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debug-investigator

Guide hypothesis-driven debugging with ranked hypotheses and bisection strategies.

310|45|Updated Feb 22, 2026
Search Tags:#debugging#instrumentation#root-cause#bisect#reproduction#hypotheses
One-click install
npx skills add https://github.com/Mathews-Tom/praxis-skills --skill debug-investigator-mathews-tom
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: debug-investigator
Source: https://github.com/Mathews-Tom/praxis-skills/tree/main/skills/debug-investigator
Command: npx skills add https://github.com/Mathews-Tom/praxis-skills --skill debug-investigator-mathews-tom

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Hypothesis-driven debugging methodology replaces ad-hoc exploration by structuring symptoms, evidence, and testing to uncover root causes efficiently.

Core Features & Use Cases

  • Ranked hypotheses with confirming/refuting tests
  • Git bisect strategy for identifying the first bad commit
  • Instrumentation point planning to observe behavior
  • Minimal reproduction design to stabilize failures
  • Comprehensive evidence capture and documentation

Quick Start

Describe the bug and triggering context; the skill will generate a structured investigation plan with hypotheses, tests, and a bisect strategy.

Frequently Asked Questions about debug-investigator

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

FAQPage Schema
How do I find the root cause of an intermittent failure with an unclear stack trace?▼

A git bisect strategy identifies the first bad commit by systematically narrowing the commit history, applying hypothesis-driven verification to pinpoint exactly when a performance regression or failure was introduced.

What is the best way to create a minimal reproduction for an elusive bug?▼

Creating a minimal reproduction stabilizes the failure condition, allowing you to design targeted instrumentation points that observe behavior and capture comprehensive evidence for an auditable debugging workflow.

How do I plan instrumentation points to observe erratic software behavior?▼

Hypothesis-driven debugging suits performance regressions, intermittent failures, and unclear stack traces, replacing ad-hoc exploration by structuring symptoms, testing, and evidence capture to uncover root causes efficiently.

When should I use a systematic debugging investigation instead of ad-hoc exploration?▼

Hypothesis-driven debugging suits performance regressions, intermittent failures, and unclear stack traces, replacing ad-hoc exploration by structuring symptoms, testing, and evidence capture to uncover root causes efficiently.

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