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Share Skills

OrganizationPopular
spinabot
share-skills

Use when you need to author, package, or share a skill folder — understanding the SKILL.md format, where skills live, and how to bundle a folder so it can be shared with others.

Overview

Publisherspinabot
Repositorybrigade
Skill nameshare-skills
Stars
4.4K
Forks
50
Bundled files
Instructions only
LicenseMIT
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 spinabot on GitHub. Read the source before you install it.

Installation

Install the Share Skills 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.
  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/spinabot/brigade.git /tmp/brigade
mkdir -p .claude/skills
cp -r /tmp/brigade/skills/share-skills .claude/skills/share-skills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Share Skills 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 Share Skills 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 Share Skills 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.

Sharing Skills

This skill explains how skills are structured and how to package one for sharing. It is a companion to skill authoring: where skill-creator helps you write a skill, this covers laying it out correctly and bundling it to hand off.

Where skills live

Each skill is a folder under the skills/ directory. The folder name is the skill's identity and must match the name field in its frontmatter (lowercase). At minimum a skill folder contains a SKILL.md; it may also include supporting files (scripts, reference docs, assets) the skill refers to.

skills/
  my-skill/
    SKILL.md
    reference.md        # optional supporting docs
    scripts/run.sh      # optional helper scripts

SKILL.md format

A SKILL.md is a Markdown file with a YAML frontmatter block followed by the skill body.

yaml
---
name: my-skill          # must equal the folder name, lowercase
description: Use when ...  # the "use when" trigger guidance, product-free
# optional eligibility keys (omit any that don't apply):
os: [darwin, linux]       # OS restriction
requires-bins: [foo]      # binaries that MUST be present
requires-any-bins: [a, b] # at least one of these binaries
requires-env: [MY_TOKEN]  # required environment variables
---

Body guidelines:

  • Open with a short overview of what the skill does and when to reach for it.
  • Keep instructions truthful: only describe actions the runtime can actually perform.
  • Reference any supporting files by relative path within the folder.
  • Keep it lean — the description and metadata are what get surfaced; the body is read on demand.

Versioning a shared skill

When you intend to share a skill, keep a changelog note and a version in mind so recipients can tell revisions apart. A simple convention is a ## Changelog section at the bottom of SKILL.md or a sibling CHANGELOG.md.

Packaging a folder to share

To share a skill, bundle its entire folder (so supporting files travel with it) and hand it off as an archive.

bash
# from the skills/ directory, archive a single skill folder
tar -czf my-skill.tar.gz my-skill/

The recipient unpacks the archive into their own skills/ directory:

bash
tar -xzf my-skill.tar.gz -C ./skills/

After unpacking, confirm the folder name still matches the name in frontmatter and that any requires-* eligibility keys are accurate for the new environment.

Checklist before sharing

  • name equals the folder name (lowercase).
  • description is present and free of product names.
  • Eligibility keys (os / requires-bins / requires-any-bins / requires-env) reflect real requirements — omit them when there are none.
  • Supporting files are inside the folder and referenced by relative path.
  • The body never instructs calling a tool the runtime does not have.

Frequently asked questions

What does the Share Skills AI skill do?

Use when you need to author, package, or share a skill folder — understanding the SKILL.md format, where skills live, and how to bundle a folder so it can be shared with others.

Why use Share Skills on TypingMind?

Because you install it once and use it with any model. Share Skills 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 Share Skills in TypingMind?

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

Which AI models can use Share Skills?

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 Share Skills?

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

Is the Share Skills AI skill free?

Yes. It is published on GitHub by spinabot 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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