Use when building AI agents in Dart, implementing Genkit flows or tools, integrating LLMs into Dart or Flutter applications, or using Genkit Dart plugins.
Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.
读取 https://funcoding.ai/skills/evanca/flutter-ai-rules/developing-genkit-dart/install.md ，按里面的步骤帮我安装这个 Skill。
Genkit Dart is an AI SDK for Dart that provides a unified interface for code generation, structured outputs, tools, flows, and AI agents.
If you need help with initializing Genkit (Genkit()), Generation (ai.generate), Tooling (ai.defineTool), Flows (ai.defineFlow), Embeddings (ai.embedMany), streaming, or calling remote flow endpoints, please load the core framework reference:
references/genkit.md
The Genkit CLI provides a local development UI for running Flow, tracing executions, playing with models, and evaluating outputs.
check if the user has it installed: genkit --version
Installation:
npm install -g genkit-cli # Via npm (preferred)
A native CLI installer is also documented at https://genkit.dev/docs/devtools — it pipes a remote script to bash, so run it yourself rather than having an agent execute it.
Usage:
Wrap your run command with genkit start to attach the Genkit developer UI and tracing:
genkit start -- dart run main.dart
Genkit relies on a large suite of plugins to perform generative AI actions, interface with external LLMs, or host web servers.
When asked to use any given plugin, always verify usage by referring to its corresponding reference below. You should load the reference when you need to know the specific initialization arguments, tools, models, and usage patterns for the plugin:
| Plugin Name | Reference Link | Description |
|---|---|---|
genkit_google_genai | references/genkit_google_genai.md | Load for Google Gemini plugin interface usage. |
genkit_anthropic | references/genkit_anthropic.md | Load for Anthropic plugin interface for Claude models. |
genkit_openai | references/genkit_openai.md | Load for OpenAI plugin interface for GPT models, Groq, and custom compatible endpoints. |
genkit_middleware | references/genkit_middleware.md | Load for Tooling for specific agentic behavior: filesystem, skills, and toolApproval interrupts. |
genkit_mcp | references/genkit_mcp.md | Load for Model Context Protocol integration (Server, Host, and Client capabilities). |
genkit_chrome | references/genkit_chrome.md | Load for Running Gemini Nano locally inside the Chrome browser using the Prompt API. |
genkit_shelf | references/genkit_shelf.md | Load for Integrating Genkit Flow actions over HTTP using Dart Shelf. |
genkit_firebase_ai | references/genkit_firebase_ai.md | Load for Firebase AI plugin interface (Gemini API via Vertex AI). |
Whenever you define schemas mapping inside of Tools, Flows, and Prompts, you must use the schemantic library.
To learn how to use schemantic, ensure you read references/schemantic.md for how to implement type safe generated Dart code. This is particularly relevant when you encounter symbols like @Schema(), SchemanticType, or classes with the $ prefix. Genkit Dart uses schemantic for all of its data models so it's a CRITICAL skill to understand for using Genkit Dart.
dart analyze before generating the final response.
anthropics/skills180kApplies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
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anthropics/skills180kA set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
AI & agents
anthropics/skills180kanthropics/skills180kGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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anthropics/skills180kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
AI & agents
anthropics/skills180kStop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.
AI & agents