Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Builds high-performance, incremental AI data transformation pipelines for vector databases and knowledge graphs.
Processes and analyzes mass spectrometry data for proteomics and metabolomics research using the OpenMS framework.
Applies industry-standard medicinal chemistry rules and structural alerts to filter and prioritize molecular compound libraries.
Manage, validate, and trace biological datasets using a FAIR-compliant data framework and standardized biological ontologies.
Processes whole slide images (WSI) for digital pathology by automating tissue detection and tile extraction for machine learning pipelines.
Generates interactive, publication-quality scientific and statistical charts using Plotly Express and Graph Objects.
Build and optimize Retrieval-Augmented Generation (RAG) systems using vector databases, embeddings, and sophisticated semantic search patterns.
Provides a comprehensive suite of 100+ molecular featurizers for converting chemical structures into machine learning-ready numerical representations.
Manages annotated data matrices for single-cell genomics and large-scale biological datasets using the AnnData framework.
Scales Python, pandas, and NumPy workflows across multiple cores or clusters for larger-than-memory datasets.
Queries and analyzes the OpenAlex database to search scholarly literature, track citations, and perform bibliometric analysis.
Automates the entire scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and advanced semantic search architectures.
Processes and visualizes massive tabular datasets with billions of rows using memory-efficient out-of-core DataFrames.
Creates, modifies, and analyzes professional Excel spreadsheets with automated formula recalculation and industry-standard financial formatting.
Processes and analyzes mass spectrometry data using Python for metabolomics and chemical identification.
Designs and implements evolutionary persistent memory architectures for AI agent systems using RAG and Knowledge Graphs.
Architects high-performance AI prompts using advanced complexity-based standards, attention management, and structural optimization patterns.
Implements advanced agentic patterns to prevent context saturation and optimize parallel execution within Claude Code environments.
Builds interactive, bespoke data visualisations with fine-grained SVG control using the d3.js library.
Optimizes AI models for resource-constrained edge devices using advanced quantization, memory management, and battery-smart inference patterns.
Performs rigorous statistical analysis, hypothesis testing, and APA-compliant reporting for academic and experimental research.
Trains and deploys complex neural network architectures within distributed E2B sandbox environments using Flow Nexus.
Manipulates, analyzes, and visualizes phylogenetic trees with advanced support for evolutionary event detection and NCBI taxonomy integration.
Provides a unified interface for rapid bioinformatics queries across 20+ genomic databases including Ensembl, AlphaFold, and NCBI.
Designs adaptive user-facing agent experts to create personalized product experiences and dynamic UX.
Designs and implements autonomous AI agents with sophisticated tool use, memory systems, and multi-agent orchestration.
Architects and implements robust autonomous AI agents with sophisticated tool use, memory systems, and multi-agent orchestration.
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Automates professional Excel spreadsheet creation, financial modeling, and data analysis with error-free formula verification.
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