SuperBased provides OpenClaw agents with visual perception and manual desktop control through a suite of 72 MCP tools for capture, OCR, and GUI automation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install superbased
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install superbased using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
SuperBased is a powerful skill bundle designed to give Openclaw Skills both sensory input and physical agency within a desktop environment. It acts as the eyes and hands for AI agents, allowing them to capture screens, perform AI-driven vision analysis, and execute complex OCR tasks. Beyond simple perception, it enables full GUI automation, allowing agents to click, type, scroll, and drag just like a human user.
By integrating the SuperBased MCP server, developers can bridge the gap between LLM reasoning and local desktop execution. This skill is essential for workflows that require visual verification, interacting with legacy desktop applications, or automating multi-step UI processes that are not accessible via standard APIs.
To get started with SuperBased for Openclaw Skills, follow these steps:
# 1. Install this skills bundle from ClawHub
openclaw skills install superbased
# 2. Register the SuperBased MCP server
openclaw mcp set superbased '{"command":"superbased","args":["mcp"]}'
# 3. Install the SuperBased CLI globally
npm install -g superbased
Optional: Download the desktop app from superbased.app for a visual gallery and configuration interface.
SuperBased organizes its operations into specialized tool categories and manages local state via a dedicated directory.
| Category | Description | Key Tools |
|---|---|---|
| Capture | Screen and window image acquisition | superbased_screenshot, _window_list |
| AI & OCR | Visual reasoning and text extraction | superbased_ai, _ocr, _compress_text |
| GUI Automation | Humanized desktop interactions | _click, _type, _form_fill, _sequence |
| Recording | Visual QA and session history | _sessions, _diff, _baseline |
| Privacy | Security and redaction layers | superbased_redact, _annotate |
All session data and audit logs are stored locally in ~/.superbased/ for privacy and user auditing.
Loading
A professional-grade automated research tool that generates structured 10-dimension industry reports including price trends, supply chain mapping, and technical stock analysis.

An automated utility for managing XPComment metadata in image files using exiftool integration.

A professional Python-based skill for managing cloud and local video recordings from JFTech devices including playback, lists, and downloads.

A powerful local Model Context Protocol server that allows AI agents to manage Mailbird email accounts, folders, and messages directly.

A professional Python developer tool for managing JF security camera movements, presets, and privacy masking via official API endpoints.

A professional Python-based API tool for managing JF surveillance devices, enabling batch image capture and multi-protocol livestream retrieval.








































