Extension To Functions Codebase logo

Extension To Functions Codebase

Organization
firebase
extension-to-functions-codebase

Skill for converting an installed Firebase Extension (or extension source) into a standalone Cloud Functions for Firebase codebase or publishable npm package, including V1 to V2 trigger upgrades, lifecycle hooks, and declarative security

Overview

Publisherfirebase
Repositoryagent-skills
Skill nameextension-to-functions-codebase
Stars
461
Forks
102
Bundled files
3
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by firebase on GitHub. Read the source before you install it.

Installation

Install the Extension To Functions Codebase AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/firebase/agent-skills/tree/main/skills/extension-to-functions-codebase
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/firebase/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/extension-to-functions-codebase .claude/skills/extension-to-functions-codebase
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Extension To Functions Codebase in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Extension To Functions Codebase on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Extension To Functions Codebase is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Extension to Functions Codebase & npm Package Migration

Overview

Migrates a Firebase Extension into either:

  1. A local Cloud Functions codebase (functions/src/ for app integration).
  2. A publishable npm package (reusable open-source package exporting V2 functions).

Leverages native Cloud Functions features (declarative IAM, Parameterized Config, SDK Lifecycle Hooks) and modernizes 1st Gen triggers to 2nd Gen using the Destructuring Compatibility Shim.


Target Migration Workflows

  • Target A: Local Functions Codebase (End-User App Integration)

    • Output: Code under functions/src/. Config in .env.
    • Deployment: firebase deploy --only functions.
  • Target B: Publishable npm Package / Shareable Package

    • Output: Reusable npm package exporting V2 functions.
    • Configuration: package.json specifying exports map, engines: { "node": ">=22" }, and peerDependencies: { "firebase-functions": ">=6.0.0" }.
    • Usage: Consumers install package and re-export functions in index.ts (export * from "<package-name>").

Core Rules & Constraints

1. Declarative IAM & APIs (Zero-Local-Overhead)

Use native SDK declarations instead of manual gcloud scripts or console instructions:

  • Use requiresRole("roles/...") for required GCP IAM permissions.
  • Use requiresAPI("service.googleapis.com", "Description") for Google APIs.

2. Global Parameter Access Restriction

  • Never call .value() at top-level module load scope.
  • Initialize global SDK instances inside onInit() or lazy getters:
    typescript
    import { defineString } from "firebase-functions/params";
    import { onInit } from "firebase-functions/v2";
    
    const dataset = defineString("DATASET_ID");
    let client: BigQuery;
    
    onInit(() => {
      client = new BigQuery({ datasetId: dataset.value() });
    });

3. V2 Concurrency & Cost Parity

V2 enables concurrency (up to 80 requests). To preserve V1 single-concurrency pricing, set cpu: "gcf_gen1".


Step-by-Step Migration Execution

Step 1: Inventory Extension Resources

  1. extension.yaml:
    • params → defineString, defineInt, defineBoolean, defineSecret.
    • apis → requiresAPI(...).
    • roles → requiresRole(...).
    • lifecycleEvents → afterFirstDeploy & afterRedeploy.
    • resources → Upgrade 1st Gen triggers to 2nd Gen (onDocumentWritten, onTaskDispatched, onRequest).
  2. Files & Scripts: Preserve devDependencies, test framework (jest), and test scripts.

Step 2: Configure package.json

  • Set name: "<package-name>", engines: { "node": ">=22" }.
  • Set peerDependencies:
    json
    "peerDependencies": {
      "firebase-admin": "^11.0.0 || ^12.0.0",
      "firebase-functions": ">=6.0.0"
    }
  • Configure exports map targeting ESM/CommonJS and TypeScript declarations (lib/index.js, lib/index.d.ts).

Step 3: Upgrade Triggers from V1 to V2

  • Firestore: Use onDocumentWritten from firebase-functions/v2/firestore.
  • Tasks: Use onTaskDispatched from firebase-functions/v2/tasks. Remove EXT_INSTANCE_ID when enqueueing tasks.
  • HTTP: Use onRequest from firebase-functions/v2/https.
  • Apply Destructuring Compatibility Shim ({ change, context }, { snapshot, context }) where legacy 1st Gen handlers expect (change, context).

Step 4: Convert Lifecycle Events

Map extension lifecycle events to SDK lifecycle hooks in src/index.ts:

  • onInstall → afterFirstDeploy({ task: { function: "initTask" } })
  • onUpdate / onConfigure → afterRedeploy({ task: { function: "setupTask" } })

Step 5: Package README & Export Instructions

Generate README.md containing:

  1. Installation instructions (npm install).
  2. Re-export snippet (export * from "<package-name>").
  3. Parameterized Configuration .env reference table.
  4. What Changed (Extension vs Package) comparison table.

Reminder: NEVER execute npm publish.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Extension To Functions Codebase AI skill do?

Skill for converting an installed Firebase Extension (or extension source) into a standalone Cloud Functions for Firebase codebase or publishable npm package, including V1 to V2 trigger upgrades, lifecycle hooks, and declarative security

Why use Extension To Functions Codebase on TypingMind?

Because you install it once and use it with any model. Extension To Functions Codebase is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Extension To Functions Codebase in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/firebase/agent-skills/tree/main/skills/extension-to-functions-codebase. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Extension To Functions Codebase?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Extension To Functions Codebase?

As many as you like. As long as a model supports skills, you can use Extension To Functions Codebase with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Extension To Functions Codebase AI skill free?

Yes. It is published on GitHub by firebase under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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