Arize-ai
Community indexed
Arize Skills
Agent skills for Arize — datasets, experiments, and traces via the ax CLI
Community indexed
Agent skills for Arize — datasets, experiments, and traces via the ax CLI
A collection of AI agent skills for integrating Arize observability, tracing, and experiments into LLM applications.
Source documentation, not instructions for this website. Review permissions before running any commands.
Skills that guide AI coding agents to help you add observability, run experiments, and optimize prompts for your LLM applications.
These skills encode the workflows we've refined building the Arize platform and helping teams debug LLM apps in production. They handle the ax CLI flags, data shape quirks, and multi-step recipes so you don't have to.
Works with Cursor, Claude Code, Codex, GitHub Copilot, Windsurf, and 40+ other agents.
Adding tracing to your app — give your coding agent this prompt:
Install Arize skills from https://github.com/Arize-ai/arize-skills and use the arize-instrumentation skill to add tracing to this application.
The agent installs the skills, instruments your app, and verifies a trace reaches Arize AX — all in one session. You'll just need to provide your Arize credentials and approve the code changes.
Already have traces? Give your agent this prompt to install the skills and start debugging:
Install Arize skills from https://github.com/Arize-ai/arize-skills, then use the arize-trace skill to export and analyze recent traces from my project. Summarize any errors or latency issues you find.
Install all skills non-interactively — this is what the agent runs for the prompt above:
npx skills add Arize-ai/arize-skills --skill "*" --yes
Want to hand-pick skills, agent, and scope yourself? Drop the flags for the interactive wizard:
npx skills add Arize-ai/arize-skills
Both auto-detect your agent (Cursor, Claude Code, Codex, etc.) and symlink skills into place.
macOS / Linux:
git clone https://github.com/Arize-ai/arize-skills.git
cd arize-skills
./install.sh --project ~/my-project
Windows (PowerShell):
git clone https://github.com/Arize-ai/arize-skills.git
cd arize-skill
# Arize Skills Skills that guide AI coding agents to help you add observability, run experiments, and optimize prompts for your LLM applications. These skills encode the workflows we've refined building the [Arize](https://arize.com) platform and helping teams debug LLM apps in production. They handle the `ax` CLI flags, data shape quirks, and multi-step recipes so you don't have to. Works with Cursor, Claude Code, Codex, GitHub Copilot, Windsurf, and [40+ other agents](https://github.com/vercel-labs/skills#supported-agents). ## New to Arize? Start Here **Adding tracing to your app** — give your coding agent this prompt: > Install Arize skills from https://github.com/Arize-ai/arize-skills and use the arize-instrumentation skill to add tracing to this application. The agent installs the skills, instruments your app, and verifies a trace reaches Arize AX — all in one session. You'll just need to provide your Arize credentials and approve the code changes. **Already have traces?** Give your agent this prompt to install the skills and start debugging: > Install Arize skills from https://github.com/Arize-ai/arize-skills, then use the arize-trace skill to export and analyze recent traces from my project. Summarize any errors or latency issues you find. ## Installation ### Option 1: npx (recommended) Install all skills non-interactively — this is what the agent runs for the prompt above: ```bash npx skills add Arize-ai/arize-skills --skill "*" --yes ``` Want to hand-pick skills, agent, and scope yourself? Drop the flags for the interactive wizard: ```bash npx skills add Arize-ai/arize-skills ``` Both auto-detect your agent (Cursor, Claude Code, Codex, etc.) and symlink skills into place. ### Option 2: git clone **macOS / Linux:** ```bash git clone https://github.com/Arize-ai/arize-skills.git cd arize-skills ./install.sh --project ~/my-project ``` **Windows (PowerShell):** ```powershell git clone https://github.com/Arize-ai/arize-skills.git cd arize-skill
Source structure unverified
A repository listing is not proof of an installable skill. Review its instructions before proposing any installation.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
75/100
Strong
Trust
67/100
Sandbox only
Audit
81
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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}Listing source
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