Analytics & Monitoring Agent Skills

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…

Configure Langfuse across development, staging, and production environments.

Langfuse production readiness checklist and verification.

Upgrade Langfuse SDK versions and migrate between API changes.

Guide for using the langium-ai (LAI) CLI to generate language descriptors, synthesize system prompts, run evaluations, and iteratively…

LangSmith API for LLM observability, tracing, evaluation, and dataset management.

LangSmith tracing and debugging setup for LLM applications.

Laravel AI SDK for building AI-powered features.

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

Surgically injects trace macros (TRACE_EVENT) into Chromium C++ files to expose "black box" latency gaps, resolves headers, and compiles…

This skill should be used when the user asks to \"share memory between agents\", \"KV cache compaction for multi-agent\", \"orchestrator…

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

Guides services where a single logging call fans out to multiple side effects - error tracking (e.g.

Use when: (1) You have a strong hand-crafted baseline (heuristic, rule-based agent, domain-expert system) and want to improve it with ML…

Multi-cycle performance optimization with profiling and bottleneck analysis.

Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate…

This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention…

This skill should be used when the user asks to "fine-tune on books", "create SFT dataset", "train style model", "extract ePub text", or…

This skill should be used when the user asks to "diagnose context problems", "fix lost-in-middle issues", "debug agent failures"…