Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Configures and optimizes Linux-based data science and machine learning environments with full hardware acceleration support.
Creates and manages professional spreadsheets with dynamic formulas, financial formatting standards, and advanced data analysis capabilities.
Guides developers through the methodical, step-by-step implementation of research papers to ensure deep understanding and reproducible results.
Optimizes LLM performance and reliability through advanced prompt engineering techniques and structured reasoning patterns.
Generates publication-quality scientific visualizations using TMLR styling and LaTeX rendering for research and academic reports.
Applies idiomatic JAX patterns and best practices to optimize scientific computing and machine learning workflows in Python.
Performs automated exploratory data analysis and generates comprehensive markdown reports for over 200 scientific file formats.
Bootstraps the REDUCE Computer Algebra System via Docker to perform Lie symmetry analysis on differential equations.
Automates the transition of trained machine learning models into production-ready API services and scalable cloud environments.
Builds, evaluates, and deploys code-first AI agents and multi-agent systems using Google's Agent Development Kit.
Automates laboratory liquid handling workflows by generating and optimizing Opentrons Protocol API v2 scripts for Flex and OT-2 robots.
Conducts comprehensive market analysis, industry trend tracking, and market sizing calculations to drive data-informed business decisions.
Decodes and analyzes the core architectural signals of the X recommendation engine, including SimClusters, RealGraph, and TweepCred.
Audits machine learning models and datasets to identify biases and ensure ethical compliance through fairness metrics and mitigation strategies.
Accesses, downloads, and analyzes French public open data from data.gouv.fr using a specialized Python library and integrated documentation.
Deploy machine learning models into production environments using robust APIs, containerization, and MLOps workflows.
Migrates codebases and prompts from legacy Claude models to Opus 4.5 across various API platforms.
Streamlines bioinformatics pipeline development and genomics data management on the DNAnexus cloud platform.
Performs rigorous statistical analysis, hypothesis testing, and APA-compliant reporting for academic and experimental research.
Optimizes AI models for resource-constrained edge devices using advanced quantization, memory management, and battery-smart inference patterns.
Implements advanced agentic patterns to prevent context saturation and optimize parallel execution within Claude Code environments.
Architects high-performance AI prompts using advanced complexity-based standards, attention management, and structural optimization patterns.
Designs and implements evolutionary persistent memory architectures for AI agent systems using RAG and Knowledge Graphs.
Manages professional-grade spreadsheet creation, editing, and financial modeling with rigorous formula verification and industry-standard formatting.
Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and advanced semantic search architectures.
Scales Python, pandas, and NumPy workflows across multiple cores or clusters for larger-than-memory datasets.
Manages annotated data matrices for single-cell genomics and large-scale biological datasets using the AnnData framework.
Provides a comprehensive suite of 100+ molecular featurizers for converting chemical structures into machine learning-ready numerical representations.
Build and optimize Retrieval-Augmented Generation (RAG) systems using vector databases, embeddings, and sophisticated semantic search patterns.
Generates interactive, publication-quality scientific and statistical charts using Plotly Express and Graph Objects.
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