一键在 Manus 中运行任何 Skill

grill-with-docs

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更新时间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.

安装

用 Codex 或 Claude 帮你安装复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。

在 Manus 中运行

来源

michaelalber

michaelalber/ai-toolkit

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在 Manus 中运行

相关职业SOC

基于 SOC 职业分类

项目管理专家商业与金融运营类职业·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.

同仓库更多 Skills

同仓库

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