Agent skill
claude-scientific-skills
Comprehensive collection of 128+ ready-to-use scientific skills for Claude enabling research across biology, chemistry, medicine, genomics, and advanced analysis domains.
Install this agent skill to your Project
npx add-skill https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/claude-scientific-skills
SKILL.md
Claude Scientific Skills Collection
A comprehensive collection of 128+ ready-to-use scientific skills that transforms Claude into an AI research assistant capable of executing complex multi-step scientific workflows.
Scientific Domains
๐งฌ Bioinformatics & Genomics
Sequence analysis, single-cell RNA-seq, gene regulatory networks, variant annotation, phylogenetic analysis
๐งช Cheminformatics & Drug Discovery
Molecular property prediction, virtual screening, ADMET analysis, molecular docking, lead optimization
๐ฌ Proteomics & Mass Spectrometry
LC-MS/MS processing, peptide identification, spectral matching, protein quantification
๐ฅ Clinical Research & Precision Medicine
Clinical trials, pharmacogenomics, variant interpretation, drug safety, precision therapeutics
๐ง Healthcare AI & Clinical ML
EHR analysis, physiological signal processing, medical imaging, clinical prediction models
๐ผ๏ธ Medical Imaging & Digital Pathology
DICOM processing, whole slide image analysis, computational pathology, radiology workflows
๐ค Machine Learning & AI
Deep learning, reinforcement learning, time series analysis, model interpretability, Bayesian methods
๐ฎ Materials Science & Chemistry
Crystal structure analysis, phase diagrams, metabolic modeling, computational chemistry
๐ Physics & Astronomy
Astronomical data analysis, cosmological calculations, symbolic mathematics, physics computations
โ๏ธ Engineering & Simulation
Discrete-event simulation, optimization, metabolic engineering, systems modeling
Included Skill Categories
- 26+ Scientific Databases - OpenAlex, PubMed, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov
- 54+ Python Packages - RDKit, Scanpy, PyTorch, scikit-learn, BioPython, PennyLane, Qiskit
- 15+ Scientific Integrations - Benchling, DNAnexus, LatchBio, OMERO, Protocols.io
- 20+ Analysis & Communication Tools - Literature review, scientific writing, peer review
Getting Started
Each skill within this collection includes:
- Comprehensive documentation (SKILL.md)
- Practical code examples
- Use cases and best practices
- Integration guides
- Reference materials
Explore the scientific-skills/ subdirectory for individual skill implementations and detailed documentation.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
nondominium-holochain-dna-dev
Specialized skill for nondominium Holochain DNA development, focusing on zome creation, entry patterns, integrity/coordinator architecture, ValueFlows compliance, and WASM optimization. Use when creating new zomes, implementing entry types, or modifying Holochain DNA code.
fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
run-tests
Validate code changes by intelligently selecting and running the appropriate test suites. Use this when editing code to verify changes work correctly, run tests, validate functionality, or check for regressions. Automatically discovers affected test suites, selects the minimal set of venvs needed for validation, and handles test execution with Docker services as needed.
skill-navigator
The 100th skill! Your intelligent guide to all 99 other skills. Recommends the perfect skill for any task, creates skill combinations, and helps you discover capabilities you didn't know you had.
AgentDB Advanced Features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Didn't find tool you were looking for?