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cursor-skills skill

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This skill helps you automate and manage enterprise coding workflows with automated review, PR analysis, and context-aware assistance.

npx playbooks add skill zpankz/mcp-skillset --skill cursor-skills

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SKILL.md

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---
name: cursor-skills
description: Cursor is an AI-powered code editor and development environment that combines intelligent coding assistance with enterprise-grade features and workflow automation. It extends beyond basic AI code comp...
license: Complete terms in LICENSE.txt
---

# Cursor Skills

Cursor is an AI-powered code editor and development environment that combines intelligent coding assistance with enterprise-grade features and workflow automation. It extends beyond basic AI code completion to provide comprehensive development tooling including automated code review, PR analysis, and deep integration capabilities.

The platform emphasizes enterprise readiness with features like MDM system integration, secure authentication, and advanced context management through its Memories system. It positions itself as a full-featured development environment rather than just an AI coding assistant, with particular strength in automation and team collaboration workflows.

## Core Capabilities

This skill provides specialized knowledge and workflows for:

- Automated code review and bug detection
- i18n key translation automation
- Pull request analysis and management
- Context-aware code assistance
- Enterprise development workflows
- Team collaboration and code sharing
- Automated development work delegation

## When to Use This Skill

Use this skill when:
- You need to work with cursor skills
- You're implementing features that involve these use cases
- You need guidance on best practices and patterns

## Ecosystem & Alternatives

**Category**: AI-powered Code Editor, Developer Productivity Platform, Enterprise Development Environment, Code Automation Tool

**Alternatives**:
- GitHub Copilot
- Visual Studio Code + AI extensions
- JetBrains AI Assistant
- Amazon CodeWhisperer
**Works well with**:
- GitHub
- Linear Issue Tracking
- Enterprise MDM Systems
- CI/CD Platforms

## Integration Patterns

### Common Patterns

- Browser-based authentication
- GitHub Actions integration
- Linear issue tracking integration
- CLI tool automation
- MDM system deployment
### Advanced Patterns

- Custom enterprise network configuration
- Memories Context Management
- Automated PR review workflows
- Security compliance integration
- Custom automation pipelines

## Best Practices

- Use browser-based authentication when possible
- Maintain project context using Memories system
- Implement automated code review processes
- Configure proper enterprise network settings
- Use keyboard shortcuts for efficiency
- Regular security configuration audits
- Leverage automated workflows for common tasks

### Common Pitfalls to Avoid

- Incorrect authentication configuration
- Loss of project context between sessions
- Missing enterprise network requirements
- Inefficient manual code review processes
- Improper API key management
- Inadequate security configurations
- Underutilization of automation features

## References

- [Official Documentation](https://cursor.com/docs)

### Reference Files

See the `references/` directory for:
- Complete API documentation
- Detailed examples
- Configuration guides

Overview

This skill captures practical knowledge and workflows for using Cursor, an AI-powered code editor and development environment focused on automation, enterprise readiness, and team collaboration. It highlights capabilities like automated code review, PR analysis, i18n automation, and context management through Memories. The content helps engineers and teams apply Cursor features effectively across development and CI/CD workflows.

How this skill works

The skill explains what Cursor inspects and automates: it analyzes code and pull requests, surfaces bugs and suggestions, and automates repetitive tasks like translations and review checks. It also covers integration points—authentication, GitHub/CI integration, MDM deployment, and how the Memories system preserves project context. Practical patterns and configuration guidance enable reliable automation and collaboration.

When to use it

When you want automated code review and PR analysis in your CI pipeline
When implementing i18n key translation automation across a codebase
When onboarding enterprise security, MDM, and authentication in a developer IDE
When you need to preserve project context across sessions using Memories
When building delegated automation for routine developer tasks and workflows

Best practices

Prefer browser-based authentication for secure, repeatable sign-in flows
Keep project context up to date using the Memories system to reduce context loss
Configure automated code review rules and integrate them into PR workflows
Enforce enterprise network and security settings early in project setup
Automate repetitive tasks (translations, linting, triage) to free developer time

Example use cases

Automatically run AI-driven code reviews on every PR and surface fix suggestions to reviewers
Translate and sync i18n keys across multiple languages as part of release automation
Use Memories to retain debugging context between sessions for long-running projects
Integrate Cursor checks into GitHub Actions to block merges on critical issues
Deploy Cursor with MDM and SSO to enforce enterprise access policies across the team

FAQ

How do I avoid losing context between sessions?

Persist and update project state in the Memories system and load relevant context at session start to keep AI assistance consistent.

What integrations are common with Cursor?

Common integrations include GitHub, CI/CD (GitHub Actions), issue trackers like Linear, and enterprise MDM/SSO providers.