Phoenix Frontend logo

Phoenix Frontend

OrganizationPopular
Arize-ai
phoenix-frontend

Frontend development guidelines for the Phoenix AI observability platform. Use when writing, reviewing, or modifying React components, TypeScript code, styles, or UI features in the js/app/ directory. Triggers on any frontend task — new components, UI changes, styling, accessibility fixes, form handling, or component refactoring. Also use when the user asks about frontend conventions or component patterns for this project. For design system rules (error display, layout, dialogs, tokens), use the phoenix-design skill.

Overview

PublisherArize-ai
Repositoryphoenix
Skill namephoenix-frontend
Stars
11.8K
Forks
1.2K
Bundled files
6
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Arize-ai on GitHub. Read the source before you install it.

Installation

Install the Phoenix Frontend AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-frontend
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Arize-ai/phoenix.git /tmp/phoenix
mkdir -p .claude/skills
cp -r /tmp/phoenix/.agents/skills/phoenix-frontend .claude/skills/phoenix-frontend
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Phoenix Frontend in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Phoenix Frontend on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Phoenix Frontend is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Phoenix Frontend Development

Composable rules for building UI in the Phoenix app. Before starting work, explore js/app/src/components/ and js/app/package.json to understand existing patterns, packages, and conventions — then follow these rules.

Reference Files

Read the relevant file(s) based on the task:

ReferenceWhen to read
references/components.mdCreating, composing, or refactoring components
references/relay.mdUsing Relay
references/accessibility.mdAny interactive element, form, overlay, or semantic markup
references/test-ids.mdAdding or changing data-testid attributes for E2E tests
references/resize-svg-logo-assets.mdAdding or updating provider/integration logo icons

Storybook

For any change to js/app/stories/ or js/app/.storybook/ — including stories that accompany a component change — use the phoenix-storybook skill.

PXI data changes

When a PXI write changes the membership or filters of a mounted Relay query, use useAgentDataChangeFetchKey from @phoenix/hooks in the query owner. See references/relay.md for the event and fetch policy convention.

Verification

After visual changes, use the available browser tooling to verify the UI looks correct. When modifying a shared component, check its usages across the app.

Route Metadata

When adding, removing, renaming, or materially changing what a page contains, update the route's handle.agentRoute metadata in js/app/src/Routes.tsx if an assistant agent should be able to link users to that destination. Keep metadata small and search-oriented:

  • label: human page name.
  • description: concise page purpose based on what the page now contains, including user phrases PXI might hear when looking for that page.

If a content change makes an existing route easier or harder to find by natural language, adjust description in the same change.

URL State

Significant view state must be recreatable from the URL. If a user can select a tab, sub-view, or detail state that should survive reloads, sharing, or adjacent-record pagination, encode it in route params or search params and preserve the relevant URL state during navigation.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Phoenix Frontend AI skill do?

Frontend development guidelines for the Phoenix AI observability platform. Use when writing, reviewing, or modifying React components, TypeScript code, styles, or UI features in the js/app/ directory. Triggers on any frontend task — new components, UI changes, styling, accessibility fixes, form handling, or component refactoring. Also use when the user asks about frontend conventions or component patterns for this project. For design system rules (error display, layout, dialogs, tokens), use the phoenix-design skill.

Why use Phoenix Frontend on TypingMind?

Because you install it once and use it with any model. Phoenix Frontend is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Phoenix Frontend in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/phoenix-frontend. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Phoenix Frontend?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Phoenix Frontend?

As many as you like. As long as a model supports skills, you can use Phoenix Frontend with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Phoenix Frontend AI skill free?

It is published on GitHub by Arize-ai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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