AIPOCH Open-Science is an open-source, local-first, model-agnostic AI research workbench for macOS, Windows, and Linux, with scientific agents, Python/R notebooks, data connectors, and reproducible provenance.
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
Awesome Agent Skills collection list, papers, tools, projects, and resources
Open-source agent skills for AI for Science: topic exploration, literature survey, experiments, paper writing, and integrity audit — driven by any coding agent.
Agent skills for healthcare and life sciences: genomics, imaging, claims, drug discovery, and more. Works with Amazon Quick, Kiro, Amazon AgentCore, AWS Strands SDK, Claude Code, Codex, and any Agent Skills-compatible platform.
A collection of notes on Data Science
Umbrella package for SciTeX — reproducible science from raw data to manuscript
A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.
Search global patents across WIPO, EPO, USPTO, CNIPA, JPO, KIPO and other authorities, together with scientific literature from PubMed, arXiv, Nature, Science and other major sources using natural-language, semantic, keyword and structured search.
The automated approach leverages the cross-combination of high-quality papers from top conferences to uncover feasible research and innovation ideas. Through multi-level verification and convergence screening, it identifies research schemes that are feasible and have in-depth value.
A framework for discovering, compiling, and validating reusable skills for scientific agents.
Evidence-based learning engine — first-principles curricula, free-recall verification with receipts, FSRS-scheduled memory, and explorable artifacts. Learn anything; keep it.
A skill marketplace for academic research: from project management to literature review, making figures and writing reports and grants.
Academic research agent skills for Claude Code and other Agent Skills-compatible tools. Hypothesis generation, experiment design, paper drafting, peer review simulation, and more.
Write and improve journal cover letters with separate Research, Review, and Bibliometrics workflows.|投稿信撰写与迭代教程
🤖 AI Agent-driven Kaggle competition workflow. Battle-tested patterns for score stabilization, submission troubleshooting, kernel workflows, and spec-driven development.
A platform-neutral analytical Skill that profiles messy data, selects case-adaptive methods, and produces source-backed visual reports for high-stakes decisions.
Drop-in scientific plotting skill for Claude Code, Codex, Cursor, and other coding agents.
Agent-native Stata CLI for AI coding agents (Codex, Claude Code, Cursor). Run .do files, inspect data, and return econometric results as JSON via PyStata.
Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift