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。
Implements production-grade computer vision systems including object detection, segmentation, and real-time video processing using industry-standard frameworks like PyTorch and OpenCV.
Analyzes the McKinsey Ark repository to help developers understand, implement, and extend provider-agnostic agentic resource patterns.
Automates the generation of standardized Agent-as-a-Tool and function-based tools for the Strands SDK agent system.
Optimizes and structures system prompts for AI agents using Anthropic's context engineering principles and mandatory Python template escaping rules.
Searches and retrieves academic literature across multiple scientific databases including arXiv, PubMed, and IEEE Xplore.
Generates testable scientific hypotheses, experimental designs, and professional reports from observations and literature synthesis.
Generates publication-quality scientific diagrams and schematics with automated quality review and iterative AI refinement.
Conducts systematic literature reviews and meta-analyses across major scientific databases with verified citations and AI-generated schematics.
Generates visually engaging, research-backed slide decks for scientific presentations and academic talks using AI-driven design.
Evaluates research rigor, statistical validity, and methodology to ensure scientific claims are robust and unbiased.
Generates publication-ready clinical decision support documents and pharmaceutical research reports with evidence-based analysis and automated data visualization.
Evaluates research papers, proposals, and literature reviews using the ScholarEval framework for rigorous academic assessment.
Transcribes audio and video files using OpenAI Whisper models for production-grade subtitles and timing data.
Integrates Google Gemini's advanced image generation and editing capabilities directly into your Claude Code workflow.
Generates professional-grade, 50+ page market research reports featuring strategic frameworks and custom data visualizations.
Generates professional-grade, 50+ page market research reports modeled after top consulting firm deliverables, featuring deep data analysis and complex strategic frameworks.
Generates professional, evidence-based clinical decision support documents and pharmaceutical research reports in publication-ready LaTeX format.
Develops testable scientific hypotheses and experimental designs supported by structured literature reviews and automated visual schematics.
Generates professional, publication-ready clinical decision support documents and pharmaceutical research reports optimized for drug development and evidence-based medicine.
Formulates testable, evidence-based scientific hypotheses and experimental designs from observations and literature data.
Evaluates research rigor by assessing methodology, statistical validity, and evidence quality using standardized frameworks like GRADE and Cochrane ROB.
Implements advanced reasoning frameworks like Chain-of-Thought and Tree of Thoughts to solve complex logical, mathematical, and symbolic problems.
Fetches and analyzes real-time rankings of the most popular programming AI models to optimize model selection and cost.
Integrates Claude Code with OpenRouter models like Grok, GPT-5, and Gemini while maintaining context efficiency through sub-agent delegation.
Integrates Claudish model recommendations into Claude Code to dynamically query OpenRouter model data and metadata.
Classifies documents and files using natural language rules and the llama_cloud_services API.
Builds and deploys native Streamlit data applications directly within the Snowflake Data Cloud.
Optimizes vector embedding pipelines for RAG systems through efficient model selection, strategic chunking, and cost-effective caching.
Implements high-performance vector databases and retrieval-augmented generation (RAG) patterns for AI-powered applications.
Provides strategic guidance and technical patterns for operationalizing machine learning models from experimentation to production deployment.
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