A powerful integration for managing computer vision projects, datasets, and image annotations directly through the Membrane ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install roboflow-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 roboflow-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 Roboflow Integration?
The Roboflow skill for Openclaw Skills provides a seamless bridge between AI agents and the Roboflow platform. It enables developers to programmatically interact with computer vision assets, including workspaces, projects, and versioned datasets, without the overhead of manual authentication plumbing.
By leveraging the Membrane CLI, this skill simplifies the complex tasks of labeling, training, and deploying custom models. It ensures that your AI coding agent can autonomously manage image recognition and object detection workflows while maintaining high security standards and efficient token usage.
Roboflow Integration Use Cases
- Automating the upload and management of image datasets for computer vision training.
- Programmatically retrieving project metadata and annotation groups within a specific workspace.
- Integrating custom object detection models into automated development pipelines.
- Performing bulk actions on Roboflow datasets via natural language intent searching.
- Creating headless automation for vision model deployment in CI/CD environments.
How Roboflow Integration Works
- The user installs the Membrane CLI to provide a standardized interface for Openclaw Skills.
- Authentication is handled via a secure tenant login that supports both interactive browser sessions and headless environments.
- A connection is established to the Roboflow domain, where Membrane manages the full OAuth or API key lifecycle.
- The agent uses natural language intent to search for specific Roboflow actions (e.g., list projects, get images).
- Actions are executed with JSON parameters, or direct proxy requests are made to the Roboflow API with automatic header injection.
Roboflow Integration Setup
Install the CLI
Install the Membrane CLI to enable Openclaw Skills functionality:
npm install -g @membranehq/cli@latest
Authenticate
Log in and specify your agent type (e.g., openclaw):
membrane login --tenant --clientName=openclaw
Connect to Roboflow
Establish a secure connection to your Roboflow account:
membrane connection ensure "https://roboflow.com/" --json
Roboflow Integration Data Schema & Taxonomy
The skill organizes Roboflow data based on the platform's hierarchical structure, accessible via JSON outputs:
| Level | Description |
|---|---|
| Workspace | The top-level container for teams and collaborative environments. |
| Project | Specific computer vision tasks (e.g., object detection, classification). |
| Dataset | Versioned collections of images and associated metadata. |
| Image | Individual data points containing visual information and labels. |
| Annotation Group | Clusters of labels and bounding boxes assigned to specific images. |
Roboflow Integration Advanced Features
- Natural Language Action Discovery: Find the right API tools using intent-based searching rather than static documentation.
- Automatic Credential Refresh: Membrane handles token expiry server-side, ensuring long-running automations never break.
- Direct API Proxying: Send custom requests to any Roboflow endpoint with
-Xand-dflags while Membrane injects security headers. - Long-polling Connection States: Built-in
--waitflags allow agents to wait for user authentication or background setup processes. - Multi-Agent Support: Tailor tooling output specifically for different harnesses like Claude, Windsurf, or Openclaw Skills.
SKILL.md
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