Can I use it for high-level architectural decisions?

Absolutely. It is ideal for evaluating complex system designs, weighing trade-offs between different tech stacks, and identifying potential implementation risks early.

Does this skill require additional configuration?

Yes, this skill requires the gpt5-mcp-server to be installed and running locally to access the necessary analysis tools.

How does it help with debugging differently than standard Claude?

It uses a structured workflow to gather the entire history of the conversation and technical context, presenting it to a high-reasoning model specifically to gain a 'third-party' expert perspective.

When should I use the GPT-5 Consultant skill?

Use this skill when you are stuck in a circular debugging loop, solutions aren't working despite multiple attempts, or the user is frustrated with the lack of progress on a complex technical issue.

What is the difference between gpt5_generate and gpt5_messages?

The gpt5_generate tool is for single-shot, high-effort analysis, while gpt5_messages allows for multi-turn conversations to refine details and ask follow-up questions.

GPT-5 Consultant

Name: GPT-5 Consultant
Author: Activer007

byActiver007

開発者ツール

Breaks through circular debugging loops and complex technical impasses by providing high-level expert analysis and fresh perspectives.

概要

The GPT-5 Consultant skill acts as a specialized technical advisor for Claude when standard problem-solving approaches reach a dead end. By integrating with the gpt5-mcp-server, it enables Claude to package a comprehensive history of failed attempts, error logs, and system constraints into a structured brief for advanced analytical review. This skill is specifically designed to resolve 'impossible' bugs, guide high-stakes architectural decisions, and navigate novel technical challenges where traditional documentation or common patterns fall short.

主な機能

High-reasoning analysis for architectural trade-offs and novel technical problems
0 GitHub stars
Structured context gathering including attempt history, error traces, and system state
Multi-turn consultation capabilities for iterative solution refinement
Circular debugging detection to identify when Claude is stuck in an logic loop
Actionable result synthesis that ranks recommendations by priority and impact

ユースケース

Evaluating complex architectural decisions like selecting between event sourcing and CRUD patterns
Debugging distributed systems or obscure edge cases in novel tech stacks with limited documentation
Resolving persistent unhandled promise rejections or silent failures that defy standard fixes

概要

主な機能

High-reasoning analysis for architectural trade-offs and novel technical problems
0 GitHub stars
Structured context gathering including attempt history, error traces, and system state
Multi-turn consultation capabilities for iterative solution refinement
Circular debugging detection to identify when Claude is stuck in an logic loop
Actionable result synthesis that ranks recommendations by priority and impact

ユースケース

Evaluating complex architectural decisions like selecting between event sourcing and CRUD patterns
Debugging distributed systems or obscure edge cases in novel tech stacks with limited documentation
Resolving persistent unhandled promise rejections or silent failures that defy standard fixes