Why does this skill generate 5-7 hypotheses?

Generating multiple hypotheses prevents 'anchor bias,' ensuring that the AI considers diverse possibilities like network latency, data type mismatches, or race conditions instead of just the most obvious syntax error.

Why is logging added before the fix?

Strategic logging validates the primary hypothesis with real-time data flow. This confirms the diagnosis is correct before any permanent changes are made to the codebase.

How does it use MCP servers during debugging?

It leverages MCP servers for Firebase, PostgreSQL, and Supabase to query live data, verify table schemas, and check for null values, providing empirical evidence for the diagnosis.

When is the best time to trigger this skill?

You should use this skill whenever you encounter an error message, a 'not working' feature, a broken UI element, or a bug that hasn't been resolved by simple inspection.

Systematic Debugging & Root Cause Analysis

Name: Systematic Debugging & Root Cause Analysis
Author: T1nker-1220

byT1nker-1220

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分析と監視

Implements a rigorous diagnostic framework to identify and resolve software bugs through structured hypothesis testing and data validation.

The Systematic Debugging skill transforms Claude into a senior-level troubleshooting expert by enforcing a 'diagnosis-first' methodology. Instead of jumping to quick fixes, it guides the process through a comprehensive workflow: generating 5-7 distinct hypotheses, narrowing them down based on evidence, and using Model Context Protocol (MCP) servers to validate database states. By implementing strategic logging and requiring evidence-based confirmation before modifying code, this skill ensures that fixes address the actual root cause rather than just masking symptoms, making it indispensable for resolving complex, intermittent, or data-driven issues.

主な機能

01User-confirmed diagnosis summaries prior to code modification

02Multi-hypothesis generation (5-7 initial potential causes)

03Live database validation using MCP servers (Firebase, SQL, Supabase)

040 GitHub stars

05Strategic logging patterns to verify runtime behavior

06Evidence-based distillation to identify primary root causes

ユースケース

01Identifying schema mismatches between application code and remote databases

02Troubleshooting intermittent production errors with unclear stack traces

03Investigating complex race conditions and asynchronous logic failures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add t1nker-1220/.claude debugging-systematic

For use in Claude.ai and ChatGPT

主な機能

01User-confirmed diagnosis summaries prior to code modification

02Multi-hypothesis generation (5-7 initial potential causes)

03Live database validation using MCP servers (Firebase, SQL, Supabase)

040 GitHub stars

05Strategic logging patterns to verify runtime behavior

06Evidence-based distillation to identify primary root causes

ユースケース

01Identifying schema mismatches between application code and remote databases

02Troubleshooting intermittent production errors with unclear stack traces

03Investigating complex race conditions and asynchronous logic failures