Skip to content
TrustedSkillsbeta
Back to all skills

Systematic Debugging

Listed
johnsonmao·vlatest·testing

Systematically identifies and resolves software bugs using a structured debugging process guided by Johnsonmao's methodology.

Install on your platform

This skill no longer installs under the name systematic-debugging. johnsonmao/skills is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

johnsonmao

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. repository not found or private Source recorded as johnsonmao/skills.
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, johnsonmao-systematic-debugging, provides a structured approach to debugging code. It helps identify root causes of errors through methodical investigation and hypothesis testing. The agent can systematically analyze error messages, trace execution paths, and propose potential fixes based on observed behavior.

When to use it

  • Complex Bugs: When facing difficult bugs that are not immediately obvious.
  • Reproducibility Issues: To diagnose issues where a bug only appears intermittently.
  • Production Errors: To analyze errors occurring in live environments and pinpoint the underlying cause.
  • Debugging unfamiliar codebases: Provides a framework for understanding and troubleshooting new projects.

Key capabilities

  • Systematic error analysis
  • Hypothesis generation and testing
  • Execution path tracing
  • Root cause identification
  • Potential fix suggestions

Example prompts

  • "Debug this Python script: [script content]. The error message is: [error message]."
  • "I'm seeing intermittent failures in my application. Use systematic debugging to find the root cause."
  • “Trace the execution path of this function and identify why it’s returning an unexpected value.”

Tips & gotchas

The skill is most effective when provided with detailed error messages and context about the code being debugged. It may require iterative prompting and refinement of hypotheses to reach a conclusive diagnosis.