Analytics & Monitoring Agent Skills for Zed

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…

Execute complex Langfuse migrations including data migration and platform

Configure Langfuse across development, staging, and production environments.

Langfuse production readiness checklist and verification.

Langfuse SDK best practices, patterns, and idiomatic usage.

Upgrade Langfuse SDK versions and migrate between API changes.

Persist LangGraph agent state correctly with MemorySaver and PostgresSaver\

LangSmith tracing and debugging setup for LLM applications.

Get crypto and meme token price charts (K-line, candlestick, OHLCV), trending meme coin rankings by volume, newly launched tokens on…

Define success criteria and tracking setup for launch during PRD v0.9 Go-to-Market.

Multi-cycle performance optimization with profiling and bottleneck analysis.

This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture"…

Performance and accessibility auditing using Google Lighthouse.