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Three Best Practices

Checked
emalorenzo·vlatest·other

Identifies and prioritizes three key best practices for a given task based on industry standards and expert knowledge.

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 emalorenzo/three-agent-skills --skill three-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

emalorenzo

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 emalorenzo/three-agent-skills at f950f95ae3.

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

Scanned
29 files, 4,461 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

This skill provides three actionable best practices for improving efficiency and effectiveness when working with AI agents. It focuses on practical strategies such as setting clear objectives, refining prompts iteratively, and leveraging feedback loops to enhance performance over time.

When to use it

  • When you're new to using AI agents and want structured guidance to get the most out of them.
  • When your agent is underperforming or not delivering expected results consistently.
  • Before launching a project that involves multiple interactions with an AI agent.
  • When looking for ways to optimize workflows involving AI tools.

Key capabilities

  • Offers clear, actionable best practices.
  • Focuses on iterative refinement of prompts and objectives.
  • Encourages the use of feedback loops for continuous improvement.

Example prompts

  • "What are three best practices for improving my AI agent's performance?"
  • "How can I set clearer objectives when working with an AI agent?"
  • "Can you explain how to refine prompts effectively?"

Tips & gotchas

  • Apply these practices consistently across all interactions with your AI agent for the best results.
  • While the skill provides general guidance, specific use cases may require additional customization or domain-specific knowledge.