Overview

Scientific Agent Skills is the premier library designed to transform any AI agent into a powerful scientific research assistant. This comprehensive collection empowers your AI with 163 ready-to-use scientific skills and access to over 100 scientific databases, making it an indispensable tool for researchers worldwide. Compatible with major AI platforms and adhering to the open Agent Skills standard, this repository bridges the gap between AI capabilities and complex scientific workflows.

Key Features

• Extensive Skill Library: Access 163 expertly crafted skills covering a vast array of scientific disciplines, from bioinformatics and drug discovery to materials science and clinical research.
• Vast Data Integration: Seamlessly query over 100 scientific and financial databases, including PubChem, ChEMBL, UniProt, ClinicalTrials.gov, FRED, and many more, providing rich, up-to-date information.
• Broad AI Compatibility: Designed to work with leading AI agents and platforms that support the open Agent Skills standard, including Cursor, Claude Code, Codex, Google Antigravity, and others.
• Optimized Package Workflows: Features explicitly defined, version-aware skills for over 70 popular Python scientific packages (e.g., RDKit, Scanpy, PyTorch Lightning, scikit-learn, GeoPandas, pymatgen), ensuring robust and reliable execution.
• Scientific Integration: Includes dedicated skills for integrating with major scientific platforms like Benchling, DNAnexus, Protocols.io, and LabArchives.
• Accelerated Research: Significantly reduces the time spent on API documentation research, integration setup, and complex multi-step workflow execution.
• Comprehensive Documentation: Every skill comes with detailed documentation, practical code examples, use cases, best practices, and integration guides.
• Open Source & Community Driven: Actively maintained, regularly updated, and built with community contributions in mind, fostering transparency and continuous improvement.

Typical Use Cases

• AI-Powered Scientific Research: Empower your AI agent to perform complex analyses, literature reviews, hypothesis generation, and experimental protocol drafting across biology, chemistry, medicine, physics, and engineering.
• Drug Discovery & Cheminformatics: Accelerate lead optimization, virtual screening, ADMET analysis, and molecular docking with specialized skills.
• Bioinformatics & Genomics: Conduct sequence analysis, gene regulatory network analysis, variant annotation, and single-cell RNA-seq studies.
• Clinical Research & Evidence Workflows: Support pharmacogenomics, clinical trial analysis, PK/PD modeling, and evidence-based decision support research.
• Data Analysis & Visualization: Generate publication-quality figures, perform statistical and network analysis, and process large-scale datasets efficiently.
• Scientific Communication & Reporting: Facilitate evidence-traceable scientific writing, literature synthesis, confidential peer review, and the creation of scientific documents and presentations.
• Laboratory Automation & Integration: Streamline laboratory workflows by interacting with lab equipment control systems and LIMS.
• Materials Science & Chemistry: Analyze crystal structures, explore phase diagrams, and perform computational chemistry tasks.