systematic-debugging

Diagnose code errors and performance issues from logs and stack traces.

3|1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/bhaumikmaan/claude-code-master-skills --skill systematic-debugging-bhaumikmaan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: systematic-debugging
Source: https://github.com/bhaumikmaan/claude-code-master-skills/tree/main/skills/systematic-debugging
Command: npx skills add https://github.com/bhaumikmaan/claude-code-master-skills --skill systematic-debugging-bhaumikmaan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It guides developers and AI assistants to systematically investigate and resolve bugs, performance bottlenecks, and stuck processes without guessing, ensuring evidence‑based diagnostics.

Core Features & Use Cases

  • Symptom‑to‑Hypothesis Mapping: Matches observed issues to likely causes and suggests targeted checks.
  • Bounded Log Reading: Reads only relevant portions of logs using tail and grep to stay token‑efficient.
  • Structured Bug Report: Produces a concise two‑part report (summary and detailed thread) for clear communication.
  • Use Cases: Debug high CPU usage, memory leaks, process hangs, build or test failures, and intermittent runtime errors.

Quick Start

Ask the systematic‑debugging skill to analyze the recent error logs and deliver a concise diagnostic report.

Frequently Asked Questions about systematic-debugging

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

FAQPage Schema
How do I debug high CPU usage and memory leaks from application logs?

Diagnose high CPU usage and memory leaks by mapping observed symptoms to likely causes and gathering targeted log evidence. Bounded log reading with tail and grep isolates relevant runtime anomalies for accurate root-cause identification.

What is the best way to investigate intermittent runtime errors and process hangs?

Investigate intermittent runtime errors and process hangs by mapping observed symptoms to likely causes and testing hypotheses against evidence from stack traces and recent changes. This systematic approach prevents guessing and ensures accurate root-cause identification.

How do I analyze stack traces and error logs without exceeding token limits?

Analyze stack traces and error logs without exceeding token limits by using bounded log reading. This technique reads only relevant portions of logs using tail and grep to stay token-efficient during error investigation and diagnostics.

How do I format a structured bug report for build and test failures?

Format a structured bug report for build and test failures by producing a concise two-part report. This includes a summary and a detailed thread to ensure clear communication of the root-cause analysis and diagnostic evidence.

Does systematic debugging work for diagnosing performance bottlenecks without source code access?

Diagnosing performance bottlenecks without source code access is possible if you have logs, stack traces, and recent change records. Systematic debugging relies on gathering evidence from these runtime artifacts rather than direct code inspection.

Why does my debugging process rely on guessing instead of finding the root cause?

Your debugging process relies on guessing when you skip symptom-to-hypothesis mapping and bounded log reading. Systematic diagnostics require gathering evidence from stack traces and recent changes to ensure accurate root-cause identification without assumptions.