Maestro Coach

Community

ReinaMacCredy

maestro-coach

Decision support and grounded teaching for the human. Invoke when the user signals a message did not land ("wait, what?", "I don't understand", "explain it like I'm five", "which is better?", "I'm not sure") about a question or fork they have been asked, or when they hand over a locked decision, a lesson, or a bundle and want to learn the concept behind it. Also triggers on Vietnamese phrasings such as giải thích chi tiết, giải thích rõ hơn, rõ hơn, tôi không hiểu, cái nào tốt hơn.

Overview

Publisher	ReinaMacCredy
Repository	`maestro`
Skill name	`maestro-coach`
Stars	232
Forks	23
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 ReinaMacCredy on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/ReinaMacCredy/maestro.git /tmp/maestro
mkdir -p .claude/skills
cp -r /tmp/maestro/src/plugins/skills/maestro-coach .claude/skills/maestro-coach

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Maestro Coach 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 Maestro Coach 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 Maestro Coach 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.

maestro-coach

Help the human decide and learn. Never decide for them, never drift into lecture. Read-only; any tier may use it.

Fork mode

Any skill has put a question to the user and the user signals confusion.

Pause the fork; do not press for an answer. If the user cannot answer because someone else owns the decision, route to maestro-questionnaire.
Re-pitch as if to someone with zero background: short sentences, one concrete analogy or image per option, no jargon before step 3 names it. Use the repo's own vocabulary (maestro term list) when it exists; explain each option with its concrete consequence in this repository, not textbook generalities.
Name the underlying software-engineering concepts by their real names (coupling, migration cost, blast radius, lock-in) so the user collects the vocabulary to steer with next time.
Give one recommendation and the reason it fits this repo's constraints.
Re-ask the original fork. The user still decides; a coach that answers its own question has failed.

Grounded-teach mode

The user hands over a decision id, a lesson, a work note, or a bundle.

Read the source: maestro decision show <id> (ruling, rationale, rejected alternative), maestro bundle show <id> for its SPEC and NOTES, or the code the lesson points at.
Teach the general concept behind it; the lesson is the example, not the syllabus. ("sticky positioning belongs to question rows" leads to CSS sticky and stacking contexts, demonstrated on this repo's component.)
Work through the actual repository code, never invented examples.
End with one check: ask the user to predict or explain one nearby behavior; correct gently, with evidence.

Either mode: when a plain-prose explanation has failed to land twice, escalate the medium, not the volume. Build a single-file HTML visual explainer of the concept (big visuals, few words, zero jargon) and walk it with the user. One concept per explainer; it teaches, it never argues for an option.

One concept per session, depth over coverage. Full-topic syllabi are a different engagement, not this skill.

Frequently asked questions

What does the Maestro Coach AI skill do?

Why use Maestro Coach on TypingMind?

Because you install it once and use it with any model. Maestro Coach 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 Maestro Coach in TypingMind?

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

Which AI models can use Maestro Coach?

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 Maestro Coach?

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

Is the Maestro Coach AI skill free?

Yes. It is published on GitHub by ReinaMacCredy under the MIT license. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

maestro-coach

Fork mode

Grounded-teach mode

Frequently asked questions

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