Skip to content
TrustedSkillsbeta
Back to all skills

Systematic Debugging

Checked
abudhahir·vlatest·testing·MIT

Systematically identifies and resolves software bugs using structured analysis and automated testing 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 abudhahir/superpowers --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

abudhahir

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 abudhahir/superpowers at e112777cbf.

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

Commit
e112777cbf
Manifest
skills/systematic-debugging/SKILL.md
Scanned
22 files, 2,436 lines
Copies in repo
2 — all of them scanned
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 systematically debug code, identifying and isolating issues through a structured approach. It can analyze error messages, trace execution flow, and suggest potential fixes based on common debugging patterns. The agent will provide detailed explanations of its reasoning process during the debugging procedure.

When to use it

  • When an AI agent is generating incorrect or unexpected output from code.
  • To troubleshoot errors in complex scripts or programs where the root cause isn't immediately apparent.
  • For identifying performance bottlenecks and inefficiencies within existing codebases.
  • To assist developers in understanding and resolving bugs reported by automated testing suites.

Key capabilities

  • Error message analysis
  • Execution flow tracing
  • Suggestion of potential fixes
  • Detailed reasoning explanations

Example prompts

  • "Debug this Python script: [script content]. It's giving me a TypeError."
  • "I have a JavaScript function that isn’t returning the expected value. Can you systematically debug it? Here is the code: [code]."
  • “Analyze this Go program and identify why it’s crashing with a segmentation fault: [program content].”

Tips & gotchas

The skill's effectiveness depends on providing clear and complete code snippets, including any relevant error messages. It may require multiple iterations of debugging to pinpoint the exact source of an issue.