Can this skill be used for production environment issues?

Yes, it includes steps for gathering environment data and checking git logs to identify what changed, making it effective for both development and production bug hunting.

Does it support automated testing?

Absolutely. Phase 4 of the process requires writing a failing test that reproduces the bug before any implementation changes are made.

How does this skill improve Claude's default debugging?

It imposes a strict 5-phase discipline that prevents the AI from proposing fixes before it has proven it understands the root cause through reproduction and data tracing.

What happens if a fix doesn't work the first time?

The skill triggers a mandatory verification loop. If three consecutive fix attempts fail, it instructs Claude to stop and consult the human user regarding potential architectural flaws.

Systematic Debugger

Name: Systematic Debugger
Author: LayerDynamics

byLayerDynamics

0•

Security & Testing

Enforces a disciplined, multi-phase methodology for root cause investigation and verified bug resolution within Claude Code.

The Debug skill for Claude Code transforms the standard AI coding process into a rigorous engineering workflow that eliminates guesswork. By guiding Claude through structured phases—from initial root cause investigation and data flow tracing to hypothesis testing and mandatory verification loops—it ensures that technical issues are solved at their source rather than just treating symptoms. This skill is essential for maintaining code quality in complex systems, preventing regressions, and moving beyond 'guess-and-check' development patterns.

Key Features

01Built-in 'Red Flag' detection to halt ineffective patch cycles after three failed attempts

02Strict 'No Fix Without Root Cause' enforcement to prevent superficial patches

03Mandatory verification loops that require proof of success via failing-to-passing tests

040 GitHub stars

05Hypothesis-driven testing cycles that isolate variables one at a time

06Multi-component instrumentation strategies for tracing data flow across boundaries

Use Cases

01Standardizing a deterministic debugging process across a development team using Claude Code

02Resolving complex test failures and regressions that require deep architectural understanding

03Debugging unexpected behavior in multi-layered systems where the source of error is obscured

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add layerdynamics/lore debug

For use in Claude.ai and ChatGPT