Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Manages complex spreadsheet creation, data analysis, and formula-driven financial modeling with high precision.
Automates laboratory data management by integrating Claude with the Benchling R&D platform for registry, inventory, and notebook operations.
Maintains and updates model registries, pricing data, and capability maps for LLM backends and providers.
Maintains and updates AI model registries, pricing databases, and backend capabilities for LLM-powered applications.
Generates comprehensive financial models, including DCF analysis, Monte Carlo simulations, and sensitivity testing for investment decisions.
Processes and visualizes high-throughput sequencing data like ChIP-seq, RNA-seq, and ATAC-seq with professional-grade command-line tools.
Processes, analyzes, and visualizes high-throughput sequencing data including ChIP-seq, RNA-seq, and ATAC-seq workflows.
Analyzes financial statements to calculate and interpret key ratios for investment and corporate performance evaluation.
Processes and visualizes high-throughput sequencing data through specialized workflows for ChIP-seq, RNA-seq, and ATAC-seq.
Analyzes and visualizes complex networks and graphs using the comprehensive NetworkX Python toolkit.
Automates the creation, editing, and analysis of professional Excel workbooks with dynamic formulas and industry-standard financial modeling.
Manages and updates AI model registries, pricing structures, and context window limits for the MassGen backend.
Converts diverse file formats like PDFs, Office docs, images, and audio into LLM-optimized Markdown.
Deploys and trains sophisticated reinforcement learning algorithms to create autonomous agents that improve through experience and reasoning.
Builds, analyzes, and visualizes complex network structures and graph algorithms within Python environments.
Develops and optimizes quantum circuits, hybrid quantum-classical models, and quantum machine learning workflows using PennyLane.
Access and retrieve DNA/RNA sequences, raw reads, and genome assemblies from the European Nucleotide Archive via API and FTP.
Facilitates creative research ideation by generating hypotheses, exploring interdisciplinary connections, and identifying research gaps.
Connects Claude to the KEGG REST API for advanced biological pathway analysis, gene mapping, and molecular network discovery.
Converts over 20 file formats including PDFs, Office documents, and media into clean, LLM-optimized Markdown.
Read, write, and process medical imaging data in the DICOM standard format using Python.
Generates publication-quality statistical graphics and complex data visualizations using the Seaborn Python library.
Provides ultra-fast semantic vector search and intelligent document retrieval using AgentDB's high-performance HNSW indexing.
Accesses the NIH Metabolomics Workbench database to query metabolite structures, experimental study data, and standardized nomenclature.
Generates interactive statistical and scientific visualizations using Plotly Express and Graph Objects APIs.
Streamlines single-cell transcriptomics workflows using standardized scverse, AnnData, and Scanpy implementation patterns.
Analyzes system hardware to provide strategic recommendations for high-performance computing and scientific tasks.
Converts existing Snakemake analysis projects into pip-installable CLI tools for automated workflow deployment.
Streamlines single-cell RNA-seq analysis using standardized AnnData and Scanpy workflows.
Implements ultra-fast semantic vector search and RAG capabilities using AgentDB's high-performance indexing and quantization.
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