发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Generates professional, biomarker-stratified clinical decision support documents and treatment recommendation reports for pharmaceutical and clinical research.
Simulates and analyzes open quantum systems, master equations, and decoherence using the Quantum Toolbox in Python.
Generates interactive, publication-quality Python charts and dashboards for data exploration and presentation.
Builds visually engaging, research-backed scientific presentations and slide decks for academic and professional talks.
Builds, simulates, and executes quantum circuits on Google Quantum AI hardware and cloud providers.
Queries and downloads large-scale public cancer imaging datasets from the NCI Imaging Data Commons for AI training and medical research.
Builds, optimizes, and executes quantum circuits on IBM Quantum hardware and high-performance simulators using the world's most popular SDK.
Provides comprehensive access to the BRENDA enzyme database for retrieving kinetic parameters, reaction stoichiometry, and organism-specific biochemical data.
Performs advanced numerical computing, matrix operations, and scientific visualization using MATLAB and GNU Octave syntax.
Analyzes high-density Neuropixels recordings with automated preprocessing, spike sorting, and AI-assisted quality curation.
Provides comprehensive China A-share financial data including real-time quotes, historical K-lines, and corporate announcements via the AkShare library.
Generates comprehensive, 50+ page professional market research reports using consulting-grade strategic frameworks and LaTeX formatting.
Generates custom writing skills by performing systematic genre analysis on a corpus of academic article sections.
Guides the drafting of rigorous, argument-driven methods and findings sections for qualitative sociological research.
Drafts and optimizes case justification sections for sociology articles based on empirical analysis of top-tier journal conventions.
Drafts publication-ready sociology Methods sections for interview-based research using benchmarks from top-tier academic journals.
Conducts systematic qualitative analysis of interview data for sociological research using theory-informed or data-first methodologies.
Develops and renders publication-ready causal directed acyclic graphs (DAGs) from research questions and social science literature.
Guides social science researchers through systematic computational text analysis using R and Python workflows.
Conducts rigorous, publication-ready R statistical analysis for social science research using a systematic, phased workflow.
Drafts publication-ready Theory and Literature Review sections for sociology journal articles based on empirical field norms.
Simulates scholarly peer reviews by grounding critiques in specific theoretical and methodological perspectives retrieved from Zotero.
Synthesizes academic literature corpora into theoretical maps and debate frameworks using Zotero integration.
Guides researchers through rigorous, publication-ready quantitative social science workflows using phased Stata analysis.
Accelerates pharmaceutical research by enabling semantic natural language search across ChEMBL, DrugBank, Open Targets, and FDA drug labels.
Guides researchers through systematic, theory-driven qualitative interview analysis to identify anomalies and generate novel theoretical insights.
Searches the PubMed biomedical database using natural language queries and semantic retrieval for full-text literature access.
Enables natural language semantic search across the complete bioRxiv database of biological science preprints.
Enables natural language searching of ClinicalTrials.gov to find study outcomes, recruitment status, and medical intervention data.
Performs semantic, natural language searches across the complete arXiv preprint archive for physics, math, and computer science research.
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