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SKILL verified MIT Self-run

Grill With Docs

skill-ntaffzii-skill-agents-grill-with-docs · by ntaffzii

Planning interview skill that asks sharp questions before execution and turns decisions into durable project docs, domain language, PRDs, or ADR notes. Use when the user has an idea, feature, plan, product change, or unclear request that needs alignment before implementation.

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Install

$ agentstack add skill-ntaffzii-skill-agents-grill-with-docs

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Grill With Docs

Use this skill before implementation when alignment matters.

Workflow

  1. Establish intent
  • Ask what outcome the user wants, who it is for, and what must not change.
  • Identify success criteria and failure modes.
  1. Challenge scope
  • Find the smallest useful version.
  • Ask what can be deferred.
  • Surface hidden dependencies, permissions, data needs, and integration points.
  • Separate must-have, should-have, nice-to-have, and out-of-scope items when the request is large.
  1. Build shared language
  • Name the domain concepts in the user's words.
  • Define ambiguous terms.
  • Prefer one precise term over repeated explanatory phrases.
  1. Convert decisions into docs
  • Create or update lightweight docs only when they will help future sessions.
  • Use PRD for product behavior.
  • Use ADR for architectural decisions.
  • Use glossary/context docs for domain language.
  1. End with an execution-ready brief
  • Goals
  • Non-goals
  • Decisions
  • Open questions
  • First implementation slice
  • Validation plan

Question Rules

  • Ask the fewest questions that unblock execution.
  • Group related questions.
  • Do not interview forever; once enough context exists, recommend a path.
  • If the user is absent, make conservative assumptions and label them.

Verification

  • The brief has a clear goal and non-goals.
  • Decisions are separated from open questions.
  • The first implementation slice is small enough to execute.
  • Any assumptions are labeled.

Output Format

End with:

  • Goals
  • Non-goals
  • Scope
  • Decisions
  • Open questions
  • First implementation slice
  • Validation plan

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.