Agent skill · software engineering · aiskillstore
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.
Why this skill is useful
Adds executable scripts and specific usage patterns for the Genkit Dart SDK that the AI wouldn't reliably generate on its own.
What it needs
Requires genkit-cli installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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: Usage: Wrap your run command with genkit start to attach the Genkit developer UI and tracing: 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 ---- ---- ---- genkitgooglegenai references/genkitgooglegenai.md Load for Google Gemini plugin interface usage. genkitanthropic references/genkitanthropic.md Load for Anthropic plugin interface for Claude models. genkitopenai references/genkitopenai.md Load for OpenAI plugin interface for GPT models, Groq, and custom compatible endpoints. genkitmiddleware references/genkitmiddleware.md Load for Tooling for specific agentic behavior: filesystem, skills, and toolApproval interrupts. genkitmcp references/genkitmcp.md Load for Model Context Protocol integration (Server, Host, and Client capabilities). genkitchrome references/genkitchrome.md Load for Running Gemini Nano locally inside the Chrome browser using the Prompt API. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/developing-genkit-dart