set instead of forcing a browser aid.

2. Shape the decision set

Keep confirmed facts in recap and every unresolved material matter in questions. Never reopen a confirmed decision or hide an open one in context. Order dependent questions coherently and split questions that carry separate decisions.

For each question:

  • Rewrite the grill's question as a sourceQuestion the reader can decide from without the transcript. Keep everything that can change the answer — the stake, the binding constraint, the worst case — and drop narration, restatement, and background the other fields already carry. When decision-bearing content still does not fit, the question is carrying more than one decision: split it rather than compress it away.
  • Add one concrete scenario, up to three decision-relevant context facts, and two to four distinguishable options. They explain the decision; they never replace or redefine it.
  • State a concrete effect or cost in every option note.
  • Include recommendation only when established evidence supports it. It is advisory and never preselected.

Use Traditional Chinese for user-facing prose while preserving exact technical text. Keep supporting text scannable without weakening the original questions or consequences.

3. Build and open

assets/questionnaire-template.html is the renderer and interaction contract. Its embedded validation is the single source of truth for payload fields, identifiers, limits, and structural completeness; do not restate those mechanical rules here.

Write the decision data as a JSON payload file in the operating system's temporary directory, using a file-writing tool, then run the builder that matches the current operating system. Paths are relative to this skill directory.

The builder accepts a file path only. Never inline the payload into a shell command through a heredoc, echo, or -c: a shell command over roughly 8 KB is truncated in transit and dies with a shell syntax error, while the same command run outside the tool succeeds. Never hand-edit the template, and never copy an earlier questionnaire as a template, in place of a builder.

Windows:

powershell.exe -NoProfile -File scripts/build-questionnaire.ps1 -Data <payload.json>

macOS:

sh scripts/build-questionnaire.sh <payload.json>

Each builder writes one self-contained HTML questionnaire to a unique temporary path, outside repositories, installed skills, and shared state, then opens it in the default browser. Treat the printed ARTIFACT=<path> as the delivery guarantee and LAUNCH=accepted|failed as the final browser observation for that artifact. A failed launch degrades to the clickable artifact path instead of failing the handoff.

4. Hand back and pause

Return the clickable artifact path and the builder's launch result. Ask the user to answer, select 複製回復 prompt (or press C), and paste the result into the originating conversation. Pause the owning grill.

On return:

  • Honor explicit choices and qualifications.
  • Interpret a note-only response on its own terms; if it states no unambiguous decision, keep that question open. Never substitute displayed guidance.
  • Keep every blank question open, regardless of required, recommendation, or urgency.
  • Confirm all remaining open questions together. Resume the original workflow only when none remain, or when the user explicitly accepts the remaining displayed recommendations.

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Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.