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Developing Genkit Tooling

Official
firebase·vlatest·ai-ml·Apache-2.0

Develop GenKit tools rapidly with Firebase’s skill – accelerating app development and streamlining workflows for enhanced efficiency.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add genkit-ai/genkit --skill developing-genkit-tooling -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

firebase

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned firebase/genkit at b1a3fb3148.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
b1a3fb3148
Manifest
skills/developing-genkit-tooling/SKILL.md
Scanned
1 file, 105 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables developers to build and extend Genkit tools. It provides functionality for creating custom tooling, integrating with existing Genkit infrastructure, and contributing to the Genkit ecosystem. This allows for more specialized and powerful AI agent capabilities through customized tool development.

When to use it

  • You need to create a new tool that isn't available in the standard Genkit library.
  • You want to extend an existing Genkit tool with custom logic or features.
  • You are contributing to the Genkit project and developing new tooling for others to use.
  • You require highly specific functionality not easily achieved through general-purpose tools.

Key capabilities

  • Tool development
  • Genkit integration
  • Custom tooling creation
  • Ecosystem contribution

Example prompts

  • "Create a Genkit tool that summarizes articles from a given URL."
  • "Extend the existing 'search' tool to include results from a specific database."
  • "Develop a new Genkit tool for generating images based on text descriptions."

Tips & gotchas

Requires familiarity with Genkit’s architecture and development practices. Ensure your tooling adheres to Genkit standards for compatibility and maintainability within the ecosystem.