Analytics & Monitoring Agent Skills for Claude Code

Triage LangChain 1.0 / LangGraph 1.0 production incidents \u2014 LLM-specific\

Install and configure LangChain SDK with provider authentication.

Set up comprehensive observability for LangChain applications

Wire LangSmith tracing and custom metric callbacks into a LangChain\

Tune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput,\n\

Manage LangChain 1.0 prompts like code \u2014 LangSmith prompt hub versioning,\n\

Implement LangChain reference architecture for production systems: layered design, provider abstraction, chain registry, RAG pipelines…

Compose LangChain 1.0 Python runnables with the production defaults

Plan and execute LangChain SDK upgrades and migrations.

Dispatch LangChain 1.0 chain/agent events to external systems \u2014\

Expert in Langfuse - the open-source LLM observability platform.

Execute Langfuse primary workflow: Tracing LLM calls and spans.

Execute Langfuse secondary workflow: Evaluation, scoring, and datasets.

Monitor and optimize LLM costs using Langfuse analytics and dashboards.

Manage Langfuse data export, retention, and compliance requirements.

Collect Langfuse debug evidence for support tickets and troubleshooting.

Deploy Langfuse with your application across different platforms.

Create a minimal working Langfuse trace example.

Troubleshoot and respond to Langfuse-related incidents and outages.

LangFuse LLM observability integration for tracing, analytics, and cost tracking

Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI…