Major changes:3#6
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This pull request introduces comprehensive documentation for the Genkit Dart SDK and its plugin ecosystem, providing detailed usage guides, code examples, and best practices for developing AI agents in Dart and integrating with various Genkit plugins. The changes are organized as Markdown files, each focusing on a specific aspect or plugin of the Genkit Dart ecosystem.
The most important changes are:
Core SDK Documentation:
.agents/skills/developing-genkit-dart/SKILL.md, a high-level overview of Genkit Dart, its core features, CLI usage, plugin references, dependencies (notablyschemantic), and best practices for development..agents/skills/developing-genkit-dart/references/genkit.md, an in-depth guide to the Genkit Dart core framework, covering initialization, text generation, streaming, embeddings, tool and flow definitions, remote flow invocation (Dart & JS), and data models with practical code samples.Plugin Reference Documentation:
genkit_google_genai): text, embeddings, image generation, and TTS flows.genkit_anthropic): Claude model usage and "thinking" model configuration.genkit_chrome): Running Gemini Nano locally in Chrome.genkit_firebase_ai): Using Gemini APIs via Firebase.genkit_mcp): Model Context Protocol integration as host, client, and server, including tool/resource sharing and streamable HTTP transport.genkit_middleware): Filesystem, skills, and tool approval middleware for agentic workflows.