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Langfuse · Observability
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Build or review Langfuse backend code. An agent skill from langfuse/langfuse. | langfuse/ | 36k | — | ~1.9k | Automated safety check: Pass | Unknown | today |
| 2 | Build production-ready AI agent backends using the CloudBase Agent Python SDK — create agents with LangGraph/CrewAI/LlamaIndex, serve them via FastAPI with AG-UI protocol streaming +… | TencentCloudBase/ | 1.1k | 2 repos | ~2.9k | Automated safety check: Notes | MIT | yesterday |
| 3 | Product analytics with posthog. An agent skill from langfuse/langfuse. | langfuse/ | 36k | — | ~3.2k | Automated safety check: Pass | Unknown | today |
| 4 | Decide whether and how errors report to Sentry. An agent skill from langfuse/langfuse. | langfuse/ | 36k | — | ~3k | Automated safety check: Pass | Unknown | today |
| 5 | LiteLLM-RS Observability Architecture. An agent skill from majiayu000/litellm-rs. | majiayu000/ | 118 | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 6 | Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover. | agentsope/ | 436 | — | ~4.4k | Automated safety check: Pass | MIT | 2 days ago |
| 7 | Step-by-step guide for adding a new observability/tracing provider to Agent Kernel. | yaalalabs/ | 192 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 8 | Add OpenTelemetry traces to an AG2 beta Agent via TelemetryMiddleware (autogen.beta.middleware.builtin). | ag2ai/ | 252 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 9 | Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse v4 LLM tracing (astype, scorecurrentspan, shouldexportspan, LangfuseMedia), and drift detection. | yonatangross/ | 292 | — | ~2.2k | Automated safety check: Pass | MIT | yesterday |
| 10 | Set up comprehensive observability for Langfuse with metrics, dashboards, and alerts. | jeremylongshore/ | 2.8k | — | ~2.2k | Automated safety check: Pass | MIT | yesterday |
| 11 | Implement comprehensive observability for LLM applications including tracing (Langfuse/Helicone), cost tracking, token optimization, RAG evaluation metrics (RAGAS), hallucination detection, and… | omer-metin/ | 163 | — | ~578 | Automated safety check: Pass | Apache-2.0 | 8 mo ago |
| 12 | Execute Langfuse primary workflow: Tracing LLM calls and spans. | jeremylongshore/ | 2.8k | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
