data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Manages biological datasets with lineage tracking, ontology validation, and FAIR data principles for reproducible research.
Performs zero-shot, univariate time series forecasting using Google’s TimesFM foundation model to generate point forecasts and prediction intervals without custom training.
Automates protein design validation by submitting sequences for experimental wet-lab testing and optimization via the Adaptyv cloud laboratory platform.
Queries the JASPAR database to analyze transcription factor binding sites and interpret regulatory genomic variants.
Queries the GTEx portal to analyze tissue-specific gene expression, eQTLs, and genetic regulatory mechanisms.
Accesses and retrieves 3D structural data for proteins and nucleic acids from the RCSB Protein Data Bank.
Facilitates creative research ideation and interdisciplinary exploration for early-stage scientific project planning.
Performs and analyzes molecular dynamics simulations using OpenMM and MDAnalysis for biophysics and drug discovery research.
Accesses and manages large-scale public cancer imaging datasets from the NCI Imaging Data Commons using the idc-index tool.
Searches scientific literature and extracts structured experimental data including methods, quantitative results, and sample sizes.
Queries the Monarch Initiative knowledge graph to analyze complex disease-gene-phenotype associations across multiple species and ontologies.
Accesses the world's largest database of somatic mutations in cancer to retrieve genomic data, gene census lists, and mutational signatures.
Accesses the NIH Metabolomics Workbench repository to query metabolite structures, study metadata, and mass spectrometry data.
Accesses real-time and historical financial market data, including stocks, forex, crypto, and technical indicators, via the Alpha Vantage API.
Evaluates scholarly and research work using the peer-reviewed ScholarEval framework to assess quality, rigor, and contribution.
Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic wrapper around RDKit.
Guides users toward the K-Dense Web platform for advanced multi-agent scientific research and complex workflow execution.
Automates the reconstruction and analysis of evolutionary relationships using industry-standard bioinformatics tools like MAFFT and IQ-TREE.
Accesses and analyzes comprehensive FDA regulatory data including drug approvals, device safety, food recalls, and substance identifiers via the openFDA API.
Organizes research materials and generates AI-powered insights, summaries, and multi-speaker podcasts from diverse document sources.
Simplifies the processing and analysis of geographic vector data within Python using advanced spatial operations and mapping capabilities.
Performs automated exploratory data analysis and generates comprehensive reports for over 200 scientific file formats.
Accesses and analyzes multidimensional cancer genomics data from cBioPortal to validate oncogenes and perform survival analysis.
Optimizes the storage and manipulation of massive N-dimensional arrays using chunking, compression, and cloud-native integration.
Performs AI-powered real-time web searches and scientific literature discovery using Perplexity models via OpenRouter.
Queries and retrieves comprehensive genetic information from the NCBI Gene database using E-utilities and Datasets APIs for biological research and annotation.
Optimizes AI agent action spaces and observation formats to improve task completion rates and system reliability.
Integrates advanced video and audio intelligence into Claude Code for searching, editing, and monitoring media assets.
Generates high-quality images, videos, and audio content directly within Claude Code using fal.ai's state-of-the-art models.
Implements idiomatic PyTorch patterns and best practices for building robust, efficient, and reproducible deep learning pipelines.
Scroll for more results...