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。
Evaluates research papers, proposals, and literature reviews using the ScholarEval framework for rigorous academic assessment.
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.
Generates testable scientific hypotheses, experimental designs, and professional reports from observations and literature synthesis.
Generates visually engaging, research-backed slide decks for scientific presentations and academic talks using AI-driven design.
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.
Streamlines the configuration and execution of large-scale AI model evaluations using the NVIDIA NeMo Evaluator Launcher.
Integrates external LLMs like Grok, Gemini, and GPT into Claude Code workflows using reliable Bash-based orchestration.
Integrates Google Gemini's advanced image generation and editing capabilities directly into your Claude Code workflow.
Transcribes audio and video files using OpenAI Whisper models for production-grade subtitles and timing data.
Generates high-quality images and illustrations using the ModelScope Z-Image-Turbo API directly within your workflow.
Generates professional-grade, 50+ page market research reports featuring strategic frameworks and custom data visualizations.
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.
Develops testable scientific hypotheses and experimental designs supported by structured literature reviews and automated visual schematics.
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.
Transforms casual user requests into precise, high-performance prompts structured for optimal AI model execution.
Transforms casual user requests into precise, specification-grade AI prompts for improved model performance.
Streamlines the creation of AI agents and applications using the multi-platform GitHub Copilot SDK across major programming languages.
Implements advanced reasoning frameworks like Chain-of-Thought and Tree of Thoughts to solve complex logical, mathematical, and symbolic problems.
Automates the migration of legacy PyTorch AT_DISPATCH macros to the modernized AT_DISPATCH_V2 API in C++ kernel implementations.
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.
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