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PAISHU-AI
PAISHU-AICOMMUNITY
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yonghu-preferences

Maintain a durable, auditable user preference profile for Codex interactions.

Updated Aug 23, 2026
Search Tags:#collaboration#memory management#project governance#user preferences#user modeling
One-click install
npx skills add https://github.com/PAISHU-AI/PAI-zong-NB --skill yonghu-preferences
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: yonghu-preferences
Source: https://github.com/PAISHU-AI/PAI-zong-NB/tree/main/skills/yonghu-preferences
Command: npx skills add https://github.com/PAISHU-AI/PAI-zong-NB --skill yonghu-preferences

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and user-skills (resource) components.

What problem does it solve?

This Skill provides a framework to maintain a durable, auditable user preference profile, guiding Codex across projects and future sessions without guessing or storing sensitive data.

Core Features & Use Cases

  • User Preference Profile: Record and maintain stable user preferences about software projects, UI, prompts, skills, documentation, and collaboration.
  • Preference Management: Use explicit or repeated preferences to govern how Codex works, improving future work without storing sensitive data.
  • Use Case: Imagine you have a series of software projects and want Codex to consistently handle UI preferences, documentation standards, and code review processes in a particular way.

Quick Start

Use the yonghu-preferences skill to update your preferred UI style.

Frequently Asked Questions about yonghu-preferences

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

FAQPage Schema
How do I maintain a durable user preference profile for AI interactions across multiple projects?▼

A durable user preference profile records stable preferences regarding UI, documentation, and collaboration to consistently govern AI interactions across projects without storing sensitive data.

What is the best way to manage user modeling and memory for project governance?▼

User modeling and memory management for project governance require structured preference recording and evidence management to ensure AI actions remain auditable and aligned with user standards.

How do I record explicit preferences to improve collaboration and code review processes?▼

Recording explicit preferences involves applying structured preference management to govern collaboration standards, ensuring AI consistently applies your code review processes and documentation formats.

Can I use auditable preference management to guide AI without exposing sensitive user data?▼

Auditable preference management allows you to govern AI behavior using explicit or repeated preferences, improving future work across sessions while ensuring sensitive user data is not stored.

When do I need structured preference recording for user skill governance?▼

Structured preference recording is needed when you want AI to consistently handle specific UI styles, documentation standards, and code review processes across a series of software projects.

Why does my AI assistant keep ignoring my documentation standards across different sessions?▼

AI ignores documentation standards across sessions when a durable, auditable user preference profile is not maintained, requiring structured preference recording to govern future interactions.

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