Agent skill

Add Yourself To Team Langfuse

by langfuse in langfuse/langfuse-docs

Add a new team member to Langfuse's canonical team data and shared team table.

MITAuto-check passedAI & LLM Engineering

Install Add Yourself To Team Langfuse

skills CLI
$ npx skills add langfuse/langfuse-docs --skill add-yourself-to-team-langfuse -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install langfuse/langfuse-docs add-yourself-to-team-langfuse --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/langfuse/langfuse-docs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/add-yourself-to-team-langfuse .claude/skills/add-yourself-to-team-langfuse && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
add-yourself-to-team-langfuse
GitHub stars
246
Token cost
~548 tokens
SKILL.md length
195 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Add a new team member to Langfuse's canonical team data and shared team table.

  • Works in 3 steps: data/authors.json → components-mdx/team-members.mdx → Confirm shared usage
  • Onboarding a new employee who needs to appear on the website team
  • Reaches github.com and linkedin.com
  • Tasks that involve LLM observability

What it does

Add Yourself To Team Langfuse is an agent skill from langfuse/langfuse-docs. 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.

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering LLM observability. It works with Langfuse. The repository describes itself as: 🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform. The licence is MIT.

When your agent uses it

  • Onboarding a new employee who needs to appear on the website team
  • Tasks that involve LLM observability

Example prompts

  • “/add-yourself-to-team-langfuse”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. data/authors.json
  2. components-mdx/team-members.mdx
  3. Confirm shared usage

What it can do on your machine

Read from SKILL.md and the folder at commit 3441a24. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json, markdown and mdx).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com
    • linkedin.com
    • x.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Add Yourself To Team Langfuse loads about 548 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 195 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~548

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from langfuse/langfuse-docs at commit 3441a24, republished under its MIT licence (© langfuse). 195 words, ~548 tokens.

Download SKILL.mdSave it as .claude/skills/add-yourself-to-team-langfuse/SKILL.md (or your agent's skills folder).
name
add-yourself-to-team-langfuse
description
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.

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.

© langfuse, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/add-yourself-to-team-langfuse of langfuse/langfuse-docs.

Open the folder on GitHubat commit 3441a24

Compare with similar skills

Add Yourself To Team Langfuse next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Add Yourself To Team Langfuse compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Add Yourself To Team Langfuse this skilllangfuse/langfuse-docs246—~548Automated safety check: PassMIT
Langfuse Codebase Navigatorlangfuse/langfuse36k—~1.4kAutomated safety check: PassCustom licence
Langfuselangfuse/skills301—~2.1kAutomated safety check: NotesMIT
Weekly Production Reviewlangfuse/langfuse36k—~4.1kAutomated safety check: PassCustom licence
Agent Setup Maintenancelangfuse/langfuse36k—~799Automated safety check: PassCustom licence
LangfuseAnil-matcha/awesome-muse-connectors1.3k—~773Automated safety check: PassMIT

Similar skills

  • Navigate Langfuse repositories, code areas, and agent skills.

    36k GitHub stars~1.4k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • Langfuse

    langfuse/skills

    Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications.

    301 GitHub stars~2.1k tokensUpdated 9 days ago
    AI & LLM EngineeringAuto-check: notes
  • Weekly Production Review

    langfuse/langfuse

    Prepare Langfuse weekly production reviews covering failures, fixes, open issues, and tracking gaps.

    36k GitHub stars~4.1k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • Agent Setup Maintenance

    langfuse/langfuse

    Shared workflow for editing Langfuse's repo-owned agent setup under .agents/.

    36k GitHub stars~799 tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • Langfuse

    Anil-matcha/awesome-muse-connectors

    Read and write Langfuse: browse traces and observations, list prompts and datasets, score traces, add dataset items.

    1.3k GitHub stars~773 tokensUpdated 5 days ago
    AI & LLM EngineeringAuto-check passed
  • Langfuse Data Handling

    jeremylongshore/tons-of-skills-marketplace

    Manage Langfuse data export, retention, and compliance requirements.

    2.8k GitHub stars~2k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed

More from langfuse/langfuse-docs

  • Langfuse Integration Page

    langfuse/langfuse-docs

    Create a new Langfuse integration page in the langfuse-docs repo.

    246 GitHub stars~3.7k tokensUpdated yesterday
    Auto-check passed
  • Add Customer To User List

    langfuse/langfuse-docs

    Add or update a company in the Langfuse /users adopters table.

    246 GitHub stars~2.3k tokensUpdated yesterday
    Auto-check passed
  • Customer Story Setup

    langfuse/langfuse-docs

    Converts draft customer-story Markdown into Langfuse website MDX (Fumadocs), collects missing metadata and assets, wires meta.json and authors.

    246 GitHub stars~2.4k tokensUpdated yesterday
    Auto-check passed

Works with

Questions about Add Yourself To Team Langfuse

What does Add Yourself To Team Langfuse do?

Add a new team member to Langfuse's canonical team data and shared team table. Add Yourself To Team Langfuse is an agent skill from langfuse/langfuse-docs. Add a new team member to Langfuse's canonical team data and shared team table.

When should I use Add Yourself To Team Langfuse?

Add Yourself To Team Langfuse fits situations like: onboarding a new employee who needs to appear on the website team; tasks that involve LLM observability.

How do I install Add Yourself To Team Langfuse in Claude Code?

Run `npx skills add langfuse/langfuse-docs --skill add-yourself-to-team-langfuse -a claude-code`. Or copy the skill folder (.agents/skills/add-yourself-to-team-langfuse in langfuse/langfuse-docs) into .claude/skills/add-yourself-to-team-langfuse in your project. Claude Code loads it when a task matches its description.

How do I install Add Yourself To Team Langfuse in Codex?

Run `npx skills add langfuse/langfuse-docs --skill add-yourself-to-team-langfuse -a codex`. Or copy the skill folder (.agents/skills/add-yourself-to-team-langfuse in langfuse/langfuse-docs) into .agents/skills/add-yourself-to-team-langfuse in your project. Codex loads it when a task matches its description.

Can I use Add Yourself To Team Langfuse in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langfuse/langfuse-docs --skill add-yourself-to-team-langfuse -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/add-yourself-to-team-langfuse, .gemini/skills/add-yourself-to-team-langfuse, .github/skills/add-yourself-to-team-langfuse and .opencode/skills/add-yourself-to-team-langfuse in your project.

What does Add Yourself To Team Langfuse need to run?

SKILL.md names no scripts, command-line tools or credentials: Add Yourself To Team Langfuse is instructions for the agent only.

Does Add Yourself To Team Langfuse access the network?

SKILL.md names 3 domains. In commands or code: github.com, linkedin.com and x.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Add Yourself To Team Langfuse safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Add Yourself To Team Langfuse use?

Add Yourself To Team Langfuse is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Add Yourself To Team Langfuse use?

About 548 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Add Yourself To Team Langfuse?

Skills that share tags, products or a category with Add Yourself To Team Langfuse: Langfuse Codebase Navigator (langfuse/langfuse, 36k stars), Langfuse (langfuse/skills, 301 stars), Weekly Production Review (langfuse/langfuse, 36k stars) and Agent Setup Maintenance (langfuse/langfuse, 36k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Add Yourself To Team Langfuse?

langfuse (a GitHub organization) maintains it in langfuse/langfuse-docs, which has 246 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 10, 2026.

Source: langfuse/langfuse-docs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.