A powerful integration that enables OpenClaw to dispatch, monitor, and manage asynchronous AI coding agents directly on GitHub repositories.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cursor-cloud-agents
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 cursor-cloud-agents 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 Cursor Cloud Agents?
The Cursor Cloud Agents skill is a robust wrapper for the Cursor Cloud Agents HTTP API, allowing developers to extend their local environment into the cloud. By utilizing this addition to your Openclaw Skills library, you can delegate complex coding tasks—such as feature implementation, refactoring, and documentation—to autonomous agents that work directly on your GitHub repositories.
This skill is designed for developers who want to leverage their existing Cursor subscription for high-scale, asynchronous tasks without blocking their local IDE. It provides a comprehensive command-line interface to launch agents, track their progress in real-time, and manage the full lifecycle of AI-driven pull requests. Whether you are automating repetitive boilerplate or seeking a second pair of eyes on a complex module, these cloud agents provide a scalable solution for modern software engineering.
Cursor Cloud Agents Use Cases
- Launching long-running coding tasks that execute independently of your local machine.
- Automatically generating comprehensive test suites for new or existing GitHub repositories.
- Performing large-scale code refactoring across entire branches asynchronously.
- Reviewing and refining AI-generated code through iterative follow-up prompts and conversation history.
- Automating the creation of Pull Requests for documentation and JSDoc updates.
How Cursor Cloud Agents Works
- Authentication: The skill automatically detects your Cursor API key from environment variables or local config files.
- Dispatch: You launch a task by providing a repository path and a natural language prompt via the CLI.
- Initialization: The skill communicates with Cursor's cloud infrastructure to provision an agent on the specified GitHub branch.
- Execution: The agent analyzes the codebase, performs the requested changes, and maintains a conversation log of its actions.
- Monitoring: Use status and log commands to track progress or run the agent in background mode for multi-hour tasks.
- Integration: Upon completion, the agent can automatically open a PR, allowing you to review the changes in your standard Git workflow.
Cursor Cloud Agents Setup
To begin using this skill, ensure you have your Cursor API key from the Cursor IDE settings.
Add your key to the OpenClaw environment configuration:
echo "CURSOR_API_KEY=your_actual_key_here" >> ~/.openclaw/.env
Verify that the connection is active and check your subscription tier:
cursor-api.sh me
For improved productivity, you can enable shorthand aliases:
source scripts/cca-aliases.sh
Cursor Cloud Agents Data Schema & Taxonomy
The skill manages its state and data through a structured local file system and API response caching to ensure efficiency.
| Data Component | Storage Location | Description |
|---|---|---|
| Response Cache | ~/.cache/cursor-api/ |
Stores temporary metadata for agents and models with a 60s default TTL. |
| Background Logs | ~/.cache/cursor-api/background-tasks/ |
Contains execution history and status logs for tasks running in background mode. |
| Environment Config | ~/.openclaw/.env |
The primary storage for secure API credentials used by Openclaw Skills. |
Cursor Cloud Agents Advanced Features
- Background Task Management: Support for long-running operations with custom max runtimes up to 24 hours.
- Intelligent Rate Limiting: Built-in 1-second request throttling to prevent API abuse and 429 errors.
- Automated PR Creation: Capability to toggle automatic Pull Request generation on or off using the
--no-prflag. - Model Flexibility: Manually override default models to use specific LLMs like Claude-3 or GPT-4 for complex reasoning.
- Concurrent Agent Tracking: Monitor and manage account-level agent limits (Pro/Ultra tiers) directly from the command line.
SKILL.md
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