Arize-ai

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Arize Skills

Agent skills for Arize — datasets, experiments, and traces via the ax CLI

Revisar el código fuenteVer en GitHub
Precio sin confirmar★ 51 Estrellas de GitHubRegistro actualizado · 17 sept 2026observabilityLLMtracing

Resumen

A collection of AI agent skills for integrating Arize observability, tracing, and experiments into LLM applications.

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

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

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-skill
Ver texto original
# 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

Revisar el código fuente

Precio y costes de ejecución

Obtener el skill
Precio sin confirmar
Ejecutarlo
Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
Licencia
MIT
Precio sin confirmar
No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.

Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →

Estructura sin verificar

Publicar un repositorio no demuestra que sea un skill instalable. Revisa las instrucciones antes de proponer una instalación.

Revisar antes de instalar: Evitar instalación automática

Licencia: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 51 GitHub stars
  • Stars/forks activity: 51 stars, 10 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Abrir auditoría completa

Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

  1. 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
  2. 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
  3. 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente
Arize-ai/arize-skills
Licencia
MIT
Versión
1.0.0
Último push de GitHub
16 sept 2026
Registro actualizado
17 sept 2026
Ruta de instrucciones
Estructura sin verificar

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

75/100

Sólido

Confianza

67/100

Solo sandbox

Auditoría

81/100

Requiere revisión

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 51 GitHub stars
  • Stars/forks activity: 51 stars, 10 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Verified installs
—
Resultados
—

Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

Acceso para agentes

La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.

Más detalles
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Arize-ai
Indexado por
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