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investigate

Automate root-cause debugging with a phased investigate, analyze, hypothesize, implement workflow.

Updated Apr 20, 2026
Search Tags:#debugging#investigation#troubleshooting#root-cause#reproduction#hypothesis-testing
One-click install
npx skills add https://github.com/aspectrr/denchclaw-workspace --skill investigate-aspectrr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/aspectrr/denchclaw-workspace/tree/main/skills/gstack/investigate
Command: npx skills add https://github.com/aspectrr/denchclaw-workspace --skill investigate-aspectrr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic root-cause debugging. Four phases: investigate, analyze, hypothesize, implement. Iron Law: no fixes without root cause investigation first. Use when debugging errors, unexpected behavior, or troubleshooting.

Core Features & Use Cases

  • Phase-driven analysis with structured outputs
  • Reproducible hypothesis testing and validation
  • Clear escalation and verification workflow for fixes

Quick Start

Follow the steps in Phase 1 to collect symptoms, read the code, reproduce the bug, and produce a root cause hypothesis.

Frequently Asked Questions about investigate

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

FAQPage Schema
What is the best way to find a root cause when debugging unexpected software behavior?▼

Systematic root-cause debugging uses a phased workflow to collect symptoms, read the code, reproduce the bug, and form a verifiable hypothesis. This enforces the rule of no fixes without prior investigation, ensuring you address the actual issue.

How do I start troubleshooting an error in my codebase?▼

Troubleshooting starts by collecting symptoms and reading the relevant code to reproduce the bug. You then move through analysis and hypothesis phases to produce a reproducible root cause hypothesis and verification steps before implementing any fix.

Can I use structured hypothesis testing for debugging errors across large codebases?▼

Structured hypothesis testing applies to debugging errors across codebases of varying sizes. It uses a phased workflow to systematically investigate, analyze, and validate root causes, ensuring fixes are reproducible.

Why should I form a root cause hypothesis before implementing a software fix?▼

Forming a root cause hypothesis before implementing a fix enforces the Iron Law of debugging: no fixes without root cause investigation first. This ensures you verify the actual problem rather than treating symptoms, leading to reproducible and reliable resolutions.

Does root-cause debugging work for troubleshooting unexpected behavior without clear error messages?▼

Root-cause debugging works for troubleshooting unexpected behavior by applying a structured investigation and analysis workflow. It helps you collect symptoms, form a hypothesis, and generate verification steps even when explicit error messages are absent.

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