ワンクリックでManusで任意のスキルを実行

grill-with-docs

スター1

フォーク0

更新日2026年7月22日 07:28

Runs a relentless interview to sharpen a plan or design, capturing the decisions as ADRs and a glossary along the way. Use when the user wants to be grilled AND wants the session to leave durable domain documentation behind. Do NOT use for a throwaway stress-test with no artifacts; use grill-me instead.

インストール

Codex または Claude でインストールこの Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。

Manusで実行

ソース

michaelalber

michaelalber/ai-toolkit

GitHub リポジトリを開く Creator のリポジトリを見る

ダウンロード

Manusで実行

関連職種SOC

SOC 職業分類に基づく

プロジェクト管理専門家ビジネス・金融業務職·SOC 13-1082

SKILL.md

readonly

name	grill-with-docs
audience	team
source	mattpocock/skills
source_commit	ed37663
source_note	Body vendored verbatim except the composed skill name (upstream /domain-modeling → local /domain-model) — see .matt-pocock-attribution.yml
description	Runs a relentless interview to sharpen a plan or design, capturing the decisions as ADRs and a glossary along the way. Use when the user wants to be grilled AND wants the session to leave durable domain documentation behind. Do NOT use for a throwaway stress-test with no artifacts; use grill-me instead.
disable-model-invocation	true

Run a /grilling session, using the /domain-model skill.

このリポジトリの他の Skills

同じリポジトリ

domain-model

michaelalber/ai-toolkit

Interrogates a plan or codebase using Domain-Driven Design vocabulary. Enforces CONTEXT.md terminology, surfaces code/plan contradictions, and records domain decisions as ADRs sparingly. Use when designing a bounded context, reviewing a domain model, or asked to "apply DDD", "model the domain", or "review the domain model". Creates CONTEXT.md lazily from CONTEXT-FORMAT.md when the first term is resolved. Model-invocable so grill-with-docs, improve-codebase-architecture, codebase-design, and qraspi-architecture can pull it in mid-session. Ported from https://github.com/mattpocock/skills (Matt Pocock).

2026-07-221

codebase-design

michaelalber/ai-toolkit

Shared vocabulary for designing deep modules — a lot of behaviour behind a small interface, placed at a clean seam, testable through that interface. Use when designing or improving a module's interface, finding deepening opportunities, deciding where a seam goes, making code more testable, or when another skill needs the deep-module vocabulary. Pairs with improve-codebase-architecture (which applies it) and domain-model (which supplies the domain nouns). Ported from https://github.com/mattpocock/skills (Matt Pocock).

2026-07-221

improve-codebase-architecture

michaelalber/ai-toolkit

Deep module refactoring using APOSD vocabulary: eliminates shallow modules, reduces information leakage, resolves temporal coupling, and aligns naming with the ubiquitous language. Use when asked to "improve the architecture", "refactor this module", "apply APOSD", or "clean up the design". Works best after domain-model is established. Ported from https://github.com/mattpocock/skills (Matt Pocock).

2026-07-221

grill-me

michaelalber/ai-toolkit

Runs a relentless interview to sharpen a plan or design. Use when the user wants to stress-test a plan, get grilled on their design, or says "grill me". Do NOT use when the session should also produce ADRs and a glossary; use grill-with-docs instead.

2026-07-221

grilling

michaelalber/ai-toolkit

Interviews the user relentlessly about a plan, decision, or idea — one question at a time, each with a recommended answer. Shared engine behind "grill-me" and "grill-with-docs". Use on any "grill" trigger phrase or to stress-test thinking. Do NOT use to build the plan; it ends at shared understanding, not implementation.

2026-07-221

substack-writer

michaelalber/ai-toolkit

Structured multi-pass pipeline for turning raw technical notes into publication-quality Substack/blog posts for a professional software-engineering portfolio. Use whenever the user wants to draft, outline, revise, or polish a Substack post, technical blog article, or portfolio writing piece — especially anything about AI-augmented development, edge AI, RAG, .NET/C#, Python, Rust, APIs, or industrial automation. Trigger even if they just say "help me write a post about X" or paste raw notes to turn into an article. Keeps the human as the source of technical substance and applies editorial craft rather than generating generic filler.

2026-07-221