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Command Optimization

Checked
89jobrien·vlatest·other

Refines complex user commands into efficient, executable steps, minimizing errors and maximizing task completion success.

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 89jobrien/steve --skill command-optimization -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

89jobrien

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 89jobrien/steve at c0ff044bf0.

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

Scanned
2 files, 367 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 optimizes commands provided to an AI agent, aiming to improve efficiency and accuracy. It refines input by removing unnecessary words or phrases and restructuring sentences for clarity. The goal is to ensure the AI understands the intended task precisely, leading to better results with fewer resources.

When to use it

  • Complex requests: Use when you're unsure if your command is being fully understood by the agent due to its complexity.
  • Resource-intensive tasks: Optimize commands for tasks that consume significant processing power or time.
  • Iterative refinement: Employ this skill during a process of refining prompts and observing AI output.
  • Long, verbose instructions: When providing lengthy instructions, use it to ensure the core intent is clear.

Key capabilities

  • Removes unnecessary words and phrases
  • Restructures sentences for clarity
  • Improves command efficiency
  • Enhances accuracy of AI understanding

Example prompts

  • "Optimize this command: 'Please find all documents related to project alpha and summarize the key findings.'"
  • "Can you refine this prompt for better results? 'Write a short story about a cat who goes on an adventure.'"
  • "Improve the following instruction: 'I want you to create a presentation that includes data from last quarter, with charts and graphs.'"

Tips & gotchas

The effectiveness of command optimization depends on the initial clarity of the prompt. While it can improve existing commands, poorly worded or ambiguous requests may still yield suboptimal results after refinement.