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.
Human Infra: docs-as-code knowledge base for human runtime infrastructure, longevity evidence, future-waiting paths, disembodied CNS concepts, and memory-editing boundaries.
A markdown template for taking notes to summarize research papers.
My Personal Blog (Robotics)
Obsidian-first LLM Wiki skill pack with ontology-ready bootstrap, canonical JSONL truth layers, and optional graph projection.
A lightweight, multilingual LaTeX framework adapted from kaobook for mathematics and computer science notes, developed alongside KAN research.
Research-backed notes and reproducible examples for battery thermal behavior, BTMS design thinking, and validation assumptions.
Sunzi Reading / 孙子读论文 Skill: turn dense academic papers into short, warm, beginner-friendly explanations and reading notes.
Local Markdown workspace for technical writing, research notes, security blogs, and static site publishing.
The map from the research we admire to the things we built because of it — with receipts.
Turning same-topic mixed materials into style-controlled Markdown notes, outlines, knowledge frameworks, and presentation outlines.
Deliver deep research with a 5-layer Claude skill for markets, products, competitors, regulations, and opportunities
Avi Loeb paper about 3I/ATLAS
Research notes on maintaining and reasoning about LLM context windows across long-lived projects. Speculative ideas, heuristic boundaries, and design sketches without empirical validation.
A ChatGPT-to-Obsidian capture plugin for AI-assisted learning and research notes.
Structured workflow notes for Zn battery electrolyte and interface analysis
Chain-of-density study of 'Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation' (Yang, Zhao, Wu & Kästner 2026, CMU, arXiv:2607.08938) - five-tier note, locator-verified. SLM agents, meta-agent harness optimization.
A curated repository of technical research notes, paper summaries, and study logs exploring AI architectures, software engineering principles, and cloud computing best practices.
Chain-of-density study of 'Recursive Language Models' (Zhang, Kraska & Khattab 2025, MIT CSAIL, arXiv:2512.24601) - five-tier note, locator-verified. The prompt-as-environment paradigm Trellis implements: REPL offloading, recursive sub-calls, 10M+ token inputs.
A Markdown research portfolio on AI, robotics, and technical strategy.
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