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 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.

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:

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.

Option 2: git clone

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-skills
.\install.ps1 -Project ~\my-project

The installer detects installed agents and optionally installs the ax CLI. Use --global / -Global instead to install to ~/.<agent>/skills/.

Option 3: ax CLI

If you already have ax installed (v0.9.0+):

ax skills install

Option 4: Claude Code plugin

Open up a Claude Code session and execute the following:

/plugin marketplace add Arize-ai/arize-skills
/plugin install arize-skills@arize-skills

Prerequisites

Arize CLI (ax)

The skills use the ax CLI to interact with the Arize API. Install it if you don't have it:

# Preferred (isolated environment)
uv tool install arize-ax-cli
# or
pipx install arize-ax-cli
# Fallback
pip install arize-ax-cli

Authentication

Option A — ax CLI profile (recommended):

Set up your API key once and it persists across all sessions and projects:

# Interactive wizard (creates 'default' profile if no profiles exist)
ax profiles create

# Or pass the key directly (optional profile name as positional arg)
ax profiles create --api-key YOUR_API_KEY
ax profiles create staging --api-key YOUR_STAGING_KEY

# Update an existing profile (patches only what you specify)
ax profiles update --api-key NEW_API_KEY
ax profiles update --region us-east-1b

# Other profile management
ax profiles list
ax profiles show
ax profiles use staging
ax profiles delete staging

You'll also need a space name or ID. Find yours by running ax spaces list -o json (use the name or base64 id), then persist it:

# macOS/Linux — add to ~/.zshrc or ~/.bashrc
export ARIZE_SPACE="my-workspace"        # name, or base64 ID like U3BhY2U6...

Option B — Environment variables:

export ARIZE_API_KEY="your-api-key"       # from https://app.arize.com/admin > API Keys
export ARIZE_SPACE="my-workspace"         # space name or base64 ID from ax spaces list
# export ARIZE_DEFAULT_PROJECT=my-project # optional default project
# export OPENAI_API_KEY="sk-..."          # for AI integrations and evaluators
# export ANTHROPIC_API_KEY="sk-ant-..."   # for AI integrations and evaluators

Verify

ax --version && ax profiles show 2>&1

On-prem / self-hosted Arize

Point the CLI at your deployment with a single-endpoint profile (hostname and HTTPS port, usually 443). Replace the host with the value your operations team provides:

ax profiles create my-onprem --api-key <key> --single-host arize.yourcompany.com --single-port 443
ax profiles use my-onprem
ax profiles validate

For interactive setup, ax profiles create also offers Advanced → Single endpoint. More options (TOML, Flight/OTLP splits) are documented in the arize-ax-cli README.

Available Skills

Skill Description
arize-trace Export traces and spans by trace ID, span ID, or session ID. Debug LLM application issues.
arize-instrumentation Add Arize AX tracing to an app. Two-phase flow: analyze codebase, then implement instrumentation (uses Agent-Assisted Tracing).
arize-dataset Create, manage, and download datasets and examples.
arize-experiment Run and analyze experiments against datasets.
arize-evaluator Create LLM-as-judge evaluators, run evaluation tasks, and set up continuous monitoring.
arize-ai-provider-integration Create and manage LLM provider credentials (OpenAI, Anthropic, Azure, Bedrock, Vertex, and more).
arize-annotation Create and manage annotation configs (categorical, continuous, freeform); bulk-annotate project spans via the Python SDK.
arize-prompt-optimization Optimize prompts using trace data, experiments, and meta-prompting.
arize-prompts Manage Prompt Hub templates and versions with ax prompts (create, versions, labels).
arize-link Generate deep links to traces, spans, and sessions in the Arize UI.
arize-compliance-audit Audit an AI agent for regulatory compliance (EU AI Act, NIST AI RMF, GDPR, HIPAA). Produces a tailored remediation checklist.
arize-admin Manage organizations, spaces, roles, role bindings, resource restrictions, and API keys. Enterprise admin workflows: team onboarding, SAML/SSO role mapping, service key management, and access control.

[!WARNING] arize-compliance-audit is for guidance only and does not constitute legal advice or a complete compliance assessment. It identifies common technical patterns based on publicly available regulatory frameworks and cannot account for your organisation's specific legal obligations, contractual commitments, or operational context. Always consult a qualified attorney or compliance specialist for binding assessments.

Installer Flags

Bash (install.sh):

Flag Description
--project <dir> Required. Target project directory for skill symlinks
--global Install to ~/.<agent>/skills/ instead (alternative to --project)
--copy Copy files instead of symlinking
--force Overwrite existing skills
--skip-cli Don't install ax CLI even if missing
--agent <name> Manually specify agent (cursor, claude, codex, copilot) — repeatable
--skill <name> Only install/uninstall specific skills — repeatable (e.g. --skill arize-trace --skill arize-dataset)
--yes Skip confirmation prompts
--list List all available skills and exit
--uninstall Remove previously installed skill symlinks

PowerShell (install.ps1):

Flag Description
-Project <dir> Required. Target project directory for skill symlinks
-Global Install to ~/.<agent>/skills/ instead (alternative to -Project)
-Copy Copy files instead of symlinking
-Force Overwrite existing skills
-SkipCli Don't install ax CLI even if missing
-Agent <name> Manually specify agent (cursor, claude, codex, copilot) — repeatable
-Skill <name> Only install/uninstall specific skills — repeatable
-Yes Skip confirmation prompts
-Uninstall Remove previously installed skill symlinks
-List List all available skills and exit

Updating

  • npx path: npx skills update
  • git clone path: cd arize-skills && git pull (symlinks update automatically)

Testing Skills

tests/run_skill.py is an interactive test harness that runs a skill end-to-end using the Claude Agent SDK. It creates a temporary workspace, passes in your Arize credentials, and streams the agent's output.

Export the required environment variables before running:

export ARIZE_API_KEY="your-api-key"       # from https://app.arize.com/admin > API Keys
export ARIZE_SPACE="my-workspace"         # space name or base64 ID from ax spaces list
export TEST_PROJECT_NAME="my-project"     # optional: Arize project for trace tests
export TEST_MODEL="claude-sonnet-4-6"     # optional: Claude model override

Then run the harness:

python tests/run_skill.py --skill arize-trace --prompt "Export trace abc123"

[!WARNING] Configure .claude/settings.json before running the test harness

The test harness uses Claude Code's bypassPermissions mode, which skips all interactive approval prompts. This is safe because the agent runs in a sandboxed temporary workspace — but only if your settings.json has a denylist blocking dangerous shell commands.

Without this, bypassPermissions gives the agent unrestricted shell access.

Add the following to .claude/settings.json in this repo (create it if it doesn't exist):

{
  "permissions": {
    "deny": [
      "Bash(rm -rf*)",
      "Bash(curl*)",
      "Bash(wget*)",
      "Bash(ssh*)",
      "Bash(scp*)",
      "Bash(git push*)",
      "Bash(sudo*)",
      "Bash(chmod*)",
      "Bash(chown*)"
    ]
  }
}

Links

License

MIT