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Cursor Best Practices

Checked
siviter-xyz·vlatest·ai-ml·MIT

Ensures optimal cursor placement and interaction within applications, maximizing efficiency and reducing user fatigue.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add siviter-xyz/dot-agent --skill cursor-best-practices -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

siviter-xyz

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned siviter-xyz/dot-agent at 33762551d4.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
33762551d4
Manifest
skills/cursor-best-practices/SKILL.md
Scanned
7 files, 316 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The cursor-best-practices skill provides guidance on optimal usage of AI agents, focusing on efficiency, accuracy, and ethical considerations. It includes strategies for prompt engineering, resource management, and ensuring responsible AI interactions.

When to use it

  • When training new users on how to effectively interact with AI agents.
  • Before deploying an AI agent in a professional or public-facing setting.
  • When optimizing existing workflows that involve AI-assisted tasks.
  • To ensure compliance with ethical standards when using AI tools.

Key capabilities

  • Guidance on crafting clear and effective prompts.
  • Best practices for managing computational resources during AI interactions.
  • Ethical considerations for deploying AI agents in various contexts.
  • Tips for maintaining accuracy and reducing bias in AI outputs.

Example prompts

  • "How can I improve the clarity of my prompts to get better results from the AI agent?"
  • "What are some ethical guidelines I should follow when using an AI assistant in a customer service role?"
  • "Can you suggest ways to optimize performance when running multiple AI tasks simultaneously?"

Tips & gotchas

  • Always review and tailor best practices to your specific use case, as general advice may not apply universally.
  • Be mindful of the computational cost associated with complex or frequent AI interactions.