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Llvm Optimization

Checked
gmh5225·vlatest·backend·MIT

Analyzes and suggests LLVM optimization passes to improve code performance based on 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 gmh5225/awesome-llvm-security --skill llvm-optimization -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

gmh5225

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Install target

Live repository

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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.

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  • No credential access: passed

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  • Pinned to a commit: passed

    Scanned gmh5225/awesome-llvm-security at dad2f21a55.

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Commit
dad2f21a55
Manifest
.claude/skills/llvm-optimization/SKILL.md
Scanned
1 file, 327 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 leverages LLVM's optimization passes to improve the performance of code. It can analyze and transform existing code, reducing execution time and resource consumption through techniques like loop unrolling, function inlining, and dead code elimination. The skill aims to automatically apply these optimizations without requiring manual intervention from a developer.

When to use it

  • Performance bottlenecks: Identify slow functions or sections of code and optimize them for faster execution.
  • Resource-constrained environments: Reduce memory usage and improve efficiency in embedded systems or mobile applications.
  • Legacy code optimization: Improve the performance of older codebases without significant refactoring efforts.
  • Compiler plugin development: Integrate optimizations into custom compilers or build processes.

Key capabilities

  • Automatic code analysis
  • Loop unrolling
  • Function inlining
  • Dead code elimination
  • Performance profiling integration

Example prompts

  • "Optimize this C++ function for speed: [code snippet]"
  • "Can you reduce the memory footprint of this Rust program?"
  • "Profile and optimize this Python script."

Tips & gotchas

The effectiveness of LLVM optimization depends heavily on the code's structure. Complex or highly dynamic code may not benefit as much from automated optimizations, requiring manual tuning for best results.