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.jsonbefore running the test harnessThe test harness uses Claude Code's
bypassPermissionsmode, which skips all interactive approval prompts. This is safe because the agent runs in a sandboxed temporary workspace — but only if yoursettings.jsonhas a denylist blocking dangerous shell commands.Without this,
bypassPermissionsgives the agent unrestricted shell access.Add the following to
.claude/settings.jsonin 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
- Arize Documentation
- Arize REST API Reference
- ax CLI (arize-ax-cli)
- OpenInference Semantic Conventions
License
MIT
No comments yet
Be the first to share your take.