agentleFS
vpeetla-aivpeetla-ai/multi-agent-system-pattern/.cursor/skills/grill-with-context/SKILL.md

grill-with-context

Skill2 starsChanged 5 months agoMITView on GitHub

Interview the user about a plan or design until decisions are resolved, while updating CONTEXT.md terms and noting ADR candidates. Use before large features, cross-repo integrations, or when requirements feel vague.

5 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do not start coding until grilling is complete

    line 34
  2. Distinctive:

    Do not ask five questions in one message

    line 35
  3. Distinctive:

    Prefer multiple-choice when options are finite

    line 36

≈ “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

Grill With Context

Inspired by mattpocock/skills grill-with-docs — org-specific version.

When to use

  • New feature spanning multiple stack layers
  • Unclear which repo should own the change
  • User says "build X" without success criteria

Process

  1. Restate the goal in one sentence; ask if correct
  2. Grill — ask one question at a time until resolved:
    • Which stack layer? (see governed-ai-stack)
    • What defines done? (test, demo URL, metric)
    • Side effects? (gateway/HITL required?)
    • Stub mode or live API keys?
  3. Sharpen vocabulary — if the user uses vague terms, propose CONTEXT.md entries
  4. ADR candidates — flag decisions that need an ADR in ai-architecture-portfolio
  5. Output — short plan with repo, files, test strategy, out-of-scope list

Rules

  • Do not start coding until grilling is complete
  • Do not ask five questions in one message
  • Prefer multiple-choice when options are finite

After grilling

Suggest tdd-agent-loops for implementation or to-prd equivalent: write plan to docs/plans/<slug>.md

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