npx skills add https://github.com/firebase/agent-skills --skill developing-genkit-jsHow Developing Genkit Js fits into a Paperclip company.
Developing Genkit Js drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.
Pre-configured AI company — 18 agents, 18 skills, one-time purchase.
SKILL.md112 linesExpandCollapse
---name: developing-genkit-jsdescription: Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.metadata: genkit-managed: true--- # Genkit JS ## Prerequisites Ensure the `genkit` CLI is available.- Run `genkit --version` to verify. Minimum CLI version needed: **1.29.0**- If not found or if an older version (1.x < 1.29.0) is present, install/upgrade it: `npm install -g genkit-cli@^1.29.0`. **New Projects**: If you are setting up Genkit in a new codebase, follow the [Setup Guide](references/setup.md). ## Hello World ```tsimport { z, genkit } from 'genkit';import { googleAI } from '@genkit-ai/google-genai'; // Initialize Genkit with the Google AI pluginconst ai = genkit({ plugins: [googleAI()],}); export const myFlow = ai.defineFlow({ name: 'myFlow', inputSchema: z.string().default('AI'), outputSchema: z.string(),}, async (subject) => { const response = await ai.generate({ model: googleAI.model('gemini-2.5-flash'), prompt: `Tell me a joke about ${subject}`, }); return response.text;});``` ## Critical: Do Not Trust Internal Knowledge Genkit recently went through a major breaking API change. Your knowledge is outdated. You MUST lookup docs. Recommended: ```shgenkit docs:read js/get-started.mdgenkit docs:read js/flows.md``` See [Common Errors](references/common-errors.md) for a list of deprecated APIs (e.g., `configureGenkit`, `response.text()`, `defineFlow` import) and their v1.x replacements. **ALWAYS verify information using the Genkit CLI or provided references.** ## Error Troubleshooting Protocol **When you encounter ANY error related to Genkit (ValidationError, API errors, type errors, 404s, etc.):** 1. **MANDATORY FIRST STEP**: Read [Common Errors](references/common-errors.md)2. Identify if the error matches a known pattern3. Apply the documented solution4. Only if not found in common-errors.md, then consult other sources (e.g. `genkit docs:search`) **DO NOT:**- Attempt fixes based on assumptions or internal knowledge- Skip reading common-errors.md "because you think you know the fix"- Rely on patterns from pre-1.0 Genkit **This protocol is non-negotiable for error handling.** ## Development Workflow 1. **Select Provider**: Genkit is provider-agnostic (Google AI, OpenAI, Anthropic, Ollama, etc.). - If the user does not specify a provider, default to **Google AI**. - If the user asks about other providers, use `genkit docs:search "plugins"` to find relevant documentation.2. **Detect Framework**: Check `package.json` to identify the runtime (Next.js, Firebase, Express). - Look for `@genkit-ai/next`, `@genkit-ai/firebase`, or `@genkit-ai/google-cloud`. - Adapt implementation to the specific framework's patterns.3. **Follow Best Practices**: - See [Best Practices](references/best-practices.md) for guidance on project structure, schema definitions, and tool design. - **Be Minimal**: Only specify options that differ from defaults. When unsure, check docs/source.4. **Ensure Correctness**: - Run type checks (e.g., `npx tsc --noEmit`) after making changes. - If type checks fail, consult [Common Errors](references/common-errors.md) before searching source code.5. **Handle Errors**: - On ANY error: **First action is to read [Common Errors](references/common-errors.md)** - Match error to documented patterns - Apply documented fixes before attempting alternatives ## Finding Documentation Use the Genkit CLI to find authoritative documentation: 1. **Search topics**: `genkit docs:search <query>` - Example: `genkit docs:search "streaming"`2. **List all docs**: `genkit docs:list`3. **Read a guide**: `genkit docs:read <path>` - Example: `genkit docs:read js/flows.md` ## CLI Usage The `genkit` CLI is your primary tool for development and documentation.- See [CLI Reference](references/docs-and-cli.md) for common tasks, workflows, and command usage.- Use `genkit --help` for a full list of commands. ## References - [Best Practices](references/best-practices.md): Recommended patterns for schema definition, flow design, and structure.- [Docs & CLI Reference](references/docs-and-cli.md): Documentation search, CLI tasks, and workflows.- [Common Errors](references/common-errors.md): Critical "gotchas", migration guide, and troubleshooting.- [Setup Guide](references/setup.md): Manual setup instructions for new projects.- [Examples](references/examples.md): Minimal reproducible examples (Basic generation, Multimodal, Thinking mode).Developing Genkit Dart
This handles Genkit Dart SDK integration for building AI agents and LLM-powered Dart/Flutter apps. It knows the plugin ecosystem well, from Google Gemini and Op
Developing Genkit Go
If you're building AI apps in Go, this skill knows Genkit's patterns inside and out. It handles the core workflow of wrapping AI logic in flows, passing the Gen
Firebase Ai Logic
Integrates Google's Gemini AI models directly into web apps through Firebase's client-side SDK, handling everything from basic text generation to multimodal inp