MCPInstall

developing-genkit-dart

Generates code and provides documentation for the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows, or integrate LLMs into Dart/Flutter applications.

Installs
62.2K
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Security
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/firebase/agent-skills --skill developing-genkit-dart
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads developing-genkit-dart automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·This skill provides documentation and code references for the Genkit Dart SDK, a development framework by Firebase/Google. It details the installation of the Genkit CLI and various plugins for integrating AI models. All external references and commands are standard for the framework's ecosystem.
Socket PassNo alerts
Snyk PassLOW ·Risk: LOW · No issues
Runlayer PassLOW ·2/11 files flagged
ZeroLeaks PassLOW ·1 finding · Score: 82/100

SKILL.md

The instructions your agent reads when the skill is triggered.

Genkit Dart

Genkit Dart is an AI SDK for Dart that provides a unified interface for code generation, structured outputs, tools, flows, and AI agents.

Core Features and Usage

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

Genkit CLI (recommended)

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:

curl -sL cli.genkit.dev | bash # Native CLI
# OR
npm install -g genkit-cli # Via npm

Usage: Wrap your run command with genkit start to attach the Genkit developer UI and tracing:

genkit start -- dart run main.dart

Plugin Ecosystem

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 NameReference LinkDescription
genkit_google_genaireferences/genkit_google_genai.mdLoad for Google Gemini plugin interface usage.
genkit_anthropicreferences/genkit_anthropic.mdLoad for Anthropic plugin interface for Claude models.
genkit_openaireferences/genkit_openai.mdLoad for OpenAI plugin interface for GPT models, Groq, and custom compatible endpoints.
genkit_middlewarereferences/genkit_middleware.mdLoad for Tooling for specific agentic behavior: filesystem, skills, and toolApproval interrupts.
genkit_mcpreferences/genkit_mcp.mdLoad for Model Context Protocol integration (Server, Host, and Client capabilities).
genkit_chromereferences/genkit_chrome.mdLoad for Running Gemini Nano locally inside the Chrome browser using the Prompt API.
genkit_shelfreferences/genkit_shelf.mdLoad for Integrating Genkit Flow actions over HTTP using Dart Shelf.
genkit_firebase_aireferences/genkit_firebase_ai.mdLoad for Firebase AI plugin interface (Gemini API via Vertex AI).

External Dependencies

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.

Best Practices

  • Always check that code cleanly compiles using dart analyze before generating the final response.
  • Always use the Genkit CLI for local development and debugging.

FAQ

What does the developing-genkit-dart skill do?

Generates code and provides documentation for the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows, or integrate LLMs into Dart/Flutter applications.

How do I install developing-genkit-dart?

Run npx skills add https://github.com/firebase/agent-skills --skill developing-genkit-dart in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/developing-genkit-dart/ (personal) or .claude/skills/developing-genkit-dart/ (project).

Which AI agents can use developing-genkit-dart?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is developing-genkit-dart safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed; Runlayer passed; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains developing-genkit-dart?

It is published by firebase in firebase/agent-skills, and it is an official skill from the maker of the technology it covers. It has 62,197 recorded installs.

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