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Ask Matt

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ninehills
ask-matt

Ask which skill or flow fits your situation. A router over the user-invoked skills in this repo.

Overview

Publisherninehills
Repositoryskills
Skill nameask-matt
Stars
278
Forks
26
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ninehills on GitHub. Read the source before you install it.

Installation

Install the Ask Matt AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ninehills/skills/tree/main/ask-matt
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ninehills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/ask-matt .claude/skills/ask-matt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ask Matt in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ask Matt on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ask Matt is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Ask Matt

You don't remember every skill, so ask.

A flow is a path through the skills. Most paths run along one main flow, and two on-ramps merge onto it. Everything else is standalone.

The main flow: idea → ship

The route most work travels. You have an idea and want it built.

  1. /grill-with-docs — sharpen the idea by interview. Start here when you have a codebase: it's stateful, retaining what it learns in CONTEXT.md and ADRs. (No codebase? Use /grill-me — see Standalone.)
  2. Branch — can you settle every question in conversation? If a question needs a runnable answer (state, business logic, a UI you have to see), detour through a prototype, bridged by /handoff in both directions (see Crossing sessions):
    • /handoff out, then open a fresh session against that file,
    • /prototype to answer the question with throwaway code,
    • /handoff back what you learned, and reference it from the original idea thread.
  3. Branch — is this a multi-session build?
    • Yes → /to-prd (turn the thread into a PRD) → /to-issues (split the PRD into independently-grabbable issues). Because the issues are independent, clear context between each one: start a fresh session per issue and kick off /implement by passing it the PRD and the single issue to work on.
    • No → /implement right here, in the same context window.

Context hygiene

Keep steps 1–3 in one unbroken context window — don't compact or clear until after /to-issues — so the grilling, PRD, and issues all build on the same thinking. Each /implement then starts fresh, working from the issue.

The limit on this is the smart zone: the window (~120k tokens on state-of-the-art models) within which the model still reasons sharply. If a session approaches it before /to-issues, don't push on degraded — /handoff and continue in a fresh thread.

On-ramps

A starting situation that generates work, then merges onto the main flow.

  • Bugs and requests piling up → /triage. It moves issues through triage roles and produces agent-ready issues, which /implement later picks up.

    Triage is only for issues you didn't create — bug reports, incoming feature requests, anything that arrives raw. Issues that /to-issues produced are already agent-ready, so don't triage them.

Codebase health

Not feature work — upkeep.

  • /improve-codebase-architecture — run whenever you have a spare moment to keep the codebase good for agents to operate in. It surfaces deepening opportunities; picking one generates an idea you can take into the main flow at /grill-with-docs.

Crossing sessions

  • /handoff — when a thread is full or you need to branch off (e.g. into a /prototype session), this compacts the conversation into a markdown file. You don't continue in place — you open a new session and reference that file to carry the context across. It's the bridge between context windows, in either direction. Use it when you want a fresh session but need the current conversation preserved.
  • /compact (built-in) — stay in the same conversation, letting the earlier turns be summarized. Use it at intentional breaks between phases, when you don't mind losing the verbatim history. Don't compact mid-phase — the agent can lose its way. /handoff forks; /compact continues.

Standalone

Off the main flow entirely.

  • /grill-me — the same relentless interview as /grill-with-docs, but for when you have no codebase. Stateless: it saves nothing locally, builds no CONTEXT.md. Reach for it to sharpen any plan or design that doesn't live in a repo.
  • /teach — learn a concept over multiple sessions, using the current directory as a stateful workspace.
  • /writing-great-skills — reference for writing and editing skills well.

Precondition

/setup-matt-pocock-skills — run before your first engineering flow to configure the issue tracker, triage labels, and doc layout the other skills assume. Custom issue trackers also work.

Frequently asked questions

What does the Ask Matt AI skill do?

Ask which skill or flow fits your situation. A router over the user-invoked skills in this repo.

Why use Ask Matt on TypingMind?

Because you install it once and use it with any model. Ask Matt is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ask Matt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ninehills/skills/tree/main/ask-matt. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ask Matt?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ask Matt?

As many as you like. As long as a model supports skills, you can use Ask Matt with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ask Matt AI skill free?

It is published on GitHub by ninehills. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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