Interactive explainer pages for AI research papers. Every technical term defined, every concept grounded in analogy.
| Paper | Link | Published |
|---|---|---|
| LoRA: Low-Rank Adaptation of Large Language Models | Read the explainer | June 2021 |
| Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory | Read the explainer | April 14, 2026 |
| Fast KV Compaction via Attention Matching | Read the explainer | April 13, 2026 |
| Avatar V | Read the explainer | April 13, 2026 |
The skill/ directory contains a Claude Code skill that generates these pages from a paper URL.
npx skills add https://github.com/terencecho/research-explained --skill skillIn Claude Code, provide a paper URL:
/research-explainer https://arxiv.org/pdf/some-paper.pdf
Or just say "explain this paper" with a PDF link.
- Single-file HTML page with all CSS/JS inline
- Sticky sidebar table of contents with scroll tracking
- Hover tooltips on every technical term
- Searchable glossary panel
- Real-world analogies for each concept
- Styled architecture diagrams and pipeline visualizations
- HyperFrames motion graphics for concepts hard to explain with text
- Embedded demo videos from the paper's project page
- Interactive Turing test (if applicable)
- Comprehension quizzes
- Deployable to GitHub Pages