rag-personalizer
Transform textbook content based on the 10-dimension user profile to provide personalized learning experiences.
npx skills add majiayu000/claude-skill-registry --skill rag-personalizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# RAG Personalizer **Agent:** AIEngineer Transform textbook content based on a 10-dimension user profile to provide personalized learning experiences. This skill takes RAG-retrieved content and adapts it to match individual learner preferences, knowledge level, and learning style. ## Quick Setup ```bash # Set environment variables export OPENAI_API_KEY="sk-..." export QDRANT_URL="https://xxx.qdrant.io" # Optional export QDRANT_API_KEY="your-api-key" # Optional # Create a user profile .claude/skills/rag-personalizer/scripts/setup.sh --create-profile user123 # Personalize content for a query .claude/skills/rag-personalizer/scripts/setup.sh --personalize "What is ROS 2?" --profile user123 # Update profile dimensions .claude/skills/rag-personalizer/scripts/setup.sh --update-profile user123 --dimension learning_style --value visual ``` ## The 10-Dimension User Profile | # | Dimension | Options | Default | |---|-----------|---------|---------| | 1 | `learning_style` | visual, auditory, kinesthetic, reading | reading | | 2 | `knowledge_level` | beginner, intermediate, advanced | beginner | | 3 | `learning_pace` | slow, moderate, fast | moderate | | 4 | `language` | en, ur | en | | 5 | `co
- Quick Setup
- The 10-Dimension User Profile
- Command Options
- What It Does
- 1. Profile Management
- 2. Content Personalization
- 3. Adaptive Strategies by Dimension
- 4. Integration with RAG
- Bundled Resources
- 1. Python Dependencies
- 2. Profile Schema
- 3. Personalization Prompts
- 4. Personalizer Module
- 5. Test Suite
Set environment variables export OPENAI_API_KEY="sk-..." export QDRANT_URL="https://xxx.qdrant.io" # Optional export QDRANT_API_KEY="your-api-key" # Optional Create a user profile Personalize content for a query Update profile dimensions Run tests Add to .env file Create with defaults
What does the rag-personalizer skill do?
Transform textbook content based on the 10-dimension user profile to provide personalized learning experiences.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill rag-personalizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.