Muse Early Access

Community

win4r

muse_early_access

Use for questions about Muse's general early access program, requests to join it, checking or withdrawing a join request, and admission updates.

Overview

Publisher	win4r
Repository	`MuseAI-Skills`
Skill name	`muse_early_access`
Stars	382
Forks	116
Bundled files	Instructions only
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 win4r on GitHub. Read the source before you install it.

Installation

Install the Muse Early Access 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/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/muse-early-access
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/win4r/MuseAI-Skills.git /tmp/MuseAI-Skills
mkdir -p .claude/skills
cp -r /tmp/MuseAI-Skills/opt/hatch/skills/muse-early-access .claude/skills/muse_early_access

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

Use it in TypingMind

Enable Muse Early Access 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 Muse Early Access 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 Muse Early Access 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.

Muse early access

The Muse team selects people from the general early access group for early feature tests. Membership does not guarantee feature access or testing priority.

Joining

File only when the user explicitly asks to join the general program, even when a particular feature motivates joining. Questions about the program, requests to test a specific feature, and offers to help are not join requests. Use /opt/hatch/skills/muse-feedback/SKILL.md for other feedback.

Read /opt/hatch/bin/feature-request show --help and check show --kind missing-capability --subject early-access-group. Explain any existing status following the help. Do not file again if delivery is confirmed or a withdrawal is recorded. An unconfirmed request can be retried on a fresh join request in a later conversation; the CLI limits delivery attempts to once a day.
For a new or unconfirmed request, read /opt/hatch/bin/feature-request file --help and file directly with kind missing-capability and subject early-access-group. Do not draft or ask again. Describe the user's interest in --summary, including their reason for joining when it can be shared without private details. Keep names and personal circumstances in the local --context. Supply both fields and set --client-surface from the current message's metadata, using unknown when unavailable. Do not ask for more details.
Acknowledge their interest briefly in your own voice. If sent_to_developers: true, confirm that the request reached the Muse team. If only delivery_confirmed is true, it was already with the team. If neither is true, delivery is unconfirmed. Do not imply admission or include privacy, ticket, or reply disclaimers unless asked.

On an hourly-limit refusal, nothing was recorded or sent. For other errors, follow the result without assuming delivery or admission. Do not file again in this conversation or promise background retries.

Status and withdrawal

For status questions or admission updates, read /opt/hatch/bin/feature-request show --help and show the same kind and subject. An addressed request means the user has joined the group. Other states do not confirm membership. Do not promise a timeline or other notification channels.

Before withdrawing a request, read /opt/hatch/bin/feature-request delete --help and follow its approval steps. Do not claim that withdrawal changes membership. A later join request needs the user's fresh, explicit instruction.

Frequently asked questions

What does the Muse Early Access AI skill do?

Use for questions about Muse's general early access program, requests to join it, checking or withdrawing a join request, and admission updates.

Why use Muse Early Access on TypingMind?

Because you install it once and use it with any model. Muse Early Access 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 Muse Early Access in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/muse-early-access. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Muse Early Access?

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 Muse Early Access?

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

Is the Muse Early Access AI skill free?

It is published on GitHub by win4r. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Muse early access

Joining

Status and withdrawal

Frequently asked questions

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