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Builds and deploys Firebase SQL Connect (aka Firebase Data Connect) backends with PostgreSQL securely. Use when designing schemas with tables and relations, writing authorized queries and mutations, configuring real-time data updates, or generating type-safe SDKs. Use when you ne
Builds and deploys Firebase SQL Connect (aka Firebase Data Connect) backends with PostgreSQL securely. Use when designing schemas with tables and relations, writing authorized queries and mutations, configuring real-time data updates, or generating type-safe SDKs. Use when you need a relational database with Firebase, or when the user mentions SQL Connect or Data Connect.
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Firebase SQL Connect is a relational database service using Cloud SQL for PostgreSQL with GraphQL schema, auto-generated queries/mutations, and type-safe SDKs.
[!NOTE] Product Rename: Firebase Data Connect was renamed to Firebase SQL Connect. All instructions, references, and examples in this skill repository referring to "Data Connect" or "Firebase Data Connect" apply to "SQL Connect" and "Firebase SQL Connect" as well.
dataconnect/
├── dataconnect.yaml # Service configuration
├── seed_data.gql # LOCAL ONLY — prototype/test data
├── schema/
│ └── schema.gql # Data model (types with @table)
└── connector/
├── connector.yaml # Connector config + SDK generation
├── queries.gql # Queries
└── mutations.gql # Mutations
Rely on these two mechanisms to ensure project correctness:
.dataconnect/schema/main/).npx -y firebase-tools@latest dataconnect:compile against the schema.Always default to Native GraphQL. Native SQL lacks type safety and bypasses schema-enforced structures. Only use Native SQL when the user explicitly requests it or when the task requires advanced database features.
| Strategy | When to use | Implementation |
|---|---|---|
| Native GraphQL (Default) | Almost all use cases. Standard CRUD, basic filtering/sorting, simple relational joins. Requires full type safety. | Auto-generated fields (movie_insert, movies). Strong typing and schema enforcement. |
| Native SQL (Advanced) | PostgreSQL extensions (e.g., PostGIS), window functions (RANK()), complex aggregations, or highly tuned sub-queries. | Raw SQL string literals via _select, _execute, etc. Requires strict positional parameters ($1). No type safety. |
Follow this strict workflow to build your application. You must read the linked reference files for each step to understand the syntax and available features.
schema/schema.gql)Define your GraphQL types, tables, and relationships (which map to a Postgres schema).
Read reference/schema.md for:
@table,@col,@default- Relationships (
@ref, one-to-many, many-to-many)- Data types (UUID, Vector, JSON, etc.)
connector/queries.gql, connector/mutations.gql)Write the queries and mutations your client will use, including authorization logic. SQL Connect is secure by default.
Read reference/operations.md for:
- Queries: Filtering (
where), Ordering (orderBy), Pagination (limit/offset).- Mutations: Create (
_insert), Update (_update), Delete (_delete).- Upserts: Use
_upsertto "insert or update" records (CRITICAL for user profiles).- Transactions: Use
@transactionfor multi-step atomic operations. Use_expr: "response.<prevStep>"to pass data between steps.Read reference/security.md for authorization:
@auth(level: ...)for PUBLIC, USER, or NO_ACCESS.@checkand@redactfor row-level security and validation.Read reference/realtime.md for real-time subscriptions:
@refreshdirective for time-based polling and event-driven updates.- CEL conditions to scope refresh triggers precisely.
Read reference/native_sql.md for Native SQL operations:
- Embedding raw SQL with
_select,_selectFirst,_execute- Strict rules for positional parameters (
$1,$2), quoting, and CTEs- Advanced PostgreSQL features (PostGIS, Window Functions)
Generate type-safe code for your client platform.
Configure SDK generation in connector.yaml:
connectorId: my-connector
generate:
javascriptSdk:
outputDir: "../web-app/src/lib/dataconnect"
package: "@movie-app/dataconnect"
kotlinSdk:
outputDir: "../android-app/app/src/main/kotlin/com/example/dataconnect"
package: "com.example.dataconnect"
swiftSdk:
outputDir: "../ios-app/DataConnect"
Generate SDKs:
npx -y firebase-tools@latest dataconnect:sdk:generate
For platform-specific instructions on how to use the generated SDKs, read:
If you need to implement a specific feature, consult the mapped reference file:
| Feature | Reference File | Key Concepts |
|---|---|---|
| Data Modeling | reference/schema.md | @table, @unique, @index, Relations |
| Vector Search | reference/search.md | Vector, @col(dataType: "vector"), embeddings |
| Full-Text Search | reference/search.md | @searchable, movies_search |
| Upserting Data | reference/operations.md | _upsert mutations |
| Complex Filters | reference/operations.md | _or, _and, _not, eq, contains |
| Transactions | reference/operations.md | , binding |
Read reference/config.md for deep dive on configuration.
Follow these patterns based on your current task:
npx -y firebase-tools@latest init dataconnect.npx -y firebase-tools@latest emulators:start --only dataconnect.seed_data.gql. Read
reference/data_seeding.md.npx -y firebase-tools@latest dataconnect:compile or
npx -y firebase-tools@latest dataconnect:sdk:generate to validate them.npx -y firebase-tools@latest deploy --only dataconnect.For complete, working code examples of schemas and operations, see examples.md.
For ready-to-use starter templates (CRUD, user-owned resources, many-to-many, YAML configs, SDK init), see templates.md.
name: firebase-data-connect description: Builds and deploys Firebase SQL Connect (aka Firebase Data Connect) backends with PostgreSQL securely. Use when designing schemas with tables and relations, writing authorized queries and mutations, configuring real-time data updates, or generating type-safe SDKs. Use when you need a relational database with Firebase, or when the user mentions SQL Connect or Data Connect. metadata: category: Databases
---
name: firebase-data-connect
description: Builds and deploys Firebase SQL Connect (aka Firebase Data Connect) backends with PostgreSQL securely. Use when designing schemas with tables and relations, writing authorized queries and mutations, configuring real-time data updates, or generating type-safe SDKs. Use when you need a relational database with Firebase, or when the user mentions SQL Connect or Data Connect.
metadata:
category: Databases
---
# Firebase SQL Connect
Firebase SQL Connect is a relational database service using Cloud SQL for
PostgreSQL with GraphQL schema, auto-generated queries/mutations, and type-safe
SDKs.
> [!NOTE] **Product Rename**: Firebase Data Connect was renamed to **Firebase
> SQL Connect**. All instructions, references, and examples in this skill
> repository referring to "Data Connect" or "Firebase Data Connect" apply to
> "SQL Connect" and "Firebase SQL Connect" as well.
## Project Structure
```text
dataconnect/
├── dataconnect.yaml # Service configuration
├── seed_data.gql # LOCAL ONLY — prototype/test data
├── schema/
│ └── schema.gql # Data model (types with @table)
└── connector/
├── connector.yaml # Connector config + SDK generation
├── queries.gql # Queries
└── mutations.gql # Mutations
```
## Key Tools for Validation
Rely on these two mechanisms to ensure project correctness:
1. **Review GraphQL Schema**: Both user-defined and generated extensions (in
`.dataconnect/schema/main/`).
1. **Validate Operations**: Run
`npx -y firebase-tools@latest dataconnect:compile` against the schema.
## Operation Strategies: GraphQL vs. Native SQL
Always default to **Native GraphQL**. **Native SQL lacks type safety** and
bypasses schema-enforced structures. Only use **Native SQL** when the user
explicitly requests it or when the task requires advanced database features.
| Strategy | When to use | Implementation |
| ---------------------------- | ---------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------- |
| **Native GraphQL** (Default) | Almost all use cases. Standard CRUD, basic filtering/sorting, simple relational joins. Requires full type safety. | Auto-generated fields (`movie_insert`, `movies`). Strong typing and schema enforcement. |
| **Native SQL** (Advanced) | PostgreSQL extensions (e.g., PostGIS), window functions (`RANK()`), complex aggregations, or highly tuned sub-queries. | Raw SQL string literals via `_select`, `_execute`, etc. Requires strict positional parameters (`$1`). No type safety. |
## Development Workflow
Follow this strict workflow to build your application. You **must** read the
linked reference files for each step to understand the syntax and available
features.
### 1. Define Data Model (`schema/schema.gql`)
Define your GraphQL types, tables, and relationships (which map to a Postgres
schema).
> **Read [reference/schema.md](reference/schema.md)** for:
>
> - `@table`, `@col`, `@default`
> - Relationships (`@ref`, one-to-many, many-to-many)
> - Data types (UUID, Vector, JSON, etc.)
### 2. Define Authorized Operations (`connector/queries.gql`, `connector/mutations.gql`)
Write the queries and mutations your client will use, including authorization
logic. SQL Connect is secure by default.
> **Read [reference/operations.md](reference/operations.md)** for:
>
> - **Queries**: Filtering (`where`), Ordering (`orderBy`), Pagination
> (`limit`/`offset`).
> - **Mutations**: Create (`_insert`), Update (`_update`), Delete (`_delete`).
> - **Upserts**: Use `_upsert` to "insert or update" records (CRITICAL for user
> profiles).
> - **Transactions**: Use `@transaction` for multi-step atomic operations. Use
> `_expr: "response.<prevStep>"` to pass data between steps.
>
> **Read [reference/security.md](reference/security.md)** for authorization:
>
> - `@auth(level: ...)` for PUBLIC, USER, or NO_ACCESS.
> - `@check` and `@redact` for row-level security and validation.
>
> **Read [reference/realtime.md](reference/realtime.md)** for real-time
> subscriptions:
>
> - `@refresh` directive for time-based polling and event-driven updates.
> - CEL conditions to scope refresh triggers precisely.
>
> **Read [reference/native_sql.md](reference/native_sql.md)** for Native SQL
> operations:
>
> - Embedding raw SQL with `_select`, `_selectFirst`, `_execute`
> - Strict rules for positional parameters (`$1`, `$2`), quoting, and CTEs
> - Advanced PostgreSQL features (PostGIS, Window Functions)
### 3. Use type-safe SDK in your apps
Generate type-safe code for your client platform.
Configure SDK generation in `connector.yaml`:
```yaml
connectorId: my-connector
generate:
javascriptSdk:
outputDir: "../web-app/src/lib/dataconnect"
package: "@movie-app/dataconnect"
kotlinSdk:
outputDir: "../android-app/app/src/main/kotlin/com/example/dataconnect"
package: "com.example.dataconnect"
swiftSdk:
outputDir: "../ios-app/DataConnect"
```
Generate SDKs:
```bash
npx -y firebase-tools@latest dataconnect:sdk:generate
```
For platform-specific instructions on how to use the generated SDKs, read:
- **Web (TypeScript)**: [reference/sdk_web.md](reference/sdk_web.md)
- **Android (Kotlin)**: [reference/sdk_android.md](reference/sdk_android.md)
- **iOS (Swift)**: [reference/sdk_ios.md](reference/sdk_ios.md)
- **Admin (Node.js)**:
[reference/sdk_admin_node.md](reference/sdk_admin_node.md)
- **Flutter (Dart)**: [reference/sdk_flutter.md](reference/sdk_flutter.md)
______________________________________________________________________
## Feature Capability Map
If you need to implement a specific feature, consult the mapped reference file:
| Feature | Reference File | Key Concepts |
| :------------------------------ | :----------------------------------------------------------- | :------------------------------------------------- |
| **Data Modeling** | [reference/schema.md](reference/schema.md) | `@table`, `@unique`, `@index`, Relations |
| **Vector Search** | [reference/search.md](reference/search.md) | `Vector`, `@col(dataType: "vector")`, embeddings |
| **Full-Text Search** | [reference/search.md](reference/search.md) | `@searchable`, `movies_search` |
| **Upserting Data** | [reference/operations.md](reference/operations.md) | `_upsert` mutations |
| **Complex Filters** | [reference/operations.md](reference/operations.md) | `_or`, `_and`, `_not`, `eq`, `contains` |
| **Transactions** | [reference/operations.md](reference/operations.md) | `@transaction`, `response` binding |
| **Environment Config** | [reference/config.md](reference/config.md) | `dataconnect.yaml`, `connector.yaml` |
| **Realtime Subscriptions** | [reference/realtime.md](reference/realtime.md) | `@refresh`, `subscribe()`, auto-refresh |
| **Cloud Functions Integration** | [reference/cloud_functions.md](reference/cloud_functions.md) | `onMutationExecuted`, triggering events |
| **Data Seeding & Migrations** | [reference/data_seeding.md](reference/data_seeding.md) | `seed_data.gql`, `_insertMany`, Admin SDK bulk |
| **Starter Templates** | [templates.md](templates.md) | CRUD, user-owned resources, many-to-many, SDK init |
______________________________________________________________________
## Deployment & CLI
> **Read [reference/config.md](reference/config.md)** for deep dive on
> configuration.
Follow these patterns based on your current task:
### How to initialize SQL Connect in a Firebase project
1. Understand the app idea. Ask clarification questions if unclear.
1. Run `npx -y firebase-tools@latest init dataconnect`.
1. Validate that the app template and generated SDK are setup.
### How to build apps using SQL Connect locally
1. Start the emulator:
`npx -y firebase-tools@latest emulators:start --only dataconnect`.
1. Write schema and operations.
1. Seed local test data into `seed_data.gql`. Read
[reference/data_seeding.md](reference/data_seeding.md#local-prototyping-data-seeding).
1. Run `npx -y firebase-tools@latest dataconnect:compile` or
`npx -y firebase-tools@latest dataconnect:sdk:generate` to validate them.
1. Use the operations in your app and build it.
### How to deploy SQL Connect to Cloud SQL
1. Run `npx -y firebase-tools@latest deploy --only dataconnect`.
## Examples
For complete, working code examples of schemas and operations, see
**[examples.md](examples.md)**.
For ready-to-use starter templates (CRUD, user-owned resources, many-to-many,
YAML configs, SDK init), see **[templates.md](templates.md)**.
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
73/100
Strong
Trust
69/100
Sandbox only
Audit
81/100
Needs review
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
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"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20firebase-data-connect%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20firebase-data-connect%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/firebase-firebase-data-connect/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/firebase-firebase-data-connect"
}
}Listing source
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@transactionresponse| Environment Config | reference/config.md | dataconnect.yaml, connector.yaml |
| Realtime Subscriptions | reference/realtime.md | @refresh, subscribe(), auto-refresh |
| Cloud Functions Integration | reference/cloud_functions.md | onMutationExecuted, triggering events |
| Data Seeding & Migrations | reference/data_seeding.md | seed_data.gql, _insertMany, Admin SDK bulk |
| Starter Templates | templates.md | CRUD, user-owned resources, many-to-many, SDK init |
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.