Firebase Firestore logo

Firebase Firestore

Organization
firebase
firebase-firestore

Sets up, manages, queries, and configures Cloud Firestore databases (Standard/Enterprise edition), including data modeling, security rules, indexes, and SDK integrations (Web, Python, iOS, Android, Flutter). Use when creating/listing Firestore databases, defining data models/indexes, writing SDK queries, or integrating Firestore SDKs. For authoring or modifying Firestore Security Rules (firestore.rules), delegate to the firestore-rules-author subagent if subagent delegation is available, or use firestore-rules-creation otherwise. Don't use for Firebase Hosting, Data Connect, Auth, Storage/GCS, Crashlytics, Functions, or BigQuery.

Overview

Publisherfirebase
Repositoryagent-skills
Skill namefirebase-firestore
Stars
461
Forks
102
Bundled files
14
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.

  • 14 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 Firebase Firestore 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/firebase-firestore
  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/firebase-firestore .claude/skills/firebase-firestore
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firebase Firestore 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 Firebase Firestore 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 Firebase Firestore 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.

Cloud Firestore Database and Operations

[!IMPORTANT] Security Rules Authoring (firestore.rules) Whenever your task requires creating, authoring, or modifying firestore.rules:

  • If subagent delegation AND the firestore-rules-author subagent are available: delegate authoring firestore.rules to the firestore-rules-author subagent rather than writing firestore.rules directly in the main agent.
  • If subagent delegation is unavailable (e.g., subagents not enabled in the IDE) OR firestore-rules-author is not installed: read and follow the firestore-rules-creation skill to write firestore.rules directly.

Before setting up dependencies, writing data models, or configuring security rules, you MUST always identify the Firestore instance edition.

1. Instance Selection and Edition Detection

Run the following command to list current Firestore databases:

bash
npx -y firebase-tools@latest firestore:databases:list

A. Instance Found

  1. For each database found, inspect its edition and details:

    bash
    npx -y firebase-tools@latest firestore:databases:get <database-id>
  2. Ask the user which database instance they wish to target or if they would prefer to create a new instance.

  3. Once the target instance is established:

    • If the edition is STANDARD, follow the guides under references/standard/.
    • If the edition is ENTERPRISE or native mode, follow the guides under references/enterprise/.

B. No Instance Found (or New Requested)

If no databases exist or the user requests a new one, default to provisioning an Enterprise edition database and ask the user what location to use. Run npx -y firebase-tools@latest firestore:locations to get the list of options. Suggest colocating with other resources if applicable.

Once the location is determined, create the database:

bash
npx -y firebase-tools@latest firestore:databases:create <database-id> --edition="enterprise" --location="<selected-location>"

Proceed with using the guides under references/enterprise/.


2. Specialized Guides

Based on the identified or created instance edition, open and read the corresponding reference guides:

Standard Edition (references/standard/)

Enterprise Edition / Native Mode (references/enterprise/)

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 Firebase Firestore AI skill do?

Sets up, manages, queries, and configures Cloud Firestore databases (Standard/Enterprise edition), including data modeling, security rules, indexes, and SDK integrations (Web, Python, iOS, Android, Flutter). Use when creating/listing Firestore databases, defining data models/indexes, writing SDK queries, or integrating Firestore SDKs. For authoring or modifying Firestore Security Rules (firestore.rules), delegate to the firestore-rules-author subagent if subagent delegation is available, or use firestore-rules-creation otherwise. Don't use for Firebase Hosting, Data Connect, Auth, Storage/G...

Why use Firebase Firestore on TypingMind?

Because you install it once and use it with any model. Firebase Firestore 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 Firebase Firestore in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/firebase/agent-skills/tree/main/skills/firebase-firestore. 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 Firebase Firestore?

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 Firebase Firestore?

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

Is the Firebase Firestore 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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