Which CLI is required to use the Arize Projects skill?

You must have the Arize AX CLI installed (pip install arize-ax-cli) and configured with your credentials using 'ax config init'.

How does the skill handle project names if I don't have the ID?

The skill includes a workflow to resolve names to IDs by listing projects and searching for matches, ensuring that subsequent commands use the correct system identifier.

Is there a way to delete projects without a confirmation prompt?

Yes, you can use the --force or -f flag with the delete command to skip interactive confirmation, which is useful for automation scripts.

What output formats are supported for project data?

You can export project information in Table, JSON, CSV, and Parquet formats, or save them directly to a file path for further analysis.

Can I use this skill to manage multiple Arize environments?

Yes, the skill supports the --profile option, allowing you to switch between different environment configurations like production, staging, or development.

Arize Project Manager

Name: Arize Project Manager
Author: Arize-ai

byArize-ai

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Analytics & Monitoring

Manages Arize AI projects directly through the ax CLI to streamline observability workflows and project lifecycles.

The Arize Projects skill empowers developers to manage their Arize AI platform workspaces using the ax command-line interface directly within Claude. It provides a comprehensive suite of commands to list projects across various spaces, resolve human-readable names to specific IDs, create new project environments, and perform cleanup tasks. By handling complex CLI syntax, pagination, and multi-profile configurations, this skill simplifies the organization of ML experiments and observability data, making it an essential tool for MLOps engineers and data scientists working with Arize.

Key Features

01Retrieve detailed project metadata in JSON, CSV, or Table formats

02Automatic resolution of project names to unique system IDs

03Create and delete projects with support for interactive or automated modes

048 GitHub stars

05Seamless switching between development, staging, and production profiles

06List and paginate through projects across multiple Arize spaces

Use Cases

01Quickly locating specific project IDs for ML observability tasks

02Automating project environment creation during model deployment workflows

03Auditing and removing legacy projects to maintain workspace hygiene

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add arize-ai/arize-claude-code-plugin arize-projects

For use in Claude.ai and ChatGPT

Download Skill