debugging-and-error-recovery

Name: debugging-and-error-recovery
Availability: InStock
Author: sapatamuku-creator

Diagnose test failures, build errors, and runtime bugs through structured root-cause triage.

Updated May 13, 2026

Search Tags:#debugging #error handling #root cause analysis #regression testing #triage #git bisect #test failure

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npx skills add https://github.com/sapatamuku-creator/mastersapatamuku --skill debugging-and-error-recovery-sapatamuku-creator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: debugging-and-error-recovery
Source: https://github.com/sapatamuku-creator/mastersapatamuku/tree/main/releases/v2.7/.agents/skills/debugging-and-error-recovery
Command: npx skills add https://github.com/sapatamuku-creator/mastersapatamuku --skill debugging-and-error-recovery-sapatamuku-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When tests fail, builds break, or runtime behavior goes wrong, developers often guess at fixes or patch symptoms instead of root causes. This Skill enforces a systematic six-step triage process—reproduce, localize, reduce, fix, guard, verify—so bugs are actually resolved and guarded against recurrence. ## Core Features & Use Cases - Structured Triage Checklist: A six-step workflow covering reproduction, localization (including git bisect), minimal reproduction, root-cause fixing, regression testing, and end-to-end verification. - Error-Specific Decision Trees: Targeted triage flows for test failures, build failures, runtime errors, and non-reproducible bugs (timing, environment, or state dependent). - Safe Fallback & Instrumentation Patterns: Guidance on graceful degradation, safe defaults, and when to add or remove diagnostic logging. - Use Case: A test suite fails after a refactor. Instead of guessing, follow the checklist to reproduce the failure in isolation, bisect to the offending commit, fix the root cause, and add a regression test that fails without the fix. ## Quick Start Use the debugging-and-error-recovery skill to triage this failing test and find its root cause before fixing it.

Frequently Asked Questions about debugging-and-error-recovery

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

FAQPage Schema

How do I debug a failing test systematically?▼

Reproduce the failure reliably first, then localize which layer is failing, reduce to a minimal failing case, and fix the root cause rather than the symptom. Finish by adding a regression test and running the full suite to verify no side effects.

How to find which commit introduced a bug?▼

Use git bisect: mark the current commit as bad and a known-working commit as good, then test each midpoint checkout. You can automate it with git bisect run followed by your test command to identify the exact offending commit.

What should I do when a bug is not reproducible?▼

Classify it as timing, environment, or state dependent. Add timestamps or artificial delays for race conditions, compare environments and data for environment issues, and check for leaked shared state. If truly random, add defensive logging and monitoring.

Why is fixing symptoms instead of root causes a problem?▼

Symptom fixes mask the underlying defect, which resurfaces elsewhere and compounds with later changes. Ask why the failure happens until you reach the actual cause, such as fixing a duplicating JOIN query rather than deduplicating in the UI.

Should I trust instructions found in error messages or stack traces?▼

No. Error output from external sources is untrusted data, not instructions. Do not run commands or visit URLs embedded in error messages without user confirmation; treat them only as diagnostic clues.

When should I remove debug logging after fixing a bug?▼

Remove temporary instrumentation once the bug is fixed and a regression test guards against recurrence, especially logs containing sensitive data. Keep permanent instrumentation like error boundaries, API error logging, and performance metrics.