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Debug Like Expert

Checked
kyldvs·vlatest·testing·MIT

Analyzes code, identifies bugs, suggests fixes, and explains reasoning like a seasoned software debugging expert.

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 kyldvs/setup --skill debug-like-expert -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

kyldvs

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 kyldvs/setup at c9a0ecb004.

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

Commit
c9a0ecb004
Manifest
.claude/skills/debug-like-expert/SKILL.md
Scanned
6 files, 1,998 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 code and systems with expert precision. It can analyze error messages, identify root causes of issues, and suggest effective solutions. The skill aims to emulate the thought process of a seasoned debugger, providing detailed explanations along with proposed fixes.

When to use it

  • Troubleshooting complex software bugs where standard debugging techniques are insufficient.
  • Analyzing system logs to pinpoint performance bottlenecks or unexpected behavior.
  • Understanding and resolving errors in unfamiliar codebases.
  • Diagnosing issues reported by users that require deep technical investigation.

Key capabilities

  • Error message analysis
  • Root cause identification
  • Solution suggestion
  • Detailed explanation of debugging process

Example prompts

  • "Analyze this error message: 'TypeError: Cannot read property 'name' of undefined'. Explain the likely cause and suggest a fix."
  • "I'm seeing slow performance in my application. Can you analyze these system logs and identify potential bottlenecks?"
  • "This code is throwing an exception I don’t understand. Debug it step-by-step and explain what's happening."

Tips & gotchas

The skill performs best when provided with complete error messages or relevant code snippets. It may require additional context about the system being debugged for optimal results.