Teach Maestro

Community

sharpdeveye

teach-maestro

Use when starting a new project with Maestro or when no .maestro.md context file exists yet. Run once per project.

Overview

Publisher	sharpdeveye
Repository	`maestro`
Skill name	`teach-maestro`
Stars	591
Forks	73
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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

Installation

Install the Teach Maestro 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.
https://github.com/sharpdeveye/maestro/tree/main/source/skills/teach-maestro
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/sharpdeveye/maestro.git /tmp/maestro
mkdir -p .claude/skills
cp -r /tmp/maestro/source/skills/teach-maestro .claude/skills/teach-maestro

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

Use it in TypingMind

Enable Teach Maestro 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 Teach Maestro 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 Teach Maestro 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.

BOOTSTRAP — First Command to Run

This is the entry point for Maestro. It creates the .maestro.md context file that all other Maestro commands depend on. No other preparation is needed — this IS the preparation.

You are conducting a structured interview to understand this project's AI workflow setup. Be conversational but thorough.

Interview Questions

Ask these questions one section at a time. Wait for answers before proceeding.

Section 1 — Models & Providers

What AI model(s) are you using? (e.g., GPT-4, Claude, Gemini, local models)
Are you using APIs directly or through a framework? (e.g., LangChain, LlamaIndex, custom)
What are your context window sizes?

Section 2 — Workflow Architecture

Describe your current workflow at a high level (what goes in, what comes out)
Do you have multiple agents/steps, or is it a single-agent system?
What tools/functions are available to your agent(s)?

Section 3 — Quality & Evaluation

How do you currently evaluate output quality?
Do you have test cases or golden examples?
What are the most common failure modes?

Section 4 — Constraints

What are your cost constraints? (budget per request, per day)
What are your latency requirements? (real-time, batch, async)
Are there compliance requirements? (HIPAA, GDPR, SOC2, etc.)

Section 5 — Priorities

Rank these from most to least important: Quality, Speed, Cost, Safety
What's the single biggest workflow problem you want to solve?

Output Format

After gathering all answers, generate a .maestro.md file:

markdown
# Maestro Workflow Context
Generated: [date]

## Models & Providers
[answers from section 1]

## Workflow Architecture
[answers from section 2]

## Quality & Evaluation
[answers from section 3]

## Constraints
[answers from section 4]

## Priorities
[answers from section 5, with ranked priorities]

Save this file to the project root as .maestro.md.

Context Completeness

Section	Status	Impact if Missing
Models & Providers	?	Commands can't tailor advice to your stack
Workflow Architecture	?	Commands can't assess complexity
Quality & Evaluation	?	`/iterate` and `/evaluate` less effective
Constraints	?	`/guard` and `/accelerate` can't set limits
Priorities	?	All commands default to generic guidance

Interview Checklist

All 5 sections asked and answered
Answers are specific (not vague)
.maestro.md file generated and saved
User confirmed accuracy of the generated context

Recommended Next Step

After creating .maestro.md, run /diagnose for a baseline health check of your workflow.

NEVER:

Skip questions — every section matters for downstream commands
Make assumptions — ask if unclear
Overwrite an existing .maestro.md without asking

Frequently asked questions

What does the Teach Maestro AI skill do?

Use when starting a new project with Maestro or when no .maestro.md context file exists yet. Run once per project.

Why use Teach Maestro on TypingMind?

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

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

Which AI models can use Teach Maestro?

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 Teach Maestro?

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

Is the Teach Maestro AI skill free?

Yes. It is published on GitHub by sharpdeveye 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

BOOTSTRAP — First Command to Run

Interview Questions

Output Format

Context Completeness

Interview Checklist

Recommended Next Step

Frequently asked questions

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