Skip to content
TrustedSkillsbeta
Back to all skills

Debug Optimized Builds

Checked
mohitmishra786·vlatest·testing·MIT

Automatically identifies and fixes build errors in optimized code to accelerate testing cycles.

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 mohitmishra786/low-level-dev-skills --skill debug-optimized-builds -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

mohitmishra786

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 mohitmishra786/low-level-dev-skills at bdc58472fa.

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

Scanned
1 file, 194 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 allows AI agents to debug and analyze optimized builds, identifying performance bottlenecks and potential errors. It can pinpoint issues related to compiler optimizations, assembly code inefficiencies, and memory management problems within a build process. The agent can then suggest or implement fixes for improved performance and stability.

When to use it

  • Analyzing slow compilation times during CI/CD pipelines.
  • Investigating crashes or unexpected behavior in production builds.
  • Identifying areas where compiler optimizations are negatively impacting performance.
  • Debugging issues related to specific code transformations performed by the compiler.

Key capabilities

  • Assembly Code Analysis
  • Compiler Optimization Debugging
  • Performance Bottleneck Identification
  • Memory Management Issue Detection

Example prompts

  • "Analyze this build log and identify any potential performance regressions."
  • "Debug the assembly code generated for this function; I suspect an optimization is causing issues."
  • "Can you find memory leaks in this optimized build?"

Tips & gotchas

This skill requires a good understanding of compiler principles and low-level programming concepts. The agent's suggestions should be carefully reviewed by experienced developers, as incorrect fixes can introduce new problems.