#126

Global Rank · of 600 Skills

developing-genkit-dart AI Agent Skill

View Source: firebase/agent-skills

Critical

Installation

npx skills add firebase/agent-skills --skill developing-genkit-dart

21.9K

Installs

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 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).

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.

Installs

Installs 21.9K
Global Rank #126 of 600

Security Audit

ath Safe
socket Critical
Alerts: 1 Score: 77
snyk Low
zeroleaks Low
Score: 82
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How to use this skill

1

Install developing-genkit-dart by running npx skills add firebase/agent-skills --skill developing-genkit-dart in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.

2

No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.

3

The skill enhances your agent's understanding of developing-genkit-dart, helping it follow established patterns, avoid common mistakes, and produce production-ready output.

What you get

Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.

Compatibility

This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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