How do I install the Systematic Debugging skill?

Run npx skillmds@latest add dvcrn/systematic-debugging-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Systematic Debugging skill do?

Find root cause before attempting fixes — 4-phase investigation, never guess-fix It is listed under Coding & Dev Tools on SkillMD.

Is Systematic Debugging safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Systematic Debugging?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Systematic Debugging free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Systematic Debugging?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Systematic Debugging by dvcrn — Agent Skill

Name: Systematic Debugging
Rating: 4.2 (5 reviews)
Author: dvcrn

File contents

Systematic Debugging — Root Cause First

Iron Law

NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST.

If you're about to change code to "try something," STOP. Investigate first.

The 4 Phases

Phase 1: Root Cause Investigation

Read the error — Read the FULL error message, stack trace, and logs. Not just the first line.
Reproduce — Can you make the error happen consistently? If not, gather more data before changing anything.
Check recent changes — What changed since it last worked?
```
git log --oneline -10
git diff HEAD~3
```
Gather evidence — Don't theorize without data. Check database state, API responses, config values.

Phase 2: Pattern Analysis

Find working examples — Is there similar code in the project that works? Compare it.
Compare — What's different between working and broken code?
Check dependencies — Is the issue in your code or something upstream? Check library versions, external API changes.

Phase 3: Hypothesis and Testing

Form ONE hypothesis — "The error occurs because X"
Test minimally — Change ONE thing to verify
If wrong — Return to Phase 1, don't stack guesses

Phase 4: Implementation

Write a failing test that reproduces the bug
Fix the root cause (not the symptom)
Verify the test passes
Run full test suite — no regressions
Document the failure — Log what failed and why for future reference

Rationalizations That Mean STOP

Thought	Reality
"Let me just try this quick fix"	That's guessing. Investigate first.
"It's probably X"	Probably is not certainly. Verify.
"I'll fix it and see if it helps"	You're changing code without understanding.
"Multiple things might be wrong"	Fix one thing at a time.
"I've seen this before"	Verify in THIS codebase. Don't assume.

When You're Stuck (3+ Failed Fixes)

Don't keep guessing. Escalate:

Document what you tried and what happened
List your symptoms, what you investigated, and hypotheses tested
Ask for help with specific questions, not "it doesn't work"
Share the evidence you've gathered so others don't repeat your investigation

---name: systematic-debugging-2description: Find root cause before attempting fixes — 4-phase investigation, never guess-fix--- # Systematic Debugging — Root Cause First ## Iron Law NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST. If you're about to change code to "try something," STOP. Investigate first. ## The 4 Phases ### Phase 1: Root Cause Investigation 1. **Read the error** — Read the FULL error message, stack trace, and logs. Not just the first line. 2. **Reproduce** — Can you make the error happen consistently? If not, gather more data before changing anything. 3. **Check recent changes** — What changed since it last worked? ```bash git log --oneline -10 git diff HEAD~3 ``` 4. **Gather evidence** — Don't theorize without data. Check database state, API responses, config values. ### Phase 2: Pattern Analysis 1. **Find working examples** — Is there similar code in the project that works? Compare it. 2. **Compare** — What's different between working and broken code? 3. **Check dependencies** — Is the issue in your code or something upstream? Check library versions, external API changes. ### Phase 3: Hypothesis and Testing 1. **Form ONE hypothesis** — "The error occurs because X" 2. **Test minimally** — Change ONE thing to verify 3. **If wrong** — Return to Phase 1, don't stack guesses ### Phase 4: Implementation 1. **Write a failing test** that reproduces the bug 2. **Fix the root cause** (not the symptom) 3. **Verify the test passes** 4. **Run full test suite** — no regressions 5. **Document the failure** — Log what failed and why for future reference ## Rationalizations That Mean STOP | Thought | Reality | |---------|---------| | "Let me just try this quick fix" | That's guessing. Investigate first. | | "It's probably X" | Probably is not certainly. Verify. | | "I'll fix it and see if it helps" | You're changing code without understanding. | | "Multiple things might be wrong" | Fix one thing at a time. | | "I've seen this before" | Verify in THIS codebase. Don't assume. | ## When You're Stuck (3+ Failed Fixes) Don't keep guessing. Escalate: 1. Document what you tried and what happened 2. List your symptoms, what you investigated, and hypotheses tested 3. Ask for help with specific questions, not "it doesn't work" 4. Share the evidence you've gathered so others don't repeat your investigation

Frequently asked questions

Systematic Debugging