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buiminhduc23011
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awf-customize

Configure and persist user-specific AI preferences in JSON files.

Updated Jul 6, 2026
Search Tags:#workflow#personalization#configuration#persona#settings#ai-tuning
One-click install
npx skills add https://github.com/buiminhduc23011/awf-for-codex --skill awf-customize
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: awf-customize
Source: https://github.com/buiminhduc23011/awf-for-codex/tree/main/skills/awf-customize
Command: npx skills add https://github.com/buiminhduc23011/awf-for-codex --skill awf-customize

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the issue of inconsistent AI behavior by allowing users to define and persist their preferred communication style, personality, and technical depth across different sessions and projects.

Core Features & Use Cases

  • Persona Configuration: Choose from predefined roles like Senior Dev, Mentor, or Supportive Partner, or define your own custom persona.
  • Workflow Customization: Set specific preferences for technical detail, autonomy levels, and feedback styles to match your current project needs.
  • Persistent Settings: Automatically save and load your preferences globally or per-project, ensuring the AI always interacts with you exactly how you want.

Quick Start

Invoke the customization workflow by typing the command awf-customize to begin setting up your personal AI preferences.

Frequently Asked Questions about awf-customize

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

FAQPage Schema
How do I configure persistent AI persona and workflow settings across sessions?▼

To configure persistent AI persona settings, you can define and save JSON-based configuration files that manage communication style and technical preferences locally or globally across sessions.

What is the best way to customize AI communication style and technical depth per project?▼

Customizing AI communication style and technical depth per project is achieved by defining specific workflow preferences and persisting them in local JSON configuration files for consistent behavior.

Can I use predefined roles like Senior Dev or Mentor for my AI persona configuration?▼

Yes, AI persona configuration supports choosing from predefined roles like Senior Dev, Mentor, or Supportive Partner, or alternatively defining a completely custom persona.

How does the system handle merging local and global settings during file system errors?▼

The system merges local and global settings by implementing dedicated fallback mechanisms, ensuring that file system errors do not disrupt the retrieval of your AI workflow preferences.

Does this workflow customization tool require any external dependencies to function?▼

No, this workflow customization tool does not require external dependencies, allowing you to directly manage and persist user-specific AI persona and settings configuration.

Why should I use JSON configuration files for managing AI behavior preferences?▼

Using JSON configuration files for managing AI behavior preferences ensures consistent storage, easy retrieval, and seamless merging of local and global settings across different project environments.

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