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clickhouse-llm-observability
clickhouse-llm-observability contient 4 skills collectées depuis doneyli, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Diagnose and fix problems with the LLM observability stack — services not starting, traces not appearing, missing scores, agents without MCP tools, 401 errors, port conflicts. Use when anything in the demo stack is broken, unhealthy, or behaving unexpectedly.
Present, rehearse, or drive the LLM observability demo — pre-flight checks, fresh trace generation, and a guided walkthrough of what to show and say in Langfuse and LibreChat. Use when the user says "run the demo", "demo this", "walk me through the demo", "prep me for a customer demo", or asks what to show for a given audience or time slot.
Deploy the full LLM observability stack (Langfuse + ClickHouse + LibreChat + demo apps) end to end and verify it is demo-ready. Use when the user says "deploy this demo", "set this up", "get the stack running", or when a partial/failed deployment needs to be brought to a healthy state.
Interact with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. This skill covers CLI-based API access (via npx) and multiple documentation retrieval methods.