A powerful integration skill that allows AI agents to interact with Supabase databases, authentication systems, and storage via the Membrane framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install supabase-integration
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install supabase-integration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Supabase Integration?
The Supabase skill for Openclaw Skills provides a streamlined interface for AI agents to manage backend-as-a-service features. By leveraging the Membrane CLI, this skill eliminates the complexity of manual authentication and credential refreshing, allowing your agent to focus on data manipulation and workflow automation. It serves as an essential bridge for developers using Openclaw Skills who need to perform CRUD operations, manage users, or interact with file buckets in a Supabase environment.
Built on the principle of efficiency, this integration ensures that security and connectivity are handled server-side. Whether you are building a coding assistant or a data automation bot, this skill provides a standardized way to access Supabase's open-source Firebase alternative capabilities without the overhead of managing local secrets or complex API headers.
Supabase Integration Use Cases
- Automating database record creation, updates, and deletions based on natural language commands.
- Managing user authentication states and retrieving user metadata for application support.
- Uploading, retrieving, or organizing files within Supabase Storage buckets.
- Syncing data between external platforms and a Supabase postgres database.
- Prototyping backend logic by allowing an AI agent to search and run pre-defined Supabase actions.
How Supabase Integration Works
- Installation: The agent or developer installs the Membrane CLI to provide the underlying communication layer.
- Authentication: The
membrane logincommand is used to establish a session, tailored to the specific agent type like openclaw. - Connection Establishment: A connection is created using the Supabase project URL, where Membrane handles the OAuth or API key handshake.
- Action Discovery: The agent uses natural language intent to search for specific Supabase actions (e.g., 'insert row') available on the connection.
- Execution: The agent runs the selected action or sends a proxied request, with Membrane automatically injecting the necessary auth headers and base URLs.
Supabase Integration Setup
First, ensure the Membrane CLI is installed globally:
npm install -g @membranehq/cli@latest
Authenticate your environment for Openclaw Skills:
membrane login --tenant --clientName=openclaw
Connect your specific Supabase instance:
membrane connection ensure "https://your-project.supabase.co" --json
Supabase Integration Data Schema & Taxonomy
The skill organizes Supabase resources into a hierarchical structure accessible via actions or proxy requests:
| Component | Description | Data Managed |
|---|---|---|
| Database | Postgres Engine | Tables, Rows, and Relationships |
| Authentication | GoTrue Service | Users, Sessions, and Metadata |
| Storage | File Storage | Buckets and Files |
All responses from the CLI include an output field containing the JSON data returned from the Supabase API.
Supabase Integration Advanced Features
- Automatic Credential Refresh: Transparently handles token expiration without interrupting the agent's workflow.
- Natural Language Intent Search: Find the right API capability by describing the goal instead of memorizing endpoint URLs.
- Transparent Proxying: Send raw requests to any Supabase endpoint using
membrane requestwhile maintaining automatic header injection. - Polled Connection States: Support for headless environments with long-polling via the
--waitflag to ensure connections are READY before execution. - Machine-Readable Output: Global
--jsonflag support for seamless parsing by AI agents and automated scripts.
SKILL.md
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