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vibe-sunsang-mentor

Analyze Codex conversations to identify prompt quality issues and collaboration anti-patterns.

114|19|Updated Apr 24, 2026
Search Tags:#codex#coaching#ai-collaboration#antipatterns#prompt-quality#growth-axes#workspace-types
One-click install
npx skills add https://github.com/fivetaku/gptaku-plugins-codex --skill vibe-sunsang-mentor-fivetaku
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vibe-sunsang-mentor
Source: https://github.com/fivetaku/gptaku-plugins-codex/tree/main/plugins/vibe-sunsang-codex/skills/vibe-sunsang-mentor
Command: npx skills add https://github.com/fivetaku/gptaku-plugins-codex --skill vibe-sunsang-mentor-fivetaku

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coaches AI collaboration quality from recent Codex conversations using workspace type, prompt quality, anti-patterns, and the six growth axes. Use when the user says "멘토링해줘", "코칭해줘", "요청 코칭", "뭘 잘못하고 있는지", or "improve my AI collaboration".

Core Features & Use Cases

  • Analyze Codex conversations to identify prompt quality issues and collaboration anti-patterns.
  • Load mode-specific knowledge to tailor coaching for workspace types and growth axes.
  • Provide concrete, actionable feedback and a small practice for the next session.

Quick Start

Provide your Codex conversations and workspace config, then ask the mentor to begin coaching.

Frequently Asked Questions about vibe-sunsang-mentor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get coaching on my AI collaboration patterns from Codex conversations?▼

AI collaboration coaching analyzes your Codex conversations to identify prompt quality issues and anti-patterns, then generates structured feedback. You need to provide converted conversations and a workspace-type configuration to start.

What are collaboration anti-patterns in Codex sessions and how are they identified?▼

Collaboration anti-patterns in Codex sessions are inefficient prompt structures or interaction habits. The mentor identifies them by evaluating your conversations against mode-specific knowledge and workspace types to guide targeted coaching.

How do I analyze prompt quality across different workspace types?▼

Analyzing prompt quality across workspace types requires loading a workspace-type configuration and relevant knowledge references. This tailors the evaluation of your Codex sessions to identify specific growth axes for improvement.

Can I use this coaching approach for any AI session, or does it require Codex specifically?▼

This coaching approach requires Codex specifically, as it evaluates Codex conversations, workspace types, and prompt quality to generate guidance tailored to the Codex environment across multiple modes.

What do I need to prepare before starting AI collaboration coaching?▼

Before starting AI collaboration coaching, you need converted Codex conversations, a workspace-type configuration, and relevant knowledge references. These allow the mentor to load mode-specific guidance and generate structured feedback.

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