A comprehensive integration for AI agents to manage computer vision projects, datasets, and image annotations via the Roboflow platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install roboflow
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 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?
This Roboflow skill provides a robust interface for AI agents to interact with computer vision workflows. By leveraging Openclaw Skills, developers can enable their agents to programmatically manage workspaces, projects, and datasets. The skill is built on top of the Membrane framework, which ensures that complex authentication and token refreshes are handled automatically, allowing the AI to focus on high-level vision tasks like object detection and image recognition.
Using this skill within the ecosystem of Openclaw Skills ensures a secure and standardized way to connect AI agents to Roboflow's powerful modeling tools. It streamlines the lifecycle of computer vision data, making it easier to label, train, and deploy models directly through agentic workflows without manual intervention in the Roboflow dashboard.
Roboflow Use Cases
- Automating the upload and organization of image datasets for training computer vision models.
- Programmatically retrieving project metadata and dataset versions for AI-driven analysis.
- Managing annotation groups and image labels within a secure Openclaw Skills environment.
- Bridging AI agents with specialized computer vision tasks like object detection and classification.
- Triggering model training or deployment workflows through structured agent commands.
How Roboflow Works
- The AI agent uses the Membrane CLI to establish a secure connection with the Roboflow API using Openclaw Skills.
- Authentication is handled via a managed tenant login, ensuring no sensitive API keys are stored locally.
- The agent discovers available capabilities by listing actions filtered by intent (e.g., querying for projects or datasets).
- Actions are executed with JSON parameters, and the skill handles all pagination and error mapping.
- For custom requirements, the agent can use the proxy request feature to communicate directly with any Roboflow endpoint while maintaining managed authentication.
Roboflow Setup
To get started with Roboflow and Openclaw Skills, first install the required CLI:
npm install -g @membranehq/cli
Login to your environment:
membrane login --tenant
Search for and connect the Roboflow connector:
membrane search roboflow --elementType=connector --json
# Use the ID from the output to connect
membrane connect --connectorId=CONNECTOR_ID
Roboflow Data Schema & Taxonomy
The skill organizes Roboflow data into a clear hierarchy accessible via Openclaw Skills. The following table describes the primary data objects:
| Level | Description |
|---|---|
| Workspace | The highest level containing team settings and multiple projects. |
| Project | Defines the type of vision task, such as object detection or classification. |
| Dataset | A versioned collection of images used for model training. |
| Image | Individual image files stored within a dataset. |
| Annotation Group | Metadata and label data associated with specific images. |
Roboflow Advanced Features
- Automatic credential management that handles token rotation server-side for Openclaw Skills.
- Intent-based action discovery to help agents find the most efficient way to perform a task.
- Direct API proxying with automatic header injection for advanced use cases.
- Structured input validation using JSON schemas for all Roboflow actions.
- Support for headless environment authentication using manual code completion.
SKILL.md
Loading
Related Openclaw Skills
Score
Score is a powerful CLI-based gaming toolkit designed to track results, manage leaderboards, and analyze player statistics through simple text-based logging.
Postiz CLI
A comprehensive social media automation CLI for scheduling, managing, and analyzing posts across 28+ platforms including X, LinkedIn, and TikTok.
Essay Humanizer
A specialized AI skill for refining machine-generated academic essays into human-like prose using corpus-informed stylistic weighting.
.NET Performance Diagnostics & Dump Analyzer
A comprehensive .NET diagnostic toolchain for analyzing CPU hotspots, memory leaks, and GC pressure across Windows, Linux, and macOS.
Long Article Illustration Assistant
An intelligent workflow tool that segments long-form text and generates matching AI illustrations to enhance content readability and aesthetic appeal.
Daiichi Sankyo Analysis Skill
A specialized research skill for analyzing Daiichi Sankyo's global pharmaceutical impact and revolutionary Antibody-Drug Conjugate (ADC) technology.
Featured*
