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。
Develops high-performance, idiomatic machine learning code for Apple Silicon using the MLX framework.
Initializes tracking sessions for AI execution patterns to enable continuous self-learning and behavioral evolution within agentic workflows.
Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
Optimizes and designs high-performance LLM prompts using advanced techniques like chain-of-thought and few-shot learning.
Implements systematic evaluation strategies for Large Language Model applications using automated metrics, LLM-as-judge patterns, and statistical testing.
Simplifies the creation of complex, interactive, and multi-dimensional data visualizations using the HoloViz ecosystem.
Masters perceptual color management and accessible visual styling for scientific visualizations using Colorcet and the HoloViz ecosystem.
Manages scientific Python dependencies and reproducible environments using the pixi package manager with unified conda and PyPI support.
Processes astronomical data using Astropy for coordinate transformations, FITS file I/O, physical units, and precise time handling.
Analyzes and manipulates labeled multidimensional scientific datasets using the Xarray library and its ecosystem.
Enables natural language data exploration, automated SQL generation, and interactive visualization using agent-based AI frameworks.
Optimizes high-performance rendering for datasets exceeding 100M points using Datashader and HoloViews.
Generates interactive, publication-quality data visualizations using the HoloViz ecosystem and hvPlot for rapid data analysis.
Builds type-safe, declarative configuration systems and reactive Python applications using the HoloViz Param library.
Builds and publishes standards-compliant scientific Python packages using pyproject.toml and Hatchling.
Automates the end-to-end machine learning lifecycle from data analysis and model selection to training and performance evaluation.
Performs rigorous audits of LLM-powered features to ensure model currency, prompt quality, eval coverage, and observability.
Automates the creation of institutional-grade financial models and reports in Excel using live S&P Capital IQ data feeds.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale search infrastructure.
Builds interactive geographic maps and performs spatial data analysis using GeoViews and GeoPandas.
Integrates type-safe AI and LLM services into Effect-TS applications using provider abstractions and schema-validated tool calling.
Manages, tests, and deploys Braintrust prompts directly from the Claude Code interface.
Facilitates seamless interaction with the Gemini CLI to leverage Google Gemini models directly within the Claude Code environment.
Generates professional, data-dense equity research earnings previews for single companies using S&P Global and Kensho financial data.
Generates professional company tear sheets and one-pagers using live S&P Capital IQ financial data.
Powers semantic search and contextual retrieval across local libraries of academic papers and markdown documents.
Drafts publication-ready Results sections for quantitative sociology research based on established academic patterns.
Conducts publication-ready quantitative sociological research using phased R workflows and rigorous econometric methods.
Optimizes LLM prompts for high-accuracy text classification through a systematic, evaluation-driven workflow.
Conducts comprehensive market sizing using TAM, SAM, and SOM frameworks to evaluate startup opportunities and business potential.
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