From shipshitdev-library
Provides systematic debugging methodology with reproducible feedback loops, hypothesis testing, and instrumentation rules for bugs, crashes, and performance regressions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/shipshitdev-library:debugThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Debugging methodology: 54 rules across 10 categories prioritized by impact. Based on research from Andreas Zeller's "Why Programs Fail" and academic debugging curricula.
AGENTS.mdREADME.mdassets/templates/_template.mdplugin.jsonreferences/_sections.mdreferences/anti-blame-tool.mdreferences/anti-debug-fatigue.mdreferences/anti-quick-patch.mdreferences/anti-shotgun-debugging.mdreferences/anti-tunnel-vision.mdreferences/hypo-binary-search.mdreferences/hypo-one-change-at-time.mdreferences/hypo-rubber-duck.mdreferences/hypo-rule-out-obvious.mdreferences/hypo-scientific-method.mdreferences/hypo-where-not-what.mdreferences/obs-breakpoint-strategy.mdreferences/obs-log-inputs-outputs.mdreferences/obs-stack-trace-reading.mdreferences/obs-strategic-logging.mdDebugging methodology: 54 rules across 10 categories prioritized by impact. Based on research from Andreas Zeller's "Why Programs Fail" and academic debugging curricula.
Use this loop before reaching for the detailed rules:
If no reliable loop can be built, stop and name exactly what evidence is missing: logs, trace payloads, a failing fixture, a screen recording, environment access, or a reproduction script. Do not guess without a loop.
Try these in order, choosing the cheapest loop that reproduces the real symptom:
Improve the loop itself when it is slow, flaky, or vague. A sharp 2-second loop is more valuable than a broad 2-minute suite when debugging.
[DEBUG-20260607-auth].For performance regressions, measure first. Establish a baseline, capture timing or profiler evidence, and bisect before changing code.
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Problem Definition | CRITICAL | prob- |
| 2 | Hypothesis-Driven Search | CRITICAL | hypo- |
| 3 | Observation Techniques | HIGH | obs- |
| 4 | Root Cause Analysis | HIGH | rca- |
| 5 | Tool Mastery | MEDIUM-HIGH | tool- |
| 6 | Bug Triage and Classification | MEDIUM | triage- |
| 7 | Common Bug Patterns | MEDIUM | pattern- |
| 8 | Fix Verification | MEDIUM | verify- |
| 9 | Anti-Patterns | MEDIUM | anti- |
| 10 | Prevention & Learning | LOW-MEDIUM | prev- |
prob-reproduce-before-debug - Reproduce the bug before investigatingprob-minimal-reproduction - Create minimal reproduction casesprob-document-symptoms - Document symptoms preciselyprob-separate-symptoms-causes - Separate symptoms from causesprob-state-expected-actual - State expected vs actual behaviorprob-recent-changes - Check recent changes firsthypo-scientific-method - Apply the scientific methodhypo-binary-search - Use binary search to localize bugshypo-one-change-at-time - Test one hypothesis at a timehypo-where-not-what - Find WHERE before asking WHAThypo-rule-out-obvious - Rule out obvious causes firsthypo-rubber-duck - Explain the problem aloudobs-strategic-logging - Use strategic loggingobs-log-inputs-outputs - Log function inputs and outputsobs-breakpoint-strategy - Use breakpoints strategicallyobs-stack-trace-reading - Read stack traces bottom to topobs-watch-expressions - Use watch expressions for stateobs-trace-data-flow - Trace data flow through systemrca-five-whys - Use the 5 Whys techniquerca-fault-propagation - Trace fault propagation chainsrca-last-known-good - Find the last known good staterca-question-assumptions - Question your assumptionsrca-examine-boundaries - Examine system boundariestool-conditional-breakpoints - Use conditional breakpointstool-logpoints - Use logpoints instead of modifying codetool-step-commands - Master step over/into/outtool-call-stack-navigation - Navigate the call stacktool-memory-inspection - Inspect memory and object statetool-exception-breakpoints - Use exception breakpointstriage-severity-vs-priority - Separate severity from prioritytriage-user-impact-assessment - Assess user impact before prioritizingtriage-reproducibility-matters - Factor reproducibility into triagetriage-quick-wins-first - Identify and ship quick wins firsttriage-duplicate-detection - Detect and link duplicate bug reportspattern-null-pointer - Recognize null pointer patternspattern-off-by-one - Spot off-by-one errorspattern-race-condition - Identify race condition symptomspattern-memory-leak - Detect memory leak patternspattern-type-coercion - Watch for type coercion bugspattern-async-await-errors - Catch async/await error handling mistakespattern-timezone-issues - Recognize timezone and date bugsverify-reproduce-fix - Verify with original reproductionverify-regression-check - Check for regressionsverify-understand-why-fix-works - Understand why fix worksverify-add-test - Add test to prevent recurrenceanti-shotgun-debugging - Avoid shotgun debugginganti-quick-patch - Avoid quick patches without understandinganti-tunnel-vision - Avoid tunnel vision on initial hypothesisanti-debug-fatigue - Recognize debugging fatigueanti-blame-tool - Don't blame the tool too quicklyprev-document-solution - Document bug solutionsprev-postmortem - Conduct blameless postmortemsprev-defensive-coding - Add defensive code at boundariesprev-improve-error-messages - Improve error messagesRead individual reference files for detailed explanations and code examples:
For the complete guide with all rules expanded: AGENTS.md
The operational loop incorporates debugging workflow ideas adapted from
Matt Pocock's MIT-licensed diagnose skill.
npx claudepluginhub shipshitdev/skillsSystematic methodology for debugging code, investigating errors, and performing root cause analysis. Covers reproduction, hypothesis-driven search, and fix verification.
Systematic debugging methodology for finding and fixing bugs through root cause analysis. Covers reproduce-investigate-hypothesize-fix-prevent workflow, evidence-based diagnosis, and bug category strategies.
Transforms debugging into systematic problem-solving with proven strategies for elusive bugs, performance issues, and production incidents.