How does this skill prevent AI hallucinations during debugging?

It implements mandatory 'Assumption Validation Checkpoints' and 'Evidence Chain Validations' that force the AI to verify every claim with actual code snippets before proceeding.

Is this skill restricted to .NET and Angular environments?

While the skill is specifically optimized for .NET and Angular patterns (CQRS, Message Bus, etc.), its systematic analysis methodology is effective for any complex full-stack environment.

How does it handle large projects that exceed context limits?

It uses an 'External Memory-Driven' approach by maintaining a structured knowledge model in a temporary markdown file, ensuring context is preserved across long debugging sessions.

Does it automatically modify my source code?

The skill includes an 'Approval Gate' phase where it must present a prioritized fix strategy and risk assessment for user approval before executing any changes.

Expert Bug Diagnosis & Debugging

Name: Expert Bug Diagnosis & Debugging
Author: CongDon1207

byCongDon1207

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安全与测试

Diagnoses and fixes complex bugs in full-stack .NET and Angular applications using a systematic, evidence-based approach.

This skill transforms Claude into an expert full-stack engineer specialized in debugging .NET and Angular ecosystems. It utilizes a rigorous multi-phase process that includes structured memory management, anti-hallucination protocols, and evidence-chain validation to identify root causes across technical, business logic, and integration dimensions. By maintaining a persistent task list and detailed knowledge graph, it ensures complex issues are traced from frontend components through controllers and background jobs to the underlying domain logic without losing context.

主要功能

01Systematic multi-phase debugging workflow with structured memory logging

02Comprehensive knowledge graph construction for complex service-to-service interactions

03Rigorous anti-hallucination protocols including assumption validation checkpoints

04Full-stack .NET and Angular specific analysis patterns and error boundary tracing

051 GitHub stars

06Evidence-based root cause analysis across technical, data, and environmental dimensions

使用场景

01Investigating cryptic stack traces or production errors in .NET/Angular projects

02Validating business logic inconsistencies between frontend UI and backend services

03Debugging cross-service communication issues and message bus consumer failures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add congdon1207/agents.md bug-diagnosis

For use in Claude.ai and ChatGPT

Download Skill