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Performance Profiling

Listed
dokhacgiakhoa·vlatest·testing

Analyzes application performance bottlenecks and resource usage to optimize efficiency through detailed profiling reports.

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 dokhacgiakhoa/agent-skills-4-vibe-coding-cli --skill performance-profiling -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

dokhacgiakhoa

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 dokhacgiakhoa/antigravity-ide at c4a059bbf7.

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

Commit
c4a059bbf7
Manifest
.agent/skills/performance-profiling/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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 provides performance profiling capabilities for AI agents. It allows users to identify bottlenecks and areas of inefficiency in agent execution, providing insights into resource usage and optimization opportunities. The tool facilitates detailed analysis of code segments and function calls to pinpoint performance issues.

When to use it

  • Debugging slow agent responses: Use this skill when an AI agent is taking too long to complete tasks or respond to user requests.
  • Optimizing resource consumption: Employ the skill to identify areas where an agent is consuming excessive CPU, memory, or other resources.
  • Analyzing complex workflows: Leverage profiling to understand the performance characteristics of intricate agent processes and pinpoint inefficiencies within them.
  • Improving overall agent efficiency: Regularly profile your agents to proactively identify and address potential performance degradation over time.

Key capabilities

  • Code segment analysis
  • Function call tracing
  • Resource usage monitoring (CPU, memory)
  • Bottleneck identification

Example prompts

  • "Profile the execution of my chatbot's response generation."
  • "Show me a breakdown of resource consumption during the agent’s data processing stage."
  • "Identify performance bottlenecks in the image recognition module."

Tips & gotchas

The skill requires access to the AI agent's runtime environment and code. Ensure appropriate permissions are granted before initiating profiling sessions for accurate results.