root-cause-first

Trace software failures to their root mechanism and implement source fixes.

14|1|Updated Jun 3, 2026
One-click install
npx skills add https://github.com/cohen-liel/agent-skills --skill root-cause-first
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: root-cause-first
Source: https://github.com/cohen-liel/agent-skills/tree/main/root-cause-first
Command: npx skills add https://github.com/cohen-liel/agent-skills --skill root-cause-first

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you fix software failures by tracing the actual mechanism behind a symptom instead of hiding it with a quick patch.

Core Features & Use Cases

  • Identifies the observed failure, reconstructs the intended contract, and traces the real execution path before any change.
  • Rejects band-aids such as null checks, retries, catch-and-continue, default-on-error, or broad parsing when they only suppress the signal.
  • Fits bugs, runtime errors, failing tests, flaky behavior, regressions, broken agent workflows, and architecture issues where root cause must be proven first.

Quick Start

Use the root-cause-first skill to investigate the failing behavior, explain the root mechanism, implement the smallest source fix, and verify it with a regression test.

Frequently Asked Questions about root-cause-first

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

FAQPage Schema
How do I fix flaky tests by finding the root cause instead of masking symptoms?

To fix flaky tests and runtime errors, reproduce the issue, reconstruct the intended contract, trace the real execution path, implement the smallest source fix, and verify it with a regression test.

What is the best way to debug software failures without using band-aid patches?

Debugging software failures without band-aids requires rejecting null checks, retries, catch-and-continue, and default-on-error suppressions, tracing the observed failure to its root mechanism before applying a source fix.

How do I diagnose broken agent workflows and regressions before changing code?

Diagnose broken agent workflows and regressions by reproducing the issue, reconstructing the contract, and tracing the execution path to prove the root cause before implementing any code change.

When should I avoid quick patches like catch-and-continue during failure diagnosis?

Avoid quick patches like catch-and-continue during failure diagnosis when they only suppress the signal, requiring proof of the root mechanism through execution path tracing before applying a source fix.

Can I verify a root cause fix for runtime errors when full automated testing is unavailable?

You can verify a root cause fix for runtime errors using a regression test, or by performing an explicit human check when full automated verification is unavailable.

Does root-cause-first work for diagnosing architecture issues and failing tests?

Root-cause-first applies to diagnosing architecture issues, failing tests, runtime errors, flaky behavior, regressions, and broken agent workflows where the root cause must be proven before any code change.