Write effective, consistent annotations on LLM/agent spans and traces, and coach the user on annotation practice. Load this whenever you are about to record structured feedback with the batch_span_annotate tool, or when the user asks how to annotate, label, score, or review spans/traces, build a failure taxonomy, or set up human/LLM review. Do NOT load for: pure analysis with no intent to save feedback (use debug-trace), latency or cost statistics, or prompt authoring (use playground).
How to install annotate-spans?
arize-ai/phoenix/annotate-spans
$npx -y skills add arize-ai/phoenix --skill annotate-spansInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/arize-ai/phoenix" --skill "arize-ai/phoenix/annotate-spans"` 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.
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