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hanzlahabib
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rcode-debug

Trace software bugs to root cause before proposing fixes.

2|1|Updated Apr 10, 2026
Search Tags:#software engineering#debugging#root cause#hypothesis testing#bug investigation#reproduction#regression test
One-click install
npx skills add https://github.com/hanzlahabib/rcode --skill rcode-debug
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rcode-debug
Source: https://github.com/hanzlahabib/rcode/tree/main/rcode/skills/actions/4-implementation/rcode-debug
Command: npx skills add https://github.com/hanzlahabib/rcode --skill rcode-debug

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents guesswork debugging by enforcing a root-cause-first workflow, so you can identify why software is failing before proposing any fix.

Core Features & Use Cases

  • Reproduction First: Captures exact steps and observed behavior before any implementation changes are considered.
  • Evidence-Driven Investigation: Traces errors through logs, diffs, configuration, data flow, and multi-component boundaries to isolate the failing layer.
  • Hypothesis Testing: Requires one falsifiable hypothesis at a time, a minimal experiment, and a recorded observation to confirm or refute the cause.
  • Safe Implementation: Converts the diagnosis into a minimal fix with a regression test, and escalates after repeated failed attempts.
  • Use Case: Ideal for breaking down stubborn bugs in APIs, frontends, CI pipelines, database flows, and other systems where symptoms are misleading.

Quick Start

Use rcode-debug to investigate this failing behavior, reproduce it, trace the root cause, and report the evidence before suggesting any fix.

Frequently Asked Questions about rcode-debug

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

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

Debugging a failing CI pipeline requires tracing symptoms through logs, configuration, and multi-component boundaries to isolate the failing layer, followed by stepwise reproduction and evidence-driven investigation before fixing.

What is the best way to investigate misleading symptoms in multi-component systems?▼

Investigating misleading symptoms in applications and databases requires tracing errors through data flow and multi-component boundaries, gathering evidence, and testing one falsifiable hypothesis at a time to isolate the cause.

Can I use root cause debugging for reproducible defects in APIs and databases?▼

Yes, root cause debugging applies to reproducible defects in APIs, frontends, CI pipelines, and databases by enforcing stepwise reproduction, evidence gathering, and hypothesis testing across multi-component boundaries.

What should I do when my bug fixes repeatedly fail in production?▼

When repeated bug fixes fail, you should escalate after applying a root-cause-first workflow, which converts your diagnosis into a minimal fix with a regression test to prevent future recurrence.

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