# langfuse

Skills that let Claude query and manage Langfuse traces, prompts, datasets and scores through the API.

- plugin · `type=plugin` · Claude Code · ★ 312
- Author: Langfuse
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/langfuse/skills
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/plugins/langfuse

## What it does

The plugin brings two skills into Claude. The main one, `langfuse`, gives the agent access to the Langfuse API: it queries and manages traces, prompts, datasets and scores, looks up documentation, and tries to follow established practices while doing it. The second, `migrate-to-langfuse`, handles a move from another observability and evals platform such as LangSmith, Arize or Braintrust. It interviews you about scope first, then runs the live tracing cutover and transfers historical traces, datasets, prompts and evaluators.

You need a Langfuse account — cloud or self-hosted — and API keys, which live in your project under Settings > API Keys. Set them as environment variables: `LANGFUSE_PUBLIC_KEY`, `LANGFUSE_SECRET_KEY` and `LANGFUSE_BASE_URL`. Without those the agent cannot reach the API, so check them before anything else.

Skills load on their own when the task matches: setting up tracing in a project, auditing existing instrumentation, moving prompts into Langfuse prompt management, querying traces or datasets, looking up SDK and integration docs. There is also a path for CI/CD experiment gates via `langfuse/experiment-action`.

## Install

### Claude Code (native platform)

**Plugin marketplace**
In the agent chat (not a shell):
```text
/plugin install langfuse@claude-plugins-official
```
In the agent chat (not a shell):
```text
/plugin marketplace add anthropics/claude-plugins-community
```
In the agent chat (not a shell):
```text
/plugin install langfuse@claude-community
```
In the agent chat (not a shell):
```text
/plugin marketplace add anthropics/claude-plugins-official
```

## When to use it
- set up Langfuse tracing in a project
- query and inspect traces through the API
- move prompts into Langfuse prompt management
- audit existing instrumentation for gaps
- migrate off LangSmith or Braintrust to Langfuse

## Example prompts
- set up Langfuse tracing in this project
- pull the latest traces and show me where requests fail
- move our prompts into Langfuse prompt management

## Source text · SKILL.md · MIT

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# Langfuse Skills

[Agent Skills](https://github.com/anthropics/skills) that teach AI coding assistants (Claude Code, Cursor, etc.) how to work with [Langfuse](https://langfuse.com) — the open-source LLM engineering platform for tracing, prompt management, and evaluation.

## Skills

| Skill                                                           | Description                                                                                        |
| --------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
| [langfuse](./skills/langfuse)                                   | Main skill to work with Langfuse. Query and manage traces, prompts, datasets, and scores via the Langfuse API; look up documentation; do things with best practices in mind. |
| [migrate-to-langfuse](./skills/migrate-to-langfuse)             | Migrate from another LLM observability/evals platform (LangSmith, Arize, Braintrust, etc.) to Langfuse. Interviews you about scope, then handles the live tracing cutover and transfer of historical traces, datasets, prompts, and evaluators. |

## Installation

### Cursor Plugin

Install as a [Cursor plugin](https://cursor.com/docs/plugins):

```
/add-plugin langfuse
```

### skills CLI

Install via the [skills CLI](https://github.com/vercel-labs/skills):

```bash
npx skills add langfuse/skills --skill "langfuse"
```

### Manual symlink

Clone this repo and symlink the skill into your agent's skills directory:

```bash
git clone https://github.com/langfuse/skills.git /path/to/langfuse-skills
ln -s /path/to/langfuse-skills/skills/langfuse /path/to/skills-directory/langfuse
```

## Prerequisites

You need a Langfuse account ([cloud](https://cloud.langfuse.com) or [self-hosted](https://langfuse.com/docs/deployment/self-host)) and API keys:

```bash
export LANGFUSE_PUBLIC_KEY=pk-lf-...
export LANGFUSE_SECRET_KEY=sk-lf-...
export LANGFUSE_BASE_URL=https://cloud.langfuse.com  # or https://us.cloud.langfuse.com, or self-hosted URL
```

API keys are found in your Langfuse project under **Settings > API Keys**.

## Usage

Once installed, the agent will automatically use these skills when relevant — for example:

- Setting up Langfuse tracing in a project
- Setting up CI/CD experiment gates with `langfuse/experiment-action`
- Auditing existing instrumentation
- Preparing an application and Langfuse project for the v4 platform migration
- Migrating prompts to Langfuse prompt management
- Querying traces, prompts, or datasets via the API
- Looking up Langfuse docs, SDK usage, or integration guides

## Contributing

Want to improve a skill or add a new one? See [CONTRIBUTING.md](./CONTRIBUTING.md).

## Feedback & Requests

Something not working as expected, or want a new skill? [Start a discussion](https://github.com/langfuse/skills/discussions/new?category=ideas-improvements).
````
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© Langfuse · MIT · https://github.com/langfuse/skills

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From the same set: [langfuse/skills](https://affpapa.org/en/nevibecode/by/langfuse/skills.md) — 2 cards

---
NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md
