siviter-xyz/dot-agent

cursor-best-practices

Best practices for working with Cursor. Use when learning how to effectively use Cursor features or optimizing your workflow.

First seen Jan 20, 2026

Installation

$ npx skills add siviter-xyz/dot-agent --skill cursor-best-practices

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 21
License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,354 B
  • docs SUMMARY.md 1,326 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 629 installs

SKILL.md

Cursor Best Practices

Best practices for working with Cursor to maximize productivity and code quality.

Core Principles

  • Start with plans - Use Plan Mode (Shift+Tab) for complex tasks
  • Manage context effectively - Let agent find context, start new conversations when needed
  • Extend the agent - Use Rules for static context, Skills for dynamic capabilities
  • Review carefully - AI-generated code needs review like human code

Key Workflows

  • Test-driven development - Write tests first, iterate until passing
  • Codebase understanding - Use agent to explore and learn codebases
  • Git workflows - Automate common git operations with commands
  • Parallel agents - Run multiple agents simultaneously for comparison

References

For detailed guidance, see:

  • references/planning.md - Plan mode and starting with plans
  • references/context.md - Managing context and conversations
  • references/extending.md - Rules vs Skills, extending agent
  • references/workflows.md - TDD, codebase understanding, git workflows
  • references/reviewing.md - Code review strategies
  • references/parallel-agents.md - Running agents in parallel