skills.rest
Lev-it
Lev-itOFFICIAL
Explore all skills by this author →
GitHub

diagnosing-bugs

Diagnose software bugs through iterative analysis and hypothesis testing.

Updated Apr 28, 2026
Search Tags:#feedback loop#bug diagnosis#systematic debugging#debugging workflow#performance regression
One-click install
npx skills add https://github.com/Lev-it/lev-skills --skill diagnosing-bugs-lev-it
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: diagnosing-bugs
Source: https://github.com/Lev-it/lev-skills/tree/main/.claude/skills/diagnosing-bugs
Command: npx skills add https://github.com/Lev-it/lev-skills --skill diagnosing-bugs-lev-it

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill aids in diagnosing hard-to-find bugs and performance regressions by guiding you through a systematic approach to create a tight feedback loop, making it easier to pinpoint the issue.

Core Features & Use Cases

  • Diagnosis Loop Creation: Provides a comprehensive method to create a feedback loop for debugging.
  • Phase-Based Approach: Follows a structured six-phase approach for diagnosing bugs, from building a feedback loop to cleanup and post-mortem analysis.
  • Minimal Reproduction: Shrink the bug scenario to its smallest, reproducible form to facilitate faster and more targeted debugging.

Quick Start

Start diagnosing a bug by following the outlined steps in the SKILL.md guide and building a tight feedback loop to isolate and identify the problem.

Frequently Asked Questions about diagnosing-bugs

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

FAQPage Schema
What is a tight feedback loop for systematic debugging?▼

A tight feedback loop for systematic debugging is an iterative process of testing hypotheses and inspecting code to quickly isolate the root cause of complex software bugs and performance regressions.

How do I diagnose hard-to-find software bugs with no immediate solution?▼

Diagnose hard-to-find bugs by following a structured six-phase approach that includes creating minimal reproductions, iteratively testing hypotheses, and inspecting code to pinpoint the root cause.

What is the best way to shrink a bug scenario for targeted debugging?▼

The best way to shrink a bug scenario is to reduce it to its minimal reproducible form, which accelerates the debugging workflow and makes isolating the root cause significantly faster.

Does this systematic debugging workflow help with performance regressions?▼

Yes, this systematic debugging workflow helps diagnose performance regressions by guiding you through iterative analysis and hypothesis testing to establish a tight feedback loop for root cause isolation.

What phases are involved in a systematic bug diagnosis workflow?▼

A systematic bug diagnosis workflow involves six phases, starting from building a feedback loop and shrinking the reproduction scenario, advancing through iterative code inspection, and ending with cleanup and post-mortem analysis.

Related Skills

Explore More Software Engineering Skills→
yocxy2yocxy2

gstack-openclaw-investigate

Trace software symptoms to architectural root causes via a five-phase diagnostic workflow.

Community
Advanced
fmflurryfmflurry
171

build-description-test-error-resolution-2

Guide structured root-cause analysis to resolve recurring error failures.

Community
Advanced
seo-jinseokseo-jinseok

moai-workflow-loop

Integrate LSP diagnostics and AST-grep scanning into an automated code quality feedback loop.

Community
Advanced
OneWave-AIOneWave-AI
245

code-review-pro

Review code for security vulnerabilities, performance bottlenecks, and maintainability issues.

Official
Basic