cursor-cli

What This Skill Does

The cursor-cli skill provides a seamless bridge between your OpenClaw agent and the Cursor CLI environment. By leveraging this tool, you can invoke Cursor’s advanced AI reasoning engine directly from your terminal workspace. This skill is specifically designed to handle requests that require deep context about your local codebase, enabling you to get high-quality code explanations, debugging assistance, or architectural reviews without leaving the OpenClaw environment. It executes commands non-interactively, capturing the agent's stdout and piping it back to you as a coherent, readable response.

Installation

To integrate the Cursor CLI capability into your OpenClaw setup, run the following command in your terminal:

clawhub install openclaw/skills/skills/pyavchik/cursor-cli

Ensure that you have the Cursor CLI (the agent binary) installed and reachable in your system PATH before attempting to use the skill, as OpenClaw relies on this underlying binary to interface with the AI.

Use Cases

This skill is perfect for complex development tasks where the AI needs to be 'code-aware.'

• Debugging: Paste error logs and ask Cursor to suggest fixes based on the surrounding file structure.
• Code Reviews: Request a security or performance audit on a specific module within your project directory.
• Learning: Ask for conceptual explanations of complex features in your codebase, such as "How does our authentication middleware handle session tokens?"
• Refactoring: Get suggestions on how to modularize a specific class or function based on clean code principles.

Example Prompts

1. "Ask Cursor CLI: why is my React component re-rendering twice when the state hasn't changed?"
2. "Use Cursor agent to review the code in ~/projects/backend for potential SQL injection vulnerabilities."
3. "Run cursor agent on this: provide a step-by-step plan to migrate this repository from Javascript to Typescript."

Tips & Limitations

• Timeouts: Cursor CLI performs deep analysis and can take up to 120 seconds for large codebases. Please be patient and allow the request to complete.
• Context awareness: Always specify the target directory if you are working outside the default workspace. Using the cd command in combination with the agent call ensures the AI is looking at the correct files.
• Output Format: The skill defaults to text output. If you are integrating this into a programmatic pipeline, ensure your Cursor installation is configured to handle the --output-format text flag correctly.
• Read-Only Mode: If you just want an explanation without the agent modifying your code, always prefer the --mode=ask flag to maintain system safety.