When should I avoid using this skill?

Do not use it for questions easily answered by documentation, common patterns with established solutions, or as a first attempt at debugging a simple issue.

What is the primary purpose of the GPT-5 Consultant skill?

It acts as a third-party expert to provide a fresh perspective when you are stuck in circular debugging or facing a complex architectural decision where standard approaches have failed.

What is 'reasoning effort' in this context?

It is a parameter used to define the depth of analysis: 'high' is used for novel architecture, 'medium' for debugging, and 'low' for more straightforward technical queries.

Does this skill require additional setup?

Yes, it requires the gpt5-mcp-server to be installed and running locally to provide the necessary tools like gpt5_generate and gpt5_messages.

How does the skill handle circular debugging?

It gathers the entire timeline of attempts, errors, and user frustrations to present a comprehensive case study to GPT-5, identifying fundamental misunderstandings that lead to repetitive failures.

GPT-5 Expert Consultant

Name: GPT-5 Expert Consultant
Author: Activer007

byActiver007

생산성 및 워크플로

Provides high-level technical consulting by leveraging GPT-5 to break through complex debugging impasses and provide architectural guidance.

소개

The GPT-5 Consultant skill empowers Claude to act as a specialized analytical advisor when standard problem-solving efforts reach a plateau. Designed for scenarios involving circular logic, obscure edge cases, or high-stakes architectural decisions, this skill helps identify why previous solutions failed and offers a fresh, high-reasoning perspective. It streamlines the process of gathering technical context, formulating advanced queries, and synthesizing expert-level recommendations to help developers overcome stubborn technical blocks.

주요 기능

0 GitHub stars
Comprehensive context gathering of debugging history and failed attempts
Circular debugging detection to identify when a fresh perspective is needed
Structured result synthesis with confidence levels and implementation warnings
Support for single-shot architectural reviews and multi-turn deep dives
Automated query formulation for high-reasoning GPT-5 analysis

사용 사례

Breaking out of infinite debugging loops where standard fixes and logs are insufficient
Evaluating complex architectural trade-offs such as system topology or data modeling
Resolving novel technical challenges that lack established documentation or community precedents

소개

주요 기능

0 GitHub stars
Comprehensive context gathering of debugging history and failed attempts
Circular debugging detection to identify when a fresh perspective is needed
Structured result synthesis with confidence levels and implementation warnings
Support for single-shot architectural reviews and multi-turn deep dives
Automated query formulation for high-reasoning GPT-5 analysis

사용 사례

Breaking out of infinite debugging loops where standard fixes and logs are insufficient
Evaluating complex architectural trade-offs such as system topology or data modeling
Resolving novel technical challenges that lack established documentation or community precedents