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。
Facilitates programmatic access to over 61 million standardized single-cell genomics data points for advanced querying and analysis.
Analyzes single-cell RNA-seq data with standardized workflows for quality control, clustering, and cell type annotation.
Accesses the BRENDA database via SOAP API to retrieve kinetic parameters, reaction equations, and organism-specific enzyme data for biochemical research.
Architects high-performance system instructions and prompt patterns to optimize Large Language Model outputs and consistency.
Implements high-performance systems and complex algorithms with absolute scientific rigor and formal correctness.
Generates publication-quality scientific diagrams and technical schematics with automated AI quality review and smart iteration.
Transforms initial software concepts into comprehensive, well-architected technical designs and implementation roadmaps.
Queries the PubChem database to retrieve chemical structures, molecular properties, and bioactivity data for cheminformatics workflows.
Builds low-latency, production-grade voice applications using real-time APIs, advanced synthesis, and streaming transcription services.
Indexes and manages external reference documents to power Retrieval-Augmented Generation (RAG) for domain-specific AI workflows.
Streamlines genomics pipeline development and data management on the DNAnexus cloud platform using the dxpy Python SDK.
Generates and updates professional PyTorch-style docstrings using Sphinx and reStructuredText conventions.
Orchestrates complex mathematical computations by deterministically routing natural language requests to specialized CLI tools for symbolic math, logic, and geometry.
Connects Claude to cloud laboratory services for automated protein testing, sequence optimization, and wet-lab validation.
Corrects multi-action trading logic bugs and optimizes backtesting notebooks for Google Colab environments.
Manages large-scale scientific dataset transfers between remote Globus endpoints and high-performance computing clusters.
Implements granular skip-existing checks in Snakemake wrapper scripts to resume interrupted HPC jobs without re-processing completed channels.
Enhances multiplex immunofluorescence images by applying range-specific weights to remove background noise while preserving delicate biological signals.
Searches and retrieves life sciences preprints from the bioRxiv database with advanced filtering and PDF download capabilities.
Facilitates drug discovery and therapeutic machine learning by providing AI-ready datasets, benchmarks, and molecular evaluation oracles.
Optimizes KINTSUGI batch processing by enforcing GPU-only SLURM scheduling to achieve up to 25x speedups over CPU fallback.
Integrates the Google Gemini CLI into Claude to provide large-context analysis, safe sandbox execution, and structured code modifications.
Enables development and training of Graph Neural Networks (GNNs) using the PyTorch Geometric library.
Enables advanced biomedical literature searches and programmatic data retrieval via the PubMed E-utilities REST API.
Transforms vague research interests into concrete, actionable, and tractable research questions with a systematic feasibility analysis.
Queries the NHGRI-EBI GWAS Catalog to retrieve SNP-trait associations, genetic variant data, and genome-wide association study summary statistics.
Accesses the Human Metabolome Database (HMDB) to retrieve metabolite data, chemical properties, and clinical biomarkers for metabolomics research.
Builds machine learning models and unsupervised embeddings for genomic interval data and BED file collections.
Simplifies querying the openFDA API to analyze regulatory data, drug safety profiles, medical device clearances, and food recalls.
Integrates Hugging Face Transformers for advanced natural language processing, computer vision, and audio tasks within development workflows.
Scroll for more results...