Vellum Skills Catalog logo

Vellum Skills Catalog

OrganizationPopular
vellum-ai
vellum-skills-catalog

Discover bundled skills and search/install community skills from the skills.sh registry

Overview

Publishervellum-ai
Repositoryvellum-assistant
Skill namevellum-skills-catalog
Stars
1.4K
Forks
208
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 vellum-ai on GitHub. Read the source before you install it.

Installation

Install the Vellum Skills Catalog 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/vellum-ai/vellum-assistant/tree/main/skills/vellum-skills-catalog
  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/vellum-ai/vellum-assistant.git /tmp/vellum-assistant
mkdir -p .claude/skills
cp -r /tmp/vellum-assistant/skills/vellum-skills-catalog .claude/skills/vellum-skills-catalog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vellum Skills Catalog 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 Vellum Skills Catalog 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 Vellum Skills Catalog 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.

You can help the user discover what skills are available and find community skills to extend the assistant's capabilities.

Bundled skills (first-party)

First-party skills are bundled with the assistant - they are compiled in and always available. They do not need to be installed or downloaded. To activate a bundled skill, use the skill_load tool:

skill_load skill=<skill-id>

The skill catalog shown in the system prompt lists all bundled skills with their IDs. When a user asks about capabilities, refer to this list to find relevant bundled skills and load them as needed.

Community skills (skills.sh)

Community skills are published on the skills.sh registry and can be searched, inspected, and installed on demand using the assistant skills CLI.

Searching for community skills

bash
assistant skills search "<query>"

Returns matching skills with their slug, source, install counts, and security audit badges. Use this when the user asks for a capability not covered by bundled skills.

Installing a community skill

Trust model - check the source guardian before installing:

  • Vellum-owned (vellum-ai/*): First-party skills published by the Vellum team. Install these directly without prompting - they are vetted and trusted.
  • Third-party (any other guardian): Ask the user for permission first. Present the skill name, source, audit results, and install count. Say something like: "I found a community skill that could help, but it's published by a third party - we haven't vetted it. Want to install it anyway?"
bash
assistant skills add <owner>/<repo>@<skill-name>

For example:

bash
assistant skills add vercel-labs/skills@find-skills

Once installed, the skill appears in the workspace skills directory and can be loaded with skill_load like any other skill.

Typical flow

  1. User asks about capabilities - "Can you order food?" or "What can you do?"

    • Check the bundled skills list in the system prompt
    • Present relevant skills to the user
    • Load any that match with skill_load
  2. User wants a capability not covered by bundled skills - "Can you do X?"

    • Search with assistant skills search "<query>"
    • Present matching results with descriptions, install counts, and audit badges
    • Check the source guardian to determine trust level (see trust model above)
    • Install with assistant skills add <owner>/<repo>@<skill-name>
    • Load it with skill_load
  3. Skill has dependencies - if includes lists other skill IDs, load those first with skill_load

Notes

  • Bundled skills are always available and do not need installation
  • Community skills are installed to the workspace skills directory
  • After installing a community skill, it is auto-enabled and immediately loadable
  • Skills can be enabled or disabled via feature flags without uninstalling them
  • Never install third-party community skills without explicit user confirmation

Frequently asked questions

What does the Vellum Skills Catalog AI skill do?

Discover bundled skills and search/install community skills from the skills.sh registry

Why use Vellum Skills Catalog on TypingMind?

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

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

Which AI models can use Vellum Skills Catalog?

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 Vellum Skills Catalog?

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

Is the Vellum Skills Catalog AI skill free?

Yes. It is published on GitHub by vellum-ai 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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