Skip to content
TrustedSkillsbeta
Back to all skills

Performance Profile

Checked
manastalukdar·vlatest·other·MIT

Analyzes task performance, identifies bottlenecks, and suggests optimizations based on resource usage and execution time.

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 manastalukdar/ai-devstudio --skill performance-profile -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

manastalukdar

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 manastalukdar/claude-devstudio at e457c1d3b5.

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

Commit
e457c1d3b5
Manifest
skills/performance-profile/SKILL.md
Scanned
1 file, 32 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

The performance-profile skill allows AI agents to analyze and generate performance profiles for code. It can identify bottlenecks, suggest optimizations, and provide insights into resource usage. This helps developers understand how their code performs and improve its efficiency.

When to use it

  • Debugging slow functions: Use the skill to pinpoint why a specific function is taking longer than expected.
  • Optimizing critical paths: Identify sections of code that significantly impact overall performance and focus optimization efforts there.
  • Resource usage analysis: Understand how much memory or CPU time different parts of your application consume.
  • Performance comparisons: Evaluate the impact of changes to code by comparing performance profiles before and after modifications.

Key capabilities

  • Code Analysis: Analyzes provided code snippets for performance characteristics.
  • Bottleneck Identification: Identifies potential bottlenecks in code execution.
  • Optimization Suggestions: Provides recommendations for improving code efficiency.
  • Resource Usage Reporting: Reports on resource consumption (e.g., memory, CPU).

Example prompts

  • "Analyze the following Python function and identify any performance bottlenecks: [code snippet]"
  • "Generate a performance profile for this JavaScript code and suggest optimizations."
  • "How can I improve the efficiency of this C++ algorithm?"

Tips & gotchas

The skill's effectiveness depends on providing clear, concise code snippets. Complex or obfuscated code may yield less accurate results.