diff --git a/README.md b/README.md index 8a125bb..d5e2eb2 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,12 @@ # Claude Scientific Skills [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE.md) -[![Skills](https://img.shields.io/badge/Skills-148-brightgreen.svg)](#whats-included) +[![Skills](https://img.shields.io/badge/Skills-149-brightgreen.svg)](#whats-included) [![Databases](https://img.shields.io/badge/Databases-250%2B-orange.svg)](#whats-included) [![Agent Skills](https://img.shields.io/badge/Standard-Agent_Skills-blueviolet.svg)](https://agentskills.io/) [![Works with](https://img.shields.io/badge/Works_with-Cursor_|_Claude_Code_|_Codex-blue.svg)](#getting-started) -A comprehensive collection of **148+ ready-to-use scientific and research skills** (now including financial/SEC research, U.S. Treasury fiscal data, OFR Hedge Fund Monitor, and Alpha Vantage market data) for any AI agent that supports the open [Agent Skills](https://agentskills.io/) standard, created by [K-Dense](https://k-dense.ai). Works with **Cursor, Claude Code, Codex, and more**. Transform your AI agent into a research assistant capable of executing complex multi-step scientific workflows across biology, chemistry, medicine, and beyond. +A comprehensive collection of **149+ ready-to-use scientific and research skills** (now including financial/SEC research, U.S. Treasury fiscal data, OFR Hedge Fund Monitor, and Alpha Vantage market data) for any AI agent that supports the open [Agent Skills](https://agentskills.io/) standard, created by [K-Dense](https://k-dense.ai). Works with **Cursor, Claude Code, Codex, and more**. Transform your AI agent into a research assistant capable of executing complex multi-step scientific workflows across biology, chemistry, medicine, and beyond.

@@ -30,6 +30,7 @@ These skills enable your AI agent to seamlessly work with specialized scientific - ๐ŸŒŒ Physics & Astronomy - Astronomical data analysis, coordinate transformations, cosmological calculations, symbolic mathematics, physics computations - โš™๏ธ Engineering & Simulation - Discrete-event simulation, multi-objective optimization, metabolic engineering, systems modeling, process optimization - ๐Ÿ“Š Data Analysis & Visualization - Statistical analysis, network analysis, time series, publication-quality figures, large-scale data processing, EDA +- ๐ŸŒ Geospatial Science & Remote Sensing - Satellite imagery processing, GIS analysis, spatial statistics, terrain analysis, machine learning for Earth observation - ๐Ÿงช Laboratory Automation - Liquid handling protocols, lab equipment control, workflow automation, LIMS integration - ๐Ÿ“š Scientific Communication - Literature review, peer review, scientific writing, document processing, posters, slides, schematics, citation management - ๐Ÿ”ฌ Multi-omics & Systems Biology - Multi-modal data integration, pathway analysis, network biology, systems-level insights @@ -46,7 +47,7 @@ These skills enable your AI agent to seamlessly work with specialized scientific ## ๐Ÿ“ฆ What's Included -This repository provides **148 scientific and research skills** organized into the following categories: +This repository provides **149 scientific and research skills** organized into the following categories: - **250+ Scientific & Financial Databases** - Collectively, these skills provide access to over 250 databases and data sources. Dedicated skills cover PubMed, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov, SEC EDGAR, Alpha Vantage, and more; multi-database packages like BioServices (~40 bioinformatics services + 30+ PSICQUIC interaction databases), BioPython (38 NCBI sub-databases via Entrez), and gget (20+ genomics databases) account for the rest - **55+ Optimized Python Package Skills** - Explicitly defined skills for RDKit, Scanpy, PyTorch Lightning, scikit-learn, BioPython, pyzotero, BioServices, PennyLane, Qiskit, and others โ€” with curated documentation, examples, and best practices. Note: the agent can write code using *any* Python package, not just these; these skills simply provide stronger, more reliable performance for the packages listed @@ -91,7 +92,7 @@ Each skill includes: - **Multi-Step Workflows** - Execute complex pipelines with a single prompt ### ๐ŸŽฏ **Comprehensive Coverage** -- **148 Skills** - Extensive coverage across all major scientific domains +- **149 Skills** - Extensive coverage across all major scientific domains - **250+ Databases** - Collective access to 250+ databases and data sources spanning genomics, chemistry, clinical, financial, and more โ€” through dedicated database skills and multi-database packages like BioServices, BioPython, and gget - **55+ Optimized Python Package Skills** - RDKit, Scanpy, PyTorch Lightning, scikit-learn, BioServices, PennyLane, Qiskit, and others (the agent can use any Python package; these are the pre-documented, higher-performing paths) @@ -331,7 +332,7 @@ If so, **[K-Dense Web](https://k-dense.ai)** was built for you. It is the full A | Feature | This Repo | K-Dense Web | |---------|-----------|-------------| -| Scientific Skills | 148 skills | **200+ skills** (exclusive access) | +| Scientific Skills | 149 skills | **200+ skills** (exclusive access) | | Setup | Manual installation | **Zero setup, works instantly** | | Compute | Your machine | **Cloud GPUs and HPC included** | | Workflows | Prompt and code | **End-to-end research pipelines** | @@ -394,7 +395,7 @@ If so, **[K-Dense Web](https://k-dense.ai)** was built for you. It is the full A ## ๐Ÿ“š Available Skills -This repository contains **148 scientific and research skills** organized across multiple domains. Each skill provides comprehensive documentation, code examples, and best practices for working with scientific libraries, databases, and tools. +This repository contains **149 scientific and research skills** organized across multiple domains. Each skill provides comprehensive documentation, code examples, and best practices for working with scientific libraries, databases, and tools. ### Skill Categories @@ -452,9 +453,9 @@ This repository contains **148 scientific and research skills** organized across - Discrete-event simulation: SimPy - Data processing: Dask, Polars, Vaex -#### ๐Ÿ“Š **Data Analysis & Visualization** (14+ skills) +#### ๐Ÿ“Š **Data Analysis & Visualization** (15+ skills) - Visualization: Matplotlib, Seaborn, Plotly, Scientific Visualization -- Geospatial analysis: GeoPandas +- Geospatial analysis: GeoPandas, GeoMaster (comprehensive geospatial science covering remote sensing, GIS, spatial analysis, satellite imagery processing, and machine learning for Earth observation) - Network analysis: NetworkX - Symbolic math: SymPy - Document processing: Document Skills (PDF, DOCX, PPTX, XLSX)