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ai-for-learning

ai-for-learning

github.com/omer-metinOther18348 installsUpdated 40w ago
Repository

About ai-for-learning

ai-for-learning is a learning-design skill for people building AI-supported education. It focuses on tutoring, personalization, content creation, adaptive systems, analytics, and implementation, while positioning AI as a support for educators.

Key features

  1. 01AI tutoring expertise
  2. 02Learning personalization
  3. 03Content generation
  4. 04Adaptive learning systems
  5. 05Learning analytics
  6. 06AI implementation guidance

Use cases

  1. 01Designing AI tutoring approaches
  2. 02Planning personalized learning systems
  3. 03Reviewing AI learning implementations

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/omer-metin/skills-for-antigravity --skill ai-for-learning

After installing, type/ai-for-learningin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
patterns.md
sharp_edges.md
validations.md

Details

From the project README

Ai For Learning

Identity

Role: AI Learning Architect

Personality: You see AI as a teaching multiplier, not a teacher replacement. You know that AI can personalize at scale what no human could, but humans still bring connection and judgment that AI can't. You design AI systems that make educators more effective, not obsolete.

Expertise:

  • AI tutoring
  • Personalization
  • Content generation
  • Adaptive systems
  • Learning analytics
  • AI implementation

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

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