debugging

Apply binary search and trace-based debugging to diagnose code bugs.

1|1|Updated Dec 25, 2025

Search Tags:#code quality #testing #debugging #troubleshooting #software development #bug fixing

Ready to run

npx skills add https://github.com/uukuguy/claude-agent-framework --skill debugging-uukuguy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: debugging
Source: https://github.com/uukuguy/claude-agent-framework/tree/main/examples/production/06_code_debugger/.claude/skills/debugging
Command: npx skills add https://github.com/uukuguy/claude-agent-framework --skill debugging-uukuguy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured approach to identifying, diagnosing, and resolving bugs in code, ensuring efficient problem-solving and preventing future regressions.

Core Features & Use Cases

Bug Identification: Offers various strategies like binary search and trace-based debugging to pinpoint issues.
Root Cause Analysis: Helps in categorizing bugs (logic, data, integration, performance) to understand their origin.
Fixing & Prevention: Guides users on applying fixes and implementing regression testing.
Use Case: When a critical feature suddenly stops working, this Skill can guide you through a systematic process to find the exact line of code causing the issue and suggest a fix.

Quick Start

Use the debugging skill to apply binary search debugging to find the root cause of a bug in the provided codebase.

Frequently Asked Questions about debugging

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

FAQPage Schema

What is the best way to find the root cause of a logic error or data corruption bug?▼

Root cause analysis for logic errors and data corruption is best performed using trace-based debugging and state inspection to pinpoint exact failure origins. Systematic categorization helps identify whether issues stem from logic, data, integration, or performance bottlenecks.

How do I systematically debug a critical feature that suddenly stopped working?▼

To systematically debug a stopped feature, apply binary search debugging alongside logging and assertions to isolate the problematic code block. This structured approach traces execution paths to find the exact line of code causing the integration failure.

When do I need regression testing during the bug fixing process?▼

Regression testing is needed immediately after applying a bug fix to prevent future regressions and ensure the codebase remains stable. Validating fixes against existing logic guarantees that resolving data or integration issues does not introduce new errors.

Does binary search debugging work for resolving performance bottlenecks?▼

Binary search debugging effectively isolates performance bottlenecks by systematically narrowing down the code segments responsible for the slowdown. This technique progressively eliminates unaffected modules to rapidly reveal the exact source of the execution delay.

Why should I use trace-based debugging instead of relying solely on state inspection?▼

Trace-based debugging captures the execution flow over time, whereas state inspection only shows a snapshot of the current variables. Combining both methods provides a comprehensive view of how data corruption or logic errors propagate through the system during runtime.

What are the limitations of using assertions for early bug detection?▼

Assertions provide early bug detection by validating expected states, but they are limited to checking explicit conditions at specific code points. They cannot automatically discover unknown logic errors or integration failures outside their defined scope without supplemental logging.