awf-adaptive-language

Adjust AI language and explanations to the user's technical level from preferences.json.

209|94|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/TUAN130294/awf --skill awf-adaptive-language
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: awf-adaptive-language
Source: https://github.com/TUAN130294/awf/tree/main/awf_skills/awf-adaptive-language
Command: npx skills add https://github.com/TUAN130294/awf --skill awf-adaptive-language

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automatically adjusts the AI's language and explanations to match the user's technical level, reducing confusion and improving comprehension.

Core Features & Use Cases

  • Automatic terminology adaptation based on preferences.json (local or global) to drive context.
  • Personality-mode aware explanations (mentor, strict_coach) to align with user needs.
  • Silent session-context setup that applies language rules across all AWF workflows.

Quick Start

Set the user's technical level by filling preferences.json (and optional personality) so the AI adapts language from session start.

Frequently Asked Questions about awf-adaptive-language

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

FAQPage Schema
How do I adjust AI language and terminology to my technical level?

AI language and terminology adapt to your technical level by reading your expertise settings from preferences.json, automatically tailoring explanations, examples, and guidance to match your proficiency at session start.

What is session-context setup in AWF workflows for adaptive language?

Session-context setup in AWF workflows is a silent process that applies language rules across all active workflows, ensuring consistent terminology adaptation without requiring manual configuration during your interaction.

How do I set up preferences.json to change AI personality modes?

To change AI personality modes, set your technical level and optional personality traits in local .brain/preferences.json or global ~/.antigravity/preferences.json, which the AI reads to apply mentor or strict_coach modes.

Can I apply different personality modes for AI explanations across sessions?

Yes, you can apply personality modes like mentor or strict_coach across sessions by configuring them in preferences.json, ensuring the AI consistently aligns its explanations and guidance with your specified user needs.

Does terminology adaptation work for both newbie and developer expertise levels?

Terminology adaptation works for newbie, basic user, and developer expertise levels by reading the specified technical level from preferences.json and silently adjusting the session context to deliver appropriate explanations.

Why does AI language not adapt automatically when I start a new session?

AI language fails to adapt automatically if preferences.json is missing or unconfigured, preventing the session-context setup from reading your technical level and applying the necessary terminology and personality adjustments.