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Performance Analysis

Checked
microck·vlatest·other

Helps with performance optimization, analysis as part of agent workflows workflows.

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 microck/ordinary-claude-skills --skill performance-analysis -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

microck

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

    Only contacts known or declared hosts: github.com.

    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.

    Hosts contacted

    github.comsource host

  • 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 microck/ordinary-claude-skills at 1056d293d4.

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

Commit
1056d293d4
Manifest
skills_all/performance-analysis/SKILL.md
Scanned
2 files, 544 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 analyzes the performance of a given system or process. It can identify bottlenecks, inefficiencies, and areas for optimization based on provided data or descriptions. The analysis includes identifying resource usage patterns and suggesting potential improvements to enhance overall speed and effectiveness.

When to use it

  • Debugging slow code: Provide the AI agent with snippets of code or a description of a process that is running slowly, and ask it to identify performance bottlenecks.
  • Optimizing database queries: Give the skill SQL query plans or descriptions of database operations and request suggestions for improving their efficiency.
  • Evaluating system resource usage: Describe a server's workload and have the AI agent analyze its CPU, memory, and I/O patterns to identify potential issues.
  • Improving application responsiveness: Provide details about user interactions and perceived delays within an application, requesting analysis and optimization suggestions.

Key capabilities

  • Bottleneck identification
  • Resource usage pattern analysis
  • Performance improvement suggestions
  • SQL query plan analysis (implied)

Example prompts

  • "Analyze this Python code snippet for performance bottlenecks: [code]"
  • "I'm seeing slow response times in my application. Can you analyze the user flow and suggest improvements?"
  • "Here is a SQL query plan. What can I do to optimize it?"

Tips & gotchas

The skill’s effectiveness depends on the quality and detail of the information provided; vague descriptions will yield less useful results. Providing specific metrics or data points will significantly improve the analysis.