arize-skills
LLM observability, tracing, experiments, and prompt optimization
All Skills in This Repository (6)
Pure Emerald Level Indicatorsarize-trace
Export and analyze Arize traces and spans by ID for debugging LLM applications.
arize-experiment
Manage Arize AI experiments with CRUD operations and run analysis via the `ax` CLI.
arize-link
Generate deep links to Arize UI traces, spans, and sessions.
arize-instrumentation
Automate Arize AX tracing integration across Python, TypeScript, and Java applications.
arize-dataset
Manage Arize datasets and examples via the ax CLI.
arize-prompt-optimization
Extract LLM prompts from trace data and refine them using performance signals.
Frequently Asked Questions
FAQPage SchemaHow to install arize-skills?โผ
Run `npx skills add Arize-ai/arize-skills --all -g -y` in your terminal to install all skills globally. You will also need the `ax` CLI and an Arize API key to use them.
How to add tracing to my LLM app?โผ
Ask your coding agent to use the arize-instrumentation skill. It detects your stack, wires the right auto-instrumentor, and verifies a trace lands in Arize.
How to debug failing LLM traces?โผ
The arize-trace skill exports spans and traces by ID, session, or filter so your agent can find errors, latency issues, and tool-call problems. The arize-instrumentation-health skill audits overall trace quality.
Can I run prompt experiments and evaluations?โผ
Yes. The arize-dataset, arize-experiment, and arize-evaluator skills create datasets, run model comparisons, and score outputs with LLM-as-judge evaluators.
Does arize-skills work with Cursor and Claude Code?โผ
Yes. All skills follow the universal SKILL.md standard and work with Cursor, Claude Code, Codex, GitHub Copilot, Windsurf, and 40+ other agents.
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