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Performance

Checked
zhiruifeng·vlatest·other·MIT

Analyzes user workflows to identify bottlenecks and suggest performance optimizations using data-driven insights.

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 zhiruifeng/localagentcrew --skill 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

zhiruifeng

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 zhiruifeng/localagentcrew at 00a039e359.

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

Commit
00a039e359
Manifest
.claude/skills/performance/SKILL.md
Scanned
1 file, 113 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, zhiruifeng-performance, enhances AI agent capabilities related to performance optimization. It allows agents to analyze and improve their own execution speed and resource utilization. The skill focuses on identifying bottlenecks and suggesting adjustments to enhance overall efficiency within an AI workflow.

When to use it

  • Slow Task Completion: When an AI agent is taking too long to complete tasks, this skill can help identify the cause.
  • Resource Constraints: If your system has limited resources (CPU, memory), this skill can suggest optimizations to reduce consumption.
  • Complex Workflows: For intricate workflows with multiple steps, use this skill to pinpoint performance bottlenecks and streamline processes.
  • Debugging Performance Issues: When an AI agent is experiencing unexpected slowdowns or errors related to resource usage.

Key capabilities

  • Performance analysis
  • Bottleneck identification
  • Resource utilization optimization
  • Execution speed enhancement

Example prompts

  • "Analyze the performance of my last task and suggest improvements."
  • "Identify any bottlenecks in this workflow: [workflow description]."
  • "How can I reduce the memory usage of my AI agent?"

Tips & gotchas

This skill is most effective when provided with detailed information about the AI agent's tasks and environment. Ensure sufficient logging or monitoring data is available for accurate performance analysis.