developing▌

Routing skill for all Streamlit development tasks: app creation, editing, debugging, styling, optimization, and deployment. \n \n Routes to specialized sub-skills based on task type: performance optimization, dashboard building, design improvement, widget selection, theming, layouts, data display, multi-page apps, session state, chat UI, custom components, and Snowflake integration \n Includes a workflow for locating Streamlit source files, identifying entry points ( streamlit_app.py , app.py ),

Build, configure, and deploy iOS applications using XcodeGen and Swift Package Manager.

Unified AI SDK for Dart enabling code generation, structured outputs, tools, flows, and agents. \n \n Provides core APIs for generation, tool definition, flow orchestration, embeddings, and streaming with a single interface \n Includes 8+ plugins for LLM providers (Google Gemini, Anthropic Claude, OpenAI GPT), Firebase AI, Model Context Protocol, Chrome browser integration, and HTTP server hosting via Shelf \n Built-in CLI with local development UI for flow execution, tracing, model experimentat

Ensure the genkit CLI is available.

Build AI-powered Node.js/TypeScript applications with Genkit flows, tools, and multi-model support. \n \n Genkit is provider-agnostic; supports Google AI, OpenAI, Anthropic, Ollama, and other LLM providers via plugins \n Define flows with type-safe schemas using Zod, execute generation requests, and compose multi-step AI workflows in TypeScript \n Requires Genkit CLI v1.29.0+; recent major API changes mean you must consult genkit docs:read and common-errors.md for current patterns, not prior kno