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quantdev-debugging

Guide systematic four-phase debugging with root cause analysis and data flow tracing.

Updated Aug 23, 2026
Search Tags:#debugging#troubleshooting#error handling#root cause analysis#systematic process#trading systems
One-click install
npx skills add https://github.com/lgbarn/quantdev --skill quantdev-debugging
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: quantdev-debugging
Source: https://github.com/lgbarn/quantdev/tree/main/skills/quantdev-debugging
Command: npx skills add https://github.com/lgbarn/quantdev --skill quantdev-debugging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that bugs and errors are systematically investigated to find their root cause before any fixes are attempted, preventing wasted time and the introduction of new issues.

Core Features & Use Cases

  • Systematic Debugging Process: Guides users through a four-phase process: Root Cause Investigation, Pattern Analysis, Hypothesis and Testing, and Implementation.
  • Error Prevention: Emphasizes understanding the "why" behind an issue before implementing a "how" to fix it.
  • Use Case: When a trading indicator produces incorrect values, this Skill helps you trace the data flow, identify the exact point of failure, form a hypothesis, and implement a targeted fix, rather than making random code changes.

Quick Start

Use the quantdev-debugging skill to investigate why the latest backtest failed.

Frequently Asked Questions about quantdev-debugging

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

FAQPage Schema
How do I find the root cause of a trading system bug before attempting a fix?▼

Debugging trading system errors systematically involves tracing data flow through four phases: root cause investigation, pattern analysis, hypothesis testing, and targeted implementation, preventing random code changes and new issues.

What is the best way to debug incorrect values in a trading indicator?▼

Debugging incorrect trading indicator values requires tracing data flow to identify the exact failure point, forming a hypothesis, and implementing a targeted fix rather than making random code changes.

How do I trace data flow in multi-component trading systems during troubleshooting?▼

Troubleshoot multi-component trading systems by tracing data flow through specific debugging checks for session boundaries, timezones, and bar alignment to pinpoint exact failure points during pattern analysis.

Why does immediately fixing a software error without root cause analysis introduce new issues?▼

Fixing errors without root cause analysis introduces new issues because the underlying problem remains unsolved, leading to wasted time, regressions, and untraced failures in multi-component systems.

What are common debugging pitfalls when handling errors in systematic trading systems?▼

Common debugging pitfalls in trading systems include making random code changes before understanding the issue and ignoring specific checks for session boundaries, timezones, and bar alignment.

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