Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Implements production-grade LLM-as-a-judge patterns to evaluate model outputs with high reliability and bias mitigation.
Creates, edits, and analyzes Excel spreadsheets with professional formatting, automated formula recalculation, and integrated data visualization.
Implements sophisticated LLM-as-judge methodologies to evaluate and compare AI model outputs with high reliability and bias mitigation.
Builds type-safe, composable LLM applications in Ruby using the DSPy framework to program AI behavior instead of manual prompting.
Builds production-ready RAG systems and semantic search using optimized Gemini embedding-001 models and vector storage patterns.
Accelerates data manipulation and ETL pipelines with the high-performance Polars DataFrame library.
Explains machine learning model predictions and feature importance using SHAP values and comprehensive visualizations.
Analyzes global investments through the lens of power structures, ethical constraints, and geopolitical alignments.
Manages and routes requests across multiple AI providers including Anthropic, Ollama, and HuggingFace.
Implements Retrieval-Augmented Generation (RAG) systems with vector databases and semantic search to build grounded, knowledge-aware AI applications.
Generates high-quality images from text prompts using Google Gemini 3 Pro via the fal.ai API.
Automates IGV snapshot generation for visualizing genomic alignments and variant calls in BAM files.
Trains and deploys complex neural network architectures within distributed E2B sandbox environments for scalable machine learning workflows.
Queries and annotates genomic data using the COSMIC Cancer Gene Census to identify known cancer genes and their clinical properties.
Analyzes, filters, and exports genomic variant data from VCF and BCF files for bioinformatics and sequencing workflows.
Builds, evaluates, and deploys production-ready machine learning models using the industry-standard scikit-learn library.
Analyzes protein and molecular structures through AlphaFold interpretation, quality validation metrics, and comparative structural techniques.
Analyzes genomic alignment files to extract reads, identify insertions and deletions, and calculate coverage statistics for WGS and WES data.
Performs high-speed local DNA sequence alignment against hg38 and CHM13 genomic references without external API dependencies.
Performs NCBI BLAST sequence similarity searches using BioPython to identify homologous DNA or protein sequences.
Reads, writes, and manipulates biological sequence data formats like FASTA, FASTQ, and GenBank.
Implements and trains advanced reinforcement learning algorithms to create autonomous agents that evolve through experience.
Streamlines scientific development on HPC environments using multi-root workspaces and automated test data extraction.
Creates, optimizes, and debugs high-performing, production-ready prompts for Claude 4, GLM 4.7, and Gemini 3 using evidence-based techniques.
Develops and trains Graph Neural Networks (GNNs) for node classification, link prediction, and geometric deep learning tasks.
Combines vector similarity and keyword-based search to optimize retrieval accuracy in RAG systems and search engines.
Implements high-performance similarity search and vector database patterns for semantic retrieval and RAG systems.
Generates interactive, publication-quality Python charts and dashboards for data exploration and presentation.
Implements queue-based GPU allocation and memory cleanup patterns to prevent OOM crashes and ensure reliable progress tracking in parallel workflows.
Optimizes Large Language Model performance through advanced reasoning patterns, few-shot learning, and structured prompt templates.
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