Arize-ai
@Arize-ai Organization
Public Skills
phoenix-design
by Arize-ai
BEM CSS naming conventions for the Phoenix frontend. Use when naming new CSS classes or className assignments in app/src/.
phoenix-cli
by Arize-ai
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, inspect datasets, and query the GraphQL API. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.
phoenix-github
by Arize-ai
Manage GitHub issues, labels, and project boards for the Arize-ai/phoenix repository. Use when filing roadmap issues, triaging bugs, applying labels, managing the Phoenix roadmap project board, or querying issue/project state via the GitHub CLI.
phoenix-skill-development
by Arize-ai
Develop, refine, and maintain skills in the skills/ directory. Use when creating a new skill, updating an existing skill, adding rule files, or improving skill quality and consistency.
typescript-tooling-migration
by Arize-ai
Migrate or upgrade TypeScript tooling in the Phoenix monorepo. Use when upgrading TypeScript versions, switching tools (ESLint to oxlint, Prettier to oxfmt), upgrading bundlers (Vite, esbuild), or making major dependency upgrades. Triggers on requests to migrate, upgrade, or replace TypeScript/JavaScript tooling.
vercel-react-best-practices
by Arize-ai
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
phoenix-playwright-tests
by Arize-ai
Write Playwright E2E tests for the Phoenix AI observability platform. Use when creating, updating, or debugging Playwright tests, or when the user asks about testing UI features, writing E2E tests, or automating browser interactions for Phoenix.
mintlify
by Arize-ai
Build and maintain documentation sites with Mintlify. Use when
phoenix-evals
by Arize-ai
Build and run evaluators for AI/LLM applications using Phoenix.
agent-browser
by Arize-ai
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
phoenix-tracing
by Arize-ai
OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.