genkit-ai skills
COMMUNITYLABSCO SUMMARY
developing-genkit-js covers Node.js and TypeScript: defining and running Genkit flows, prompts, generation, streaming, and tool calling, plus the errors and type issues that framework actually throws. developing-genkit-go and developing-genkit-python cover the identical territory in their own languages — agents, flows, tools, model providers, generation — and each is written to load when the user is already asking about Genkit or hitting a Genkit-specific error in that language. developing-genkit-dart is narrower in scope as well as language: its own description ties it to Flutter specifically, framing Genkit there as a way to add LLM calls into a Flutter app rather than a general-purpose Dart guide.
There's no fifth skill for what's common across all four languages — no shared explanation of what a flow is before the code — so a reader who knows Genkit in one language and wants a second has to read that language's whole skill rather than a difference list. This is for someone building an application with Genkit in one of these four languages specifically; it has nothing for Genkit's concepts independent of code, and nothing for a language Genkit might support beyond these four.
READ THE FULL ANALYSIS
What it costs to start. Three of the four need only a local tool already on the machine — the SDK or CLI for that language — and one needs an account or API key on top of it; our dependency data doesn't say which skill that is, and the README doesn't distinguish them either, so this summary doesn't guess.
WHAT'S INSIDE
4 showing · 4 totaldeveloping-genkit-dart
In a Dart or Flutter app, this is how the AI half gets built — from a single call to a model up to an assistant the app can hold a real conversation with.
developing-genkit-go
The Go half of an AI feature: the model call wrapped up as an ordinary Go function you can type-check, serve, test and trace like any other piece of the service.
developing-genkit-js
For Node.js and TypeScript, the AI side of an app — model calls, flows, agents — with one habit attached that the guide refuses to bend on: every error gets checked against the project's own current list of fixes rather than answered from memory.
developing-genkit-python
Genkit is a toolkit for putting AI models inside an application; this is its Python edition — how a flow is shaped, how a chat keeps its history, and which package each import actually comes from.
HOW TO GET IT
npx skills add genkit-ai/skillsnpx skills add genkit-ai/skills --skill <name> --full-depthPick the skill name from the Skills tab — each entry there installs independently.