grill-me

Étoiles1

Forks0

Mis à jour22 juillet 2026 à 07:28

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.

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

Exécuter dans Manus

Source

michaelalber

michaelalber/ai-toolkit

Ouvrir le dépôt GitHub Voir les dépôts du créateur

Téléchargement

Exécuter dans Manus

Métiers associésSOC

Basé sur la classification professionnelle SOC

Spécialistes en gestion de projetsProfessions des affaires et des opérations financières·SOC 13-1082

SKILL.md

readonly

name	grill-me
audience	team
source	mattpocock/skills
source_commit	ed37663
source_note	Body vendored verbatim; frontmatter conformed to local conventions — see .matt-pocock-attribution.yml
description	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.
disable-model-invocation	true

Run a /grilling session.

Plus depuis ce dépôt

même dépôt

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-with-docs

michaelalber/ai-toolkit

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.

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