Agent Skills Hub

exa

Neural web search and code context retrieval via Exa AI. Ideal for documentation, technical research, code examples, and company intelligence.

data-visualization

Create professional data visualizations with Python using matplotlib, seaborn, and plotly. Includes chart selection guidance, design principles, accessibility standards, and code patterns for publication-quality figures.

pysam

Genomic file toolkit for NGS data processing. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences using Pysam with a Pythonic interface to htslib.

ml-pipeline-workflow

Build and orchestrate end-to-end MLOps pipelines covering data preparation, training, validation, and automated deployment.

paper-plan

Generate a structured academic paper outline from research narrative, experiment data, and review conclusions.

data-storytelling

Transform raw data into compelling, decision-driving narratives using visualization strategies, story frameworks, and persuasive structures for analytics and executive reporting.

scikit-learn

Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.

scientific-visualization

Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.

data-viz-plots

Create publication-quality plots and visualizations using matplotlib and seaborn. Works locally with any LLM.