A comprehensive configuration expert for mastering Cursor IDE AI features, rule-based automation, and Agent mode workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cursor-rules
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-rules 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 IDE AI Expert?
The Cursor IDE AI Expert skill is designed to bridge the gap between standard coding and AI-augmented development. It provides deep technical knowledge on configuring the Cursor environment, focusing on the .cursorrules and MDC (Model Description Context) system. By utilizing this skill, developers can create project-specific instructions that guide the AI to follow specific architectural patterns and coding standards.
This skill empowers users to leverage Openclaw Skills within their local development environment, ensuring that the AI agent understands the project codebase semantically. From managing multi-file edits in Composer to integrating external tools via the Model Context Protocol (MCP), this skill provides the configuration foundation needed for high-performance AI programming.
Cursor IDE AI Expert Use Cases
- Automated project scaffolding using Agent mode and detailed prompts to create directory structures and base code.
- Large-scale codebase refactoring where the AI generates multi-file diffs based on specific architectural rules.
- Rapid bug resolution by feeding terminal error logs into the context-aware Chat for immediate diagnosis and repair.
- Context-rich learning of new repositories by using codebase semantic search to explain logic and dependencies.
- Systematic unit test generation for complex functions using targeted selection and inline AI editing.
How Cursor IDE AI Expert Works
- Initialize the project context by configuring MDC files within the .cursor/rules directory to define scope and triggers.
- Utilize the Chat interface (Cmd+L) with @ references to provide the AI with precise file or folder context.
- Open the Composer (Cmd+I) to execute multi-file changes, selecting between Normal mode for patches or Agent mode for autonomous tasks.
- Leverage AI Tab completion for real-time code predictions based on the active rule set and recent edits.
- Review AI-generated diffs and terminal commands before accepting changes to ensure project integrity.
Cursor IDE AI Expert Setup
To get started with this skill, organize your project rules using the recommended directory structure:
# Create the rules directory
mkdir -p .cursor/rules/
# Create a general coding standard rule
touch .cursor/rules/general.mdc
Ensure your .cursor/rules/*.mdc files include frontmatter with description, globs, and alwaysApply fields to help the AI understand when to apply specific Openclaw Skills logic.
Cursor IDE AI Expert Data Schema & Taxonomy
The skill organizes its configuration and logic using the following file structure and metadata fields:
| Component | Type | Description |
|---|---|---|
.cursor/rules/ |
Directory | The primary container for Markdown Description Context (MDC) rules. |
description |
Metadata | A string used by the AI to determine if a rule is relevant to the current task. |
globs |
Metadata | An array of file patterns (e.g., src/**/*.ts) that trigger the rule automatically. |
alwaysApply |
Boolean | If true, the rule is included in every AI interaction regardless of the file scope. |
.cursor/mcp.json |
JSON | Configuration file for connecting the AI to external MCP servers and tools. |
Cursor IDE AI Expert Advanced Features
- Agent Mode Autonomy: Enable the AI to independently create files, run terminal commands, and fix errors based on output logs.
- MCP Server Integration: Extend the agent's capabilities by connecting to external filesystems, GitHub APIs, or databases via mcp.json.
- Semantic Codebase Indexing: Use @codebase to perform high-level reasoning across the entire project structure.
- YOLO Mode: Configure the IDE to execute AI-suggested terminal commands automatically for a faster, hands-free workflow.
- Custom Rule Scoping: Fine-tune AI behavior using glob-based triggers to ensure the right rules apply to the right files.
SKILL.md
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