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By langfuse
Query Langfuse LLM observability data and documentation from the terminal, and access guides for instrumentation and prompt migration.
npx claudepluginhub joshuarweaver/cascade-ai-ml-engineering --plugin langfuse-skillsAgent Skills that teach AI coding assistants (Claude Code, Cursor, etc.) how to work with Langfuse — the open-source LLM engineering platform for tracing, prompt management, and evaluation.
| Skill | Description |
|---|---|
| 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. |
Install as a Cursor plugin:
/add-plugin langfuse
Install via the skills CLI:
npx skills add langfuse/skills --skill "langfuse"
Clone this repo and symlink the skill into your agent's skills directory:
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
You need a Langfuse account (cloud or self-hosted) and API keys:
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.
Once installed, the agent will automatically use these skills when relevant — for example:
langfuse/experiment-actionSomething not working as expected, or want a new skill? Start a discussion.
Share bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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