What is 'circular debugging' in this context?

Circular debugging refers to situations where you repeatedly try different fixes that all fail for unclear reasons, leading to frustration and a lack of tangible progress on a specific technical issue.

What kind of context should I provide to the consultant?

You should provide the original goal, a timeline of failed attempts, full error messages/stack traces, relevant code snippets, and specific questions regarding the current impasse.

When should I use the GPT-5 Consultant skill?

Use this skill when you are stuck in a debugging loop, solutions aren't working despite multiple attempts, or you need high-level architectural guidance on a novel problem where standard approaches have failed.

Does this skill require a separate server?

Yes, it requires the gpt5-mcp-server to be installed and running locally to facilitate the communication tools between Claude and the GPT-5 model.

Can this skill handle multi-turn conversations?

Yes, it utilizes the gpt5_messages tool for iterative refinement, allowing you to ask follow-up questions and drill down into specific implementation details after an initial analysis.

GPT-5 Consultant

Name: GPT-5 Consultant
Author: Activer007

byActiver007

개발자 도구

Escalates complex technical impasses and architectural decisions to GPT-5 for expert-level diagnostic perspective.

소개

The GPT-5 Consultant skill is a specialized escalation layer for Claude Code designed to break through 'circular debugging' cycles and resolve highly complex architectural challenges. When standard troubleshooting fails or you encounter novel edge cases without clear documentation, this skill gathers full context—including failed attempts, stack traces, and system constraints—and consults GPT-5 as a high-reasoning third-party expert. It provides a structured framework for diagnostic synthesis, offering deep analytical reasoning and alternative perspectives to move projects forward when developers reach a technical impasse.

주요 기능

0 GitHub stars
Automates comprehensive context gathering including error logs and failed attempts
Offers confidence assessments and prioritized implementation recommendations
Provides multi-turn conversation support for iterative problem-solving
Breaks circular debugging loops with fresh analytical perspectives
Supports high-reasoning architectural decision-making and trade-off analysis

사용 사례

Evaluating architectural tradeoffs between different technology stacks or complex design patterns
Navigating novel technical challenges involving undocumented APIs or bleeding-edge technologies
Resolving persistent 'unsolved' bugs where standard fixes repeatedly fail to work

소개

주요 기능

0 GitHub stars
Automates comprehensive context gathering including error logs and failed attempts
Offers confidence assessments and prioritized implementation recommendations
Provides multi-turn conversation support for iterative problem-solving
Breaks circular debugging loops with fresh analytical perspectives
Supports high-reasoning architectural decision-making and trade-off analysis

사용 사례

Evaluating architectural tradeoffs between different technology stacks or complex design patterns
Navigating novel technical challenges involving undocumented APIs or bleeding-edge technologies
Resolving persistent 'unsolved' bugs where standard fixes repeatedly fail to work