Why Use This This skill provides specialized capabilities for Microck's codebase.
Use Cases Developing new features in the Microck repository Refactoring existing code to follow Microck standards Understanding and working with Microck's codebase structure
Install Guide 2 steps 1 2 Install inside Ananke
Click Install Skill, paste the link below, then press Install.
https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/claude-scientific-skills Skill Snapshot Auto scan of skill assets. Informational only.
Valid SKILL.md Checks against SKILL.md specification
Source & Community
Updated At Dec 4, 2025, 10:14 PM
Skill Stats
SKILL.md 59 Lines
Total Files 1
Total Size 0 B
License NOASSERTION
---
name: claude-scientific-skills
description: Comprehensive collection of 128+ ready-to-use scientific skills for Claude enabling research across biology, chemistry, medicine, genomics, and advanced analysis domains.
---
# 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.