Performance Profiling

Name: Performance Profiling
Author: sickn33

Listed

sickn33·vlatest·testing·MIT

Identifies performance bottlenecks in code execution, suggesting optimizations based on resource usage and timing data.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add sickn33/agentic-awesome-skills --skill performance-profiling -a claude-code

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

sickn33

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 28 Sept 2026

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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: 5a4cdd9df8
Manifest: 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

The performance-profiling skill enables AI agents to analyze and optimize the efficiency of code or system processes. It identifies bottlenecks, resource usage patterns, and areas for improvement in applications or scripts.

When to use it

To identify slow-performing functions in a software application.
Before deploying an app to ensure optimal performance under load.
When troubleshooting unexpected spikes in CPU or memory usage.
During code refactoring to measure the impact of changes on system efficiency.

Key capabilities

Code execution time analysis
Memory and CPU usage tracking
Identification of inefficient algorithms
Generation of optimization recommendations

Example prompts

"Analyze this Python script for performance bottlenecks."
"Profile the memory usage of my web application under heavy load."
"Identify which functions are causing high latency in this codebase."

Tips & gotchas

Ensure that profiling tools have access to sufficient system resources.
Profiling may add overhead; use it selectively during testing rather than in production unless necessary.