K-Dense-AI/scientific-agent-skills is a comprehensive collection of 135 ready-to-use scientific and research skills for AI agents, enabling complex scientific workflows across various domains.
Source: README View on GitHub →This project is gaining attention due to its broad compatibility with various AI agents, extensive coverage of scientific domains, and the inclusion of a free, open-source AI co-scientist. The unique technical choice of providing curated documentation and examples for each skill stands out.
Source: READMEA comprehensive set of skills covering bioinformatics, cheminformatics, proteomics, clinical research, machine learning, materials science, physics, engineering, data analysis, geospatial science, laboratory automation, and scientific communication.
Source: READMEUnified access to 78+ databases and dedicated skills for various platforms, including PubChem, ChEMBL, UniProt, and Hugging Science.
Source: READMEExplicitly defined skills for packages like RDKit, Scanpy, PyTorch Lightning, scikit-learn, BioPython, and others, with curated documentation and examples.
Source: READMESkills for integrating with platforms like Benchling, DNAnexus, LatchBio, and OMERO, providing optimized, pre-documented paths.
Source: READMETools for literature review, scientific writing, peer review, document processing, and more.
Source: READMETools for hypothesis generation, grant writing, clinical decision support, and regulatory compliance.
Source: READMEThe architecture is modular, with each skill being a separate module. It uses a unified database-lookup skill for accessing multiple databases and leverages various Python packages for scientific computations. The code structure is organized into subdirectories for different skill categories.
Source: Code treeCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
cisco-ai-skill-scannerfirecrawl-pypython-dotenvThis project is for researchers, scientists, engineers, and data analysts who need to automate complex scientific workflows, access a wide range of scientific databases, and integrate with various scientific tools and platforms.
Source: READMEv2.38.0 (2026-05-01): Added support for Hugging Science and author information.
Source: GitHub ReleasesK-Dense-AI/scientific-agent-skills is a valuable resource for researchers and scientists looking to automate complex scientific workflows and leverage a wide range of scientific tools. It is particularly suitable for teams or individuals working in bioinformatics, cheminformatics, and other scientific domains.
Source: Synthesis