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Systematic Debugging

Checked
obra·vlatest·testing·MIT

Automatically identifies and suggests fixes for systematic errors in code based on test results and logs.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Systematic Debugging, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add obra/superpowers-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

obra

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 obra/superpowers-skills at cdcd624ad3.

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

Commit
cdcd624ad3
Manifest
skills/debugging/systematic-debugging/SKILL.md
Scanned
6 files, 619 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

The obra-systematic-debugging skill provides a structured approach to identifying and resolving issues within AI agent workflows. It helps isolate problems, pinpoint root causes, and suggest potential fixes by systematically analyzing logs and error messages. This allows for more efficient debugging compared to ad-hoc troubleshooting methods.

When to use it

  • Debugging complex agent chains: When an agent is performing multiple steps and failing unexpectedly, this skill can help trace the issue through each stage.
  • Analyzing recurring errors: If your agent consistently encounters a specific error, the skill can provide insights into its origin and potential solutions.
  • Understanding unexpected behavior: When an agent's actions deviate from the intended outcome, use this skill to methodically investigate the cause.
  • Improving agent reliability: Regularly applying systematic debugging helps proactively identify and address vulnerabilities in your agent’s logic.

Key capabilities

  • Log analysis
  • Error message interpretation
  • Root cause identification
  • Suggestion of potential fixes

Example prompts

  • "Analyze the following error log: [paste error log here]"
  • "I'm getting a 'TypeError' in my agent workflow. Can you help me debug it?"
  • "My agent is failing to complete task X. Please systematically investigate and suggest solutions."

Tips & gotchas

The skill’s effectiveness relies on providing clear and detailed error logs or descriptions of the problematic behavior. Ensure your agent logging is sufficiently verbose to provide enough context for accurate analysis.