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Systematic Debugging

Checked
lgbarn·vlatest·testing·MIT

Systematically identifies and isolates software bugs using LGBarn's advanced analysis and automated debugging techniques.

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 lgbarn/devops-skills --skill systematic-debugging -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

lgbarn

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 lgbarn/devops-skills at 8a37cc3fe5.

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

Commit
8a37cc3fe5
Manifest
skills/systematic-debugging/SKILL.md
Scanned
11 files, 1,218 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 enables AI agents to systematically debug code, identifying root causes and suggesting solutions. It facilitates a structured approach to problem solving, ensuring thorough investigation of potential issues. The agent can analyze error messages, trace execution flows, and propose targeted fixes based on the identified problems.

When to use it

  • Troubleshooting failing CI/CD pipelines: Use this skill when automated builds or deployments are consistently failing due to code errors.
  • Debugging complex application crashes: Employ it when applications encounter unexpected crashes with unclear error messages.
  • Investigating performance bottlenecks: Leverage the skill to identify and resolve performance issues in software systems.
  • Analyzing production incidents: Utilize this skill during post-incident reviews to pinpoint the underlying causes of operational problems.

Key capabilities

  • Error message analysis
  • Execution flow tracing
  • Root cause identification
  • Solution suggestion

Example prompts

  • "Debug this code snippet and explain why it's failing: [code]"
  • "Analyze the following error log and suggest a fix: [error log]"
  • "Trace the execution of this function to find the source of the performance bottleneck: [function code]"

Tips & gotchas

The skill is most effective when provided with clear error messages or detailed descriptions of the problem. Providing context, such as relevant code snippets and environment details, will improve accuracy and efficiency.