Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking "what's going wrong", "what kinds of mistakes", or "where do I focus" — even without naming a technique.
$npx -y skills add arize-ai/phoenix --skill phoenix-cliInstalls into the current project.
Run `npx skills use "https://github.com/arize-ai/phoenix" --skill "arize-ai/phoenix/phoenix-cli"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/arize-ai/phoenix" that are relevant to the current task. Run `npx skills add "https://github.com/arize-ai/phoenix"` and select the relevant skills, then follow their instructions.