Diagnose and fix bugs using a four-phase root-cause framework.
npx skills add https://github.com/elianiva/dotfiles --skill debugging-elianiva
Please help me install this Agent Skill. Skill: debugging Source: https://github.com/elianiva/dotfiles/tree/main/agents/skills/debugging Command: npx skills add https://github.com/elianiva/dotfiles --skill debugging-elianiva
Debugging across codebases is often time-consuming and error-prone. This skill provides a disciplined, four-phase framework to systematically investigate, analyze, hypothesize, and implement fixes based on root-cause evidence.
Reproduce the issue, then apply Phase 1 (Root Cause Investigation) to gather evidence before proposing any fixes.
High-intent search queries and answers about installing and using this skill.
Root cause investigation involves reproducing the issue and gathering evidence before proposing fixes. This structured approach applies pattern analysis and hypothesis testing to accurately diagnose software bugs rather than guessing at symptoms.
Debugging production bugs and performance problems systematically requires a four-phase framework: root-cause investigation, pattern analysis, hypothesis testing, and controlled implementation with evidence-based validation to ensure verifiable fixes.
Yes, this debugging approach supports diagnosing integration faults and test failures across projects of varying complexity. The phase-driven methodology scales from isolated test failures to complex cross-module integration issues by enforcing evidence-based validation.
Fixing software bugs safely requires controlled implementation guidance that emphasizes minimal, verifiable changes. After root-cause investigation and hypothesis testing, you apply changes with clear verification steps to prevent regressions and ensure stability.
Root-cause tracing replaces trial and error with a disciplined, phase-driven framework. By systematically investigating evidence, analyzing failure patterns, and testing hypotheses, you identify the exact origin of code faults efficiently before implementing any changes.
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