langfuse-docs
Makes Langfuse's full documentation available as a skill, giving AI agents instant access to LLM observability, evaluation, and prompt management guidance.
🪢 Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and improve LLM apps
Makes Langfuse's full documentation available as a skill, giving AI agents instant access to LLM observability, evaluation, and prompt management guidance. Speeds up integration and debugging of AI pipelines.
ML engineers and AI teams building production LLM applications who need quick access to Langfuse observability and evaluation guidance.
https://github.com/langfuse/langfuse-docs
By langfuse
How to Get It
claude plugins install langfuse/langfuse-docs
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Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- I built an 8-node Agentic RAG with LangGraph that actually handles complex India — Reddit · 103 pts
- I built an automated RCA platform for LLM apps in production — works with Langfu — Reddit · 3 pts
- Go AI SDK now ships with built-in Langfuse tracing for Go — Reddit · 3 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 233 GitHub stars; 152 contributors; last commit 0d ago; license MIT.
Things to check
- Recently discovered. Looks promising but has limited community feedback so far. We added it early so you can evaluate it before the crowd finds it.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 233 GitHub stars; 152 contributors; last commit 0d ago; license MIT.