A robust data management skill that enables AI agents to perform CRUD operations on Clip records using secure, automated authentication.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clip-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 clip-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 Clip Integration?
Clip is a sophisticated data management platform designed for structured information storage and retrieval. This skill leverages the Membrane framework to provide AI agents with a seamless interface for interacting with Clip data. By utilizing Openclaw Skills, developers can bypass the complexities of manual OAuth handling and token refreshing, allowing agents to focus on high-level logic and data processing.
The integration provides a standardized way to discover and execute actions, ensuring that agents can adapt to new data structures dynamically. Whether you are building a research bot or a business automation tool, this skill provides the necessary plumbing to interact with Clip securely and efficiently.
Clip Integration Use Cases
- Automating the entry of structured data into Clip from unstructured sources.
- Synchronizing data between third-party applications and Clip databases.
- Providing AI agents with a persistent memory layer to store and retrieve user information.
- Generating automated reports by querying and listing Clip records via natural language.
How Clip Integration Works
- The Membrane CLI is initialized and authenticated within the agent environment to establish a secure communication channel.
- A connection is established to the Clip domain, triggering an automated authentication flow that handles credentials server-side.
- The agent polls the connection status to ensure it reaches a READY state before attempting data operations.
- Available capabilities are discovered by searching for actions based on natural language intent, such as "create record" or "list items."
- The agent executes the selected actions or performs direct proxy requests to the Clip API for custom data manipulation.
Clip Integration Setup
Install the required CLI and authenticate your environment to begin using this skill:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
membrane connection ensure "https://clip.mx/" --json
If in a headless environment, follow the printed URL to complete the browser-based authentication and return the code using:
membrane login complete <code>
Clip Integration Data Schema & Taxonomy
The skill organizes interaction around the Records entity and Membrane management metadata:
| Component | Type | Description |
|---|---|---|
| Records | Data Entity | The primary unit of storage in Clip; supports full CRUD operations. |
| Connections | Metadata | Managed state objects identifying authenticated access to the Clip API. |
| Actions | Function | Executable workflows with defined inputSchema and outputSchema for agent interaction. |
| Proxy Requests | API Access | Direct access to Clip endpoints with automatic header and URL normalization. |
Clip Integration Advanced Features
- Intelligent Action Discovery: Use natural language intents to find the correct API operation without reading documentation.
- Transparent Proxying: Send direct requests to Clip endpoints while the skill automatically handles base URLs and authentication injection.
- Headless Authentication: Optimized for server-side environments where interactive browser sessions are not possible.
- Automated Schema Mapping: Every action returns structured JSON schemas, making it easier for AI agents to parse and validate data.
- Resilient Connections: Built-in wait and poll mechanisms ensure the agent only proceeds when the data layer is fully operational.
SKILL.md
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