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Systematic Debugging

Checked
pcvelz·vlatest·testing·MIT

Systematically identifies and resolves software bugs through automated analysis of code and execution traces.

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 pcvelz/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

pcvelz

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 pcvelz/superpowers at cb12f4fdfc.

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

Commit
cb12f4fdfc
Manifest
skills/systematic-debugging/SKILL.md
Scanned
6 files, 885 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, pcvelz-systematic-debugging, enables AI agents to systematically debug code. It provides a structured approach to identifying and resolving errors by analyzing error messages, suggesting potential causes, and proposing fixes. The agent can then execute these proposed solutions and verify the results, leading to more efficient debugging workflows.

When to use it

  • Troubleshooting failing automated tests: Use this skill when your CI/CD pipeline is reporting test failures and you need help pinpointing the root cause.
  • Debugging complex logic errors: When faced with code that exhibits unexpected behavior, leverage this skill to systematically investigate potential issues.
  • Analyzing obscure error messages: If an error message isn't clear, this skill can assist in interpreting it and suggesting possible solutions.
  • Understanding unfamiliar codebase: When working with new or complex codebases, use the debugging skill to quickly identify and resolve errors.

Key capabilities

  • Error message analysis
  • Root cause suggestion
  • Fix proposal
  • Solution execution
  • Verification of results

Example prompts

  • "Debug this Python code: [code snippet] - I'm getting a TypeError."
  • "Analyze the following error message and suggest possible causes: [error message]"
  • “I’m seeing intermittent failures in my test suite. Can you help me debug?”

Tips & gotchas

The effectiveness of this skill depends on providing clear and complete error messages or code snippets. Ensure the agent has sufficient context to understand the problem domain for optimal results.