Agent skill · data analytics · davila7
phoenix-observability
Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.
Why this skill is useful
Provides domain-specific tracing and evaluation commands for LLM applications that the AI wouldn't reliably generate on its own.
What it needs
Requires arize-phoenix installed locally. About 5k tokens when loaded. Last updated 2026-08-06. 30,138 stars on the source repository.
What this skill does
Phoenix - AI Observability Platform Open-source AI observability and evaluation platform for LLM applications with tracing, evaluation, datasets, experiments, and real-time monitoring. When to use Phoenix Use Phoenix when: Debugging LLM application issues with detailed traces Running systematic evaluations on datasets Monitoring production LLM systems in real-time Building experiment pipelines for prompt/model comparison Self-hosted observability without vendor lock-in Key features: Tracing: OpenTelemetry-based trace collection for any LLM framework Evaluation: LLM-as-judge evaluators for quality assessment Datasets: Versioned test sets for regression testing Experiments: Compare prompts, models, and configurations Playground: Interactive prompt testing with multiple models Open-source: Self-hosted with PostgreSQL or SQLite Use alternatives instead: LangSmith: Managed platform with LangChain-first integration Weights & Biases: Deep learning experiment tracking focus Arize Cloud: Managed Phoenix with enterprise features MLflow: General ML lifecycle, model registry focus Quick start Installation Launch Phoenix server Command-line server (production) Basic tracing Core concepts Traces and spans A trace represents a complete execution flow, while spans are individual operations within that trace. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills davila7/observability-phoenix