DeepPaperNote is an agent skill for deep-reading a single paper and generating high-quality Obsidian-style research notes. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Obsidian-first LLM Wiki skill pack with ontology-ready bootstrap, canonical JSONL truth layers, and optional graph projection.
Turning same-topic mixed materials into style-controlled Markdown notes, outlines, knowledge frameworks, and presentation outlines.
Notes & experiments on LLMs, open-weight models, multimodal systems, and cloud deployment.
Turn Markdown research notes into a searchable index and static dashboard.
Mathematical modeling workspace for MCM-style analysis, report drafting, visualization, and reproducible experiment notes.
Experimental notes and Python implementations of Zeckendorf arithmetic, with empirical observations on simple physics test problems. Honest experimental research, not a finished paper.
Add a description, image, and links to the research-notes topic page so that developers can more easily learn about it.
To associate your repository with the research-notes topic, visit your repo's landing page and select "manage topics."