Add Yourself To Team Langfuse logo

Add Yourself To Team Langfuse

Organization
langfuse
add-yourself-to-team-langfuse

Add a new team member to Langfuse's canonical team data and shared team table. Use when onboarding a new employee who needs to appear on the website team, press, about, careers, or handbook pages.

Overview

Publisherlangfuse
Repositorylangfuse-docs
Skill nameadd-yourself-to-team-langfuse
Stars
247
Forks
327
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 langfuse on GitHub. Read the source before you install it.

Installation

Install the Add Yourself To Team Langfuse 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/langfuse/langfuse-docs/tree/main/.agents/skills/add-yourself-to-team-langfuse
  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/langfuse/langfuse-docs.git /tmp/langfuse-docs
mkdir -p .claude/skills
cp -r /tmp/langfuse-docs/.agents/skills/add-yourself-to-team-langfuse .claude/skills/add-yourself-to-team-langfuse
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Yourself To Team Langfuse 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 Add Yourself To Team Langfuse 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 Add Yourself To Team Langfuse 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.

Add a new team member to Langfuse. Ask the user for the following information before proceeding:

  1. Full name (including any special characters, e.g. umlauts)
  2. Role/title (e.g. "Growth & Developer Relations")
  3. GitHub username (e.g. from https://github.com/username)
  4. LinkedIn URL (e.g. https://www.linkedin.com/in/handle/)
  5. X/Twitter handle (e.g. from https://x.com/handle) — optional
  6. Profile photo — remind them to add it to public/images/people/<key>.jpg

Once you have the information, update the following source files:


1. data/authors.json

Add a new entry at the end (before the closing }). Use a lowercase, no-special-chars version of the name as the key (e.g. annabellschafer):

json
"<key>": {
  "firstName": "<first name>",
  "name": "<full name>",
  "title": "<role>",
  "image": "/images/people/<key>.jpg",
  "twitter": "<twitter handle>",   // omit if not provided
  "github": "<github username>",   // omit if not provided
  "linkedin": "<linkedin handle>"  // omit if not provided
}

2. components-mdx/team-members.mdx

This is the canonical website team list. It is rendered by the press, about, careers, and handbook team pages. Append a new table row at the end:

md
| **<Full Name>** | <Role> | [Twitter](https://x.com/<twitter>), [LinkedIn](https://www.linkedin.com/in/<linkedin>/), [GitHub](https://github.com/<github>) |

Omit any social links that were not provided.


3. Confirm shared usage

Do not add team rows directly to any other page. Those pages should import and render the canonical component:

mdx
import TeamMembers from "@/components-mdx/team-members.mdx";

<TeamMembers />

If a page has a hand-written team table or list, replace it with the shared TeamMembers import instead of adding another copy. Please do a quick search for some team members to confirm that there are no copies of this table.

Frequently asked questions

What does the Add Yourself To Team Langfuse AI skill do?

Add a new team member to Langfuse's canonical team data and shared team table. Use when onboarding a new employee who needs to appear on the website team, press, about, careers, or handbook pages.

Why use Add Yourself To Team Langfuse on TypingMind?

Because you install it once and use it with any model. Add Yourself To Team Langfuse 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 Add Yourself To Team Langfuse in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/langfuse/langfuse-docs/tree/main/.agents/skills/add-yourself-to-team-langfuse. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Add Yourself To Team Langfuse?

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 Add Yourself To Team Langfuse?

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

Is the Add Yourself To Team Langfuse AI skill free?

Yes. It is published on GitHub by langfuse 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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