How does this skill handle cleanup?

Once an investigation is closed, the skill is designed to identify and remove temporary investigation logs and instrumentation files to ensure the codebase remains clean.

Can this skill help with production issues?

Yes, it provides a structured plan for gathering evidence and analyzing existing signals like traces and config diffs when direct reproduction in production is not possible.

What tool does this skill use for instrumentation?

It prioritizes using debugsk, a local HTTP ingest logger, to capture signals during the investigation without contaminating the application's permanent native logs.

What is a hypothesis-driven debugging workflow?

It is a scientific approach that involves forming multiple competing theories about a bug, predicting what evidence would prove or disprove them, and then testing those predictions through controlled instrumentation.

Hypothesis-Driven Debugging

Name: Hypothesis-Driven Debugging
Author: abekdwight

byabekdwight

0•

分析与监控

Systematizes the debugging process using hypothesis-driven workflows and isolated instrumentation to resolve regressions, incidents, and flaky tests.

This skill equips Claude with a rigorous, scientific approach to software debugging, moving beyond guesswork toward evidence-based root cause analysis. It facilitates a standardized loop of clarifying bugs, generating competing hypotheses, planning instrumentation via the debugsk local logger, and executing controlled reproductions. By separating observed facts from inferences and utilizing binary-search narrowing techniques, it helps developers quickly isolate issues in local, staging, or production environments without contaminating native logs or infrastructure.

主要功能

01Isolated instrumentation using local HTTP ingest logging via debugsk

02Binary-search style narrowing of candidate code paths

03Automated cleanup of investigation logs and temporary probes

04Standardized hypothesis-driven investigation workflow

05Strict separation of observed facts from speculative inferences

060 GitHub stars

使用场景

01Investigating intermittent or flaky test failures in CI/CD or local environments

02Narrowing down complex concurrency issues or state-dependent bugs

03Performing root cause analysis for production incidents and regressions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add abekdwight/code-debug-skills code-debug-skill

For use in Claude.ai and ChatGPT

Download Skill