Skills matching the name, description or GitHub author.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioin...
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, pro...
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
Expert guide for creating Airalogy Protocols (AIMD), Assigners (Python logic), and Validation Models. Use this to design digital workflows and experiments.
python-controlを使用して、メカニカルシステムの状態空間モデルから伝達関数（Bode Plot）を計算・表示する
Use when "scientific computing", "astronomy", "astropy", "bioinformatics", "biopython", "symbolic math", "sympy", "statistics", "statsmodels", "scientific Python"
Use for Rapidata Python SDK tasks: authenticate with RapidataClient, submit labeling orders from datasets (compare/classification/ranking/free-text/locate/draw/select-words/timestamp), apply filters/settings/se...
Comprehensive computational mathematics toolkit for Claude Code agents. Provides tools for five core domains from MIT's Mathematics for Computer Science curriculum - Proofs (propositions, predicates, induction,...
Query PubMed and scientific databases for protocols, analyze biological data with Biopython, handle HIPAA-compliant data. Use for biology research, protocol searches, sequence analysis, or scientific data handl...
NCBI BLAST sequence similarity search using BioPython. Use when a user wants to run BLAST programmatically with blastn/blastp and retrieve results in JSON format.
Python development for scientific computing and SciTeX projects. Includes testing, debugging, ML practices, and environment management.
Analyze datasets using Python with pandas, numpy, and visualization libraries. Generates statistical summaries, identifies patterns, creates charts, and provides insights. Use when analyzing CSV/Excel files, ex...
SpatialData framework for handling spatial multi-modal and multi-scale data. Use this skill for questions about spatial omics data analysis, visualization, and the SpatialData Python ecosystem.
ENVI spatial transcriptomics analysis toolkit - comprehensive documentation with tutorials and Python source code
Scientific Python coding for economic research. Use when writing computational economics code, numerical methods, solvers, simulations, or research scripts.
Data analysis workflows and patterns for processing, analyzing, and visualizing data using Python data science libraries.
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.