systematic-debugging

Diagnose bugs through a four-phase root cause investigation process before proposing fixes.

1|Updated Dec 30, 2025
One-click install
npx skills add https://github.com/Fidasek009/agents --skill systematic-debugging-fidasek009
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: systematic-debugging
Source: https://github.com/Fidasek009/agents/tree/main/.agents/skills/systematic-debugging
Command: npx skills add https://github.com/Fidasek009/agents --skill systematic-debugging-fidasek009

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve? Developers under time pressure often apply quick symptom fixes that fail repeatedly, causing hours of guess-and-check thrashing. This Skill enforces a disciplined four-phase debugging methodology that finds the actual root cause before any fix is attempted. ## Core Features & Use Cases - Four-Phase Process: Root cause investigation, pattern analysis, hypothesis testing, and implementation, with mandatory completion of each phase before proceeding. - Supporting Techniques: Includes root-cause tracing through call stacks, defense-in-depth validation at multiple layers, and condition-based waiting to replace flaky arbitrary timeouts in tests. - Bisection Script: A shell script that runs test files one by one to identify which test pollutes shared state or the filesystem. - Use Case: When a test fails intermittently or a production bug resists obvious fixes, follow the process to reproduce the issue, trace data flow to the source, form a single hypothesis, and verify the fix with a failing test. ## Quick Start Use the systematic-debugging skill to investigate this failing test and find its root cause before suggesting any fix.

Frequently Asked Questions about systematic-debugging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find the root cause of a bug instead of fixing symptoms?▼

Follow a four-phase process: investigate the root cause by reading errors and reproducing the issue, analyze patterns against working examples, form and test a single hypothesis, then implement one verified fix. Never propose fixes before completing the investigation phase.

How to fix flaky tests caused by arbitrary timeouts?▼

Replace setTimeout or sleep calls with condition-based waiting that polls for the actual condition you care about, such as an event appearing or state changing. Poll every 10ms with a clear timeout error, and only use arbitrary delays when testing documented timing behavior.

What should I do when multiple fix attempts keep failing?▼

Stop after three failed fixes and question the architecture rather than attempting a fourth fix. Repeated failures where each fix reveals new problems elsewhere indicate a structural issue that requires architectural discussion, not another patch.

How do I find which test is polluting shared state or the filesystem?▼

Use the find-polluter.sh bisection script, which runs each test file individually and checks whether the unwanted file or directory appears afterward. It stops at the first polluting test and reports the file for investigation.

When is it acceptable to skip systematic debugging for simple bugs?▼

Never. Simple bugs have root causes too, and the process is fast for simple issues. Skipping investigation under time pressure leads to symptom fixes that fail and cause more rework than the systematic approach.