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Systematic Debugging

Checked
chauchakching·vlatest·testing

Systematically identifies and resolves software bugs using AI 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 chauchakching/superpowers-cursor --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

chauchakching

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 chauchakching/superpowers-cursor at e875201571.

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

Commit
e875201571
Manifest
.cursor/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, "Systematic Debugging," helps AI agents methodically identify and resolve errors in code or processes. It breaks down complex issues into smaller, manageable steps, facilitating a more structured debugging approach. The agent can systematically test hypotheses and isolate the root cause of problems to improve overall reliability.

When to use it

  • When an AI agent is producing unexpected or incorrect results.
  • To troubleshoot errors in automated workflows or scripts.
  • For diagnosing issues within complex software systems where pinpointing the source of failure is difficult.
  • During development and testing phases to proactively identify and fix bugs.

Key capabilities

  • Hypothesis generation for error causes
  • Systematic testing of hypotheses
  • Isolation of root cause
  • Error reporting with detailed steps

Example prompts

  • "Debug this Python script: [script content]. Explain your debugging process step-by-step."
  • "I'm getting an 'IndexOutOfBoundsException' in my Java code. Use systematic debugging to find the problem."
  • "The automated report is failing intermittently. Can you systematically debug the data processing pipeline?"

Tips & gotchas

This skill requires access to the relevant codebase or process being debugged. Be prepared to provide detailed information about the error and context for optimal results.