arize-phoenix
Open-source AI observability platform for tracing, evaluating, and improving LLM applications with OpenTelemetry integration
npx skills add majiayu000/claude-skill-registry --skill phoenix-finimo-solutions-research --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Arize Phoenix Phoenix is an open-source AI observability platform built on OpenTelemetry that helps developers understand, debug, and improve AI applications. It provides comprehensive tracing, evaluation, prompt engineering, and experimentation capabilities for LLM-based systems. Phoenix captures detailed execution information from AI applications, measures output quality with evaluators, enables systematic prompt iteration, and supports data-driven experimentation to optimize AI performance. ## When to Use This Skill - Debugging AI application failures by inspecting LLM calls, tool executions, and retrieval operations - Measuring and improving AI output quality using LLM-based or code-based evaluators - Iterating on prompts using real production examples and testing variations systematically - Comparing different versions of AI applications (prompts, models, architectures) using experiments - Monitoring LLM costs, token usage, latency, and error rates in production - Building datasets from production traces for evaluation and fine-tuning - Tracking multi-turn conversations and maintaining context across interactions - Optimizing RAG systems by analyzing retrieval quality and do
- When to Use This Skill
- Capabilities
- Skills
- Tracing
- Evaluation
- Datasets & Experiments
- Prompt Engineering
- Projects & Organization
- API & Programmatic Access
- Authentication & Security
- Workflows
- Workflow 1: Instrument and Trace an AI Application
- Workflow 2: Evaluate AI Output Quality
- Workflow 3: Run Experiments to Compare Versions
What does the arize-phoenix skill do?
Open-source AI observability platform for tracing, evaluating, and improving LLM applications with OpenTelemetry integration
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill phoenix-finimo-solutions-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.