Performance Profiling
CheckedAnalyzes code execution to identify performance bottlenecks and suggest optimizations using detailed resource usage metrics.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add lv416e/dotfiles --skill performance-profiling -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
lv416e
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.
Automated safety checks
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 lv416e/dotfiles at d182953f5e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- d182953f5e
- Scanned
- 1 file, 329 lines
About this skill
What it does
This skill provides tools and techniques to analyze and optimize the performance of code. It allows users to identify bottlenecks, measure execution time, and understand resource consumption within applications or scripts. The goal is to improve efficiency and responsiveness by pinpointing areas for targeted improvement.
When to use it
- Debugging slow scripts: Identify why a script takes longer than expected to complete.
- Optimizing code performance: Analyze existing code to find opportunities for speed improvements.
- Resource monitoring: Track memory usage, CPU load, and other resources during program execution.
- Profiling complex applications: Understand the behavior of large software systems by breaking down their performance characteristics.
Key capabilities
- Performance analysis
- Bottleneck identification
- Execution time measurement
- Resource consumption tracking
Example prompts
- "Profile this Python script and tell me where it's spending most of its time."
- "Analyze the CPU usage of my Node.js application during peak load."
- "Show me a breakdown of memory allocation in this Java program."
Tips & gotchas
The skill requires access to the code being profiled, so ensure appropriate permissions are granted to the AI agent. The results provided may require some expertise to interpret and translate into actionable optimization steps.