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systematic-debugging

Isolate and resolve root causes of software bugs and failures.

2|Updated Apr 10, 2026
Search Tags:#debugging#evidence#diagnosis#reproduce#process#root-cause
One-click install
npx skills add https://github.com/t0lab/harness-kit --skill systematic-debugging-t0lab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: systematic-debugging
Source: https://github.com/t0lab/harness-kit/tree/main/.agents/skills/systematic-debugging
Command: npx skills add https://github.com/t0lab/harness-kit --skill systematic-debugging-t0lab

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging provides a disciplined approach to identifying root causes of software issues—bugs, failing tests, flaky behavior, broken builds, and integration problems—without patching symptoms.

Core Features & Use Cases

  • Reproduce failures consistently and gather evidence.
  • Trace failure boundaries and isolate root causes across components.
  • Form testable hypotheses and validate with minimal changes.
  • Create durable repros to prevent regressions.

Quick Start

Begin by reproducing the issue and collecting evidence, then follow Phase 1 through Phase 6 to identify the root cause before proposing fixes.

Frequently Asked Questions about systematic-debugging

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

FAQPage Schema
How do I debug failing tests and find the root cause instead of patching symptoms?▼

Systematic debugging identifies root causes of failing tests by enforcing reproducible evidence collection, phase-by-phase isolation, and minimal-change hypothesis-testing to resolve bugs without patching symptoms.

What is the best way to reproduce flaky behavior and isolate the root cause?▼

The best way to reproduce flaky behavior is consistent failure reproduction and evidence gathering, followed by tracing failure boundaries and isolating root causes across components through a structured debugging process.

How do I fix runtime bugs and integration failures using a systematic debugging process?▼

Fix runtime bugs and integration failures by reproducing the issue, collecting evidence, and following a phase-by-phase isolation process to form testable hypotheses and validate fixes with minimal changes.

When do I need a structured debugging process for software issues?▼

You need a structured debugging process when facing failing tests, runtime bugs, flaky behavior, broken builds, or integration problems that require disciplined root-cause identification rather than symptom patching.

Can I use this debugging approach for build failures across different software projects?▼

Yes, this debugging approach applies to build failures and integration problems across software projects by enforcing reproducible evidence collection and minimal-change hypothesis validation to isolate root causes.

How do I prevent regressions after identifying and fixing a bug?▼

Prevent regressions by creating durable reproductions during the debugging process, ensuring consistent failure reproduction and validated minimal-change fixes that address the root cause permanently.

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