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.
A markdown template for taking notes to summarize research papers.
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.
Research notes on maintaining and reasoning about LLM context windows across long-lived projects. Speculative ideas, heuristic boundaries, and design sketches without empirical validation.
Structured workflow notes for Zn battery electrolyte and interface analysis
An experimental research project developing a foundational theory of frameworks — the structures through which the human mind constructs and engages with reality.
Stanford AI for Lean Club progress on Erdős problems: papers, frontier notes, visualizer data, and Lean formalization.
Sunzi Reading / 孙子读论文 Skill: turn dense academic papers into short, warm, beginner-friendly explanations and reading notes.
A framework for clustering research notes
前沿物理仿真与智能感知技术调研资料库 | Frontier physics simulation research notes
Notes & experiments on LLMs, open-weight models, multimodal systems, and cloud deployment.
SDFI emerges specifically under conditions of recursive self-description and sustained high semantic density, not in ordinary task-oriented interaction.This work is intended as a reference for researchers and system designers thinking about neutrality, termination behavior, and control surfaces in future AI systems.
Working notes from Anteroom Studio on AGI and the problems that precede it — consciousness, substrate, emergence, the hard problem.
Vulnerability Research notes
An introduction to actors with working Akka example to demonstrate an actor based approach to concurrency and it's affect of software design on scalability.
A long-term, from-first-principles journey through machine learning and deep learning, centered on Dive into Deep Learning and extended with mathematical, probabilistic, and systems level understanding.
Public engineering and science notes from VACSO's hydrogen direct reduction of iron (H₂-DRI) program — chemistry, modelling, hardware, lab protocols.
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