What happens after three failed fix attempts?

The skill triggers an Escalation Protocol, forcing the AI to stop, re-read the original error messages, question its mental model of the code, and potentially flag the task as blocked for human intervention.

How does this skill prevent random code changes?

It enforces a strict hypothesis-testing rule where only one change is made at a time. If a change doesn't solve the problem, it is immediately reverted before the next attempt is made.

Which programming languages and frameworks are supported?

The skill includes built-in support for npm, vitest, pytest, jest, cargo, go test, dotnet, maven, gradle, swift build, xcodebuild, and make, covering most modern development environments.

Does this skill work with version control?

Yes, it utilizes git diff and git log to perform pattern analysis, helping the AI understand what recently changed in the code to cause the failure.

Systematic Debugging Protocol

Name: Systematic Debugging Protocol
Author: Elmmly

byElmmly

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安全与测试

Applies a structured root cause investigation protocol to resolve failing tests and persistent code defects without guesswork.

This skill transforms Claude's approach to troubleshooting from trial-and-error to a rigorous, multi-phase methodology designed to identify the actual root cause of software defects. It enforces a strict limit on fix attempts, requiring systematic error reproduction, pattern analysis, and single-variable hypothesis testing before any code is permanently changed. By integrating with dozens of language-specific test runners and version control tools, it ensures that every fix is verified through Test-Driven Development (TDD) principles while proactively blocking anti-patterns like shotgun debugging or symptom-fixing.

主要功能

01Support for 20+ test runners across JS, Python, Rust, Go, and Java

02Anti-pattern detection to prevent symptom-fixing and shotgun debugging

03Hypothesis-driven testing with mandatory revert-on-failure cycles

04Multi-phase root cause investigation protocol

05Automatic attempt tracking with built-in escalation logic

063 GitHub stars

使用场景

01Performing deep stack-trace analysis to find the origin of logic errors or environment issues

02Resolving persistent bugs where previous fix attempts have failed to address the root cause

03Investigating unexpected test failures in complex enterprise codebases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add elmmly/genie-team debugging

For use in Claude.ai and ChatGPT