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Performance Profiling

Checked
tai-ch0802·vlatest·testing·MIT

Analyzes code performance bottlenecks and resource usage within applications using detailed profiling data.

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 tai-ch0802/skills-bundle --skill performance-profiling --full-depth -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

tai-ch0802

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 tai-ch0802/skills-bundle at 901ea3ae6e.

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

Commit
901ea3ae6e
Manifest
i18n/zh-TW/performance-profiling/SKILL.md
Scanned
2 files, 219 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 allows an AI agent to analyze and understand the performance characteristics of code or systems. It can identify bottlenecks, measure execution times, and provide insights into resource utilization. The goal is to help optimize applications for speed and efficiency by pinpointing areas needing improvement.

When to use it

  • Debugging slow processes: Use this skill when an AI agent needs to diagnose why a particular task or function is taking longer than expected.
  • Optimizing code performance: Employ the skill to identify inefficient sections of code that are impacting overall application speed.
  • Resource usage analysis: Determine where resources (CPU, memory) are being consumed excessively within a system.
  • Profiling complex workflows: Gain insights into the performance of intricate sequences of operations or automated tasks.

Key capabilities

  • Performance bottleneck identification
  • Execution time measurement
  • Resource utilization analysis

Example prompts

  • "Profile this Python script and tell me where it's slow."
  • "Analyze the CPU usage of my web server during peak hours."
  • "Identify memory leaks in this Java application."

Tips & gotchas

The skill requires access to system resources or code for analysis. The accuracy of results depends on the quality and completeness of the data provided.