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。
Recommends the most efficient Anthropic architecture for AI projects by analyzing requirements and selecting the optimal mix of skills, agents, and SDK primitives.
Automates the creation, editing, and analysis of Excel spreadsheets with a focus on dynamic formulas and financial modeling standards.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to automated production deployment and monitoring.
Implements advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.
Automates comprehensive CSV data analysis and visualization by instantly generating statistical reports and charts without requiring user prompts.
Standardizes the auditing of planning documents for the Mycelia multiomics platform by cross-referencing source code, tests, and infrastructure.
Implements systematic evaluation frameworks for LLM applications using automated metrics, human-in-the-loop feedback, and A/B testing.
Standardizes the integration, citation, and testing of external bioinformatics tools within the Mycelia multiomic framework.
Architect sophisticated LLM applications using LangChain's agents, memory systems, and complex chain patterns.
Builds sophisticated Retrieval-Augmented Generation systems to ground LLM responses with external knowledge and semantic search.
Manages fast, reproducible scientific Python environments by unifying conda and PyPI ecosystems with multi-platform lockfile support.
Automates linting, formatting, and static type checking for scientific Python projects using Ruff, MyPy, and pre-commit hooks.
Standardizes the creation of distributable Python packages using modern Scientific Python community best practices and Hatchling build backends.
Searches and downloads arXiv paper source code and LaTeX files for scientific research and analysis.
Accesses the NASA Astrophysics Data System (ADS) to search for literature, retrieve BibTeX citations, and track paper metadata.
Automates the construction of complex OrcaFlex offshore engineering models using a modular component assembly approach and pre-validated templates.
Simplifies scientific data analysis by managing labeled multidimensional arrays with Xarray's powerful indexing and metadata features.
Provides structured patterns and best practices for crafting reliable system prompts for AI agents.
Routes AI requests to various LLM providers including OpenAI, Grok, Groq, and DeepSeek using the SwiftOpenAI-CLI agent mode.
Develops and manages sophisticated LLM agents within the Treasure Data ecosystem using a YAML-based configuration workflow.
Evaluates AI vendor proposals and solutions through a structured framework to mitigate risks, analyze pricing models, and guide strategic build-versus-buy decisions.
Implements high-performance semantic vector search for intelligent document retrieval and RAG systems using AgentDB.
Executes Python scripts and manages local Anaconda environments with integrated support for organized file structures and Chinese language visualization.
Streamlines data manipulation and analysis workflows using industry-standard Python libraries like Pandas.
Conducts systematic landscape research, competitive analysis, and evidence-based strategy evaluations to inform technical and business decisions.
Optimizes Mycelia multiomic analysis workflows for High Performance Computing (HPC) environments and SLURM workload managers.
Decodes intermediate transformer layer activations into human-readable vocabulary predictions to visualize model processing.
Streamlines the analysis, transformation, and visualization of Excel spreadsheets using advanced Python libraries within Claude Code.
Automates the creation of scientifically accurate disease mechanism entries in the Dismech knowledge base using a research-first approach.
Manages GPU VRAM allocation through OOM retry logic, idle auto-unloading, and cross-service signaling protocols.
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