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evancaevanca/flutter-ai-rules/skills/developing-genkit-dart/SKILL.md

developing-genkit-dart

Skill669 starsChanged 3 months agoMITView on GitHub

Use when building AI agents in Dart, implementing Genkit flows or tools, integrating LLMs into Dart or Flutter applications, or using Genkit Dart plugins.

  • Installs packages

5 other projects use a version of this, 5 of them edited.

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The file

We split this skill into the rules it gives an agent

4 rules. 2 are common, 0 are distinctive, and 2 are very specific to this project.

  • 2

    Common

    Most of the 5 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If you need help with initializing Genkit (Genkit()), Generation (ai.generate), Tooling (ai.defineTool), Flows (ai.defineFlow), Embeddings …

    line 12
  2. Common:

    When asked to use any given plugin, always verify usage by referring to its corresponding reference below.

    line 36
  3. Very specific:

    Always check that code cleanly compiles using dart analyze before generating the final response.

    line 54
  4. Common:

    Always use the Genkit CLI for local development and debugging.

    line 55

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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:

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

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.

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