Skip to content
TrustedSkillsbeta
Back to all skills

Optimizing Performance

Checked
rileyhilliard·vlatest·writing·MIT

Analyzes system logs and resource usage to suggest performance improvements and optimize application efficiency.

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 rileyhilliard/claude-essentials --skill optimizing-performance -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

rileyhilliard

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 rileyhilliard/claude-essentials at 3a67a01d33.

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

Scanned
1 file, 54 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 performance by analyzing text and suggesting improvements. It can help refine writing for clarity, conciseness, and impact. The skill aims to improve the quality of generated outputs through iterative refinement based on Claude's feedback.

When to use it

  • When you need to ensure AI-generated content is polished and professional before publication or sharing.
  • To improve the readability and comprehension of complex documents or reports.
  • For refining creative writing, such as marketing copy or storytelling elements.
  • To identify areas where an AI agent's output can be more concise and impactful.

Key capabilities

  • Text analysis for performance optimization
  • Suggestion generation for clarity and conciseness
  • Iterative refinement of generated outputs

Example prompts

  • "Optimize the following paragraph for readability: [insert text here]"
  • "Can you suggest improvements to make this email more concise? [insert email here]"
  • "Refine this marketing copy to be more impactful: [insert copy here]"

Tips & gotchas

The skill relies on Claude's understanding of language and context; complex or highly technical text may require additional human review. Experiment with different prompts to fine-tune the optimization process.