If you're running LLMs in production and not tracking what they're doing, you're flying blind. This skill gives Claude expertise in Langfuse, an open source observability platform that traces your LLM calls, manages prompts, and tracks costs across OpenAI, LangChain, and LlamaIndex integrations. It covers the full workflow from basic tracing setup to scoring responses and A/B testing prompts. The patterns are solid, especially the drop-in OpenAI wrapper that automatically logs everything. Most valuable when you're debugging why GPT-4 gave a weird response last Tuesday or trying to figure out which prompt version actually performs better. Just remember to call flush() in serverless environments or you'll lose your traces.
npx -y skills add davila7/claude-code-templates --skill langfuse --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills