What problem does it solve?
Adding a new framework integration to the Phoenix project onboarding UI requires writing correct install and implementation snippets for Python and TypeScript, testing them against a live Phoenix instance, and registering them in the React codebase. This Skill standardizes that entire workflow so snippets work verbatim for end users.
Core Features & Use Cases
- Snippet Generation: Produces install package lists and 10-20 line implementation snippets for SDKs like OpenAI, LangChain, and Vercel AI SDK in Python and TypeScript.
- UI Registration: Guides adding implementation functions to
js/app/src/components/project/integrationSnippets/ and registering entries in integrationRegistry.tsx.
- Verification Workflow: Enforces isolated per-integration test environments, fresh Phoenix project names, and trace validation checklists before wiring into the UI.
- Use Case: When adding onboarding support for a new framework like Mastra, use this Skill to research the OpenInference repo, generate the snippets, confirm traces appear in Phoenix, and register the integration.
Quick Start
Generate Phoenix onboarding snippets for the LangChain integration, test them against a local Phoenix instance, and wire them into the project onboarding UI.