Data Science & ML Claude 技能
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。
Vercel AI SDK Integration
Streamlines the development of AI-powered chat interfaces with streaming, tool calling, and multi-step reasoning patterns.
Excel Spreadsheet Management
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.
PDF Processing Pro
Automates complex PDF workflows including form filling, table extraction, OCR, and batch operations with production-grade validation.
AI Prompt Optimizer
Refines and enhances AI prompts using advanced engineering techniques to improve performance, reduce token costs, and ensure model-specific accuracy.
NLP Pipeline Builder
Builds production-ready natural language processing pipelines using state-of-the-art transformer models and SpecWeave automation.
Model Explainer
Generates human-readable interpretability reports and explainability metrics for machine learning models using SHAP, LIME, and feature importance.
SpecWeave Data Visualizer
Automates the creation of publication-quality data visualizations and business reports for machine learning workflows.
ML Model Registry
Manages the complete machine learning model lifecycle through centralized versioning, staging pipelines, and automated metadata tracking within the SpecWeave framework.
Model Evaluator
Conducts comprehensive machine learning model evaluations with advanced metrics, statistical validation, and automated reporting.
AutoML Optimizer
Automates hyperparameter tuning and model selection using industry-standard frameworks like Optuna and Auto-sklearn.
ML Feature Engineer
Automates the end-to-end feature engineering process for machine learning pipelines, from data quality assessment to production-ready transformations.
ML Experiment Tracker
Manages machine learning experiment tracking and model comparison by automatically logging parameters, metrics, and artifacts to SpecWeave increments.
Computer Vision Pipeline Builder
Builds production-ready machine learning pipelines for image classification, object detection, and semantic segmentation using PyTorch or TensorFlow.
Time Series Forecaster
Builds sophisticated time-dependent predictive models using statistical methods, machine learning, and deep learning within the SpecWeave framework.
ML Pipeline Orchestrator
Orchestrates end-to-end machine learning workflows within a disciplined, spec-driven development framework.
Anomaly & Outlier Detector
Detects unusual patterns and outliers in data using statistical methods and machine learning algorithms integrated with the SpecWeave workflow.
MLOps DAG Builder
Designs and implements production-grade DAG-based MLOps pipeline architectures using orchestrators like Airflow, Dagster, and Kubeflow.
ML Deployment Helper
Automates the transition of machine learning models into production-ready services with APIs, containerization, and monitoring.
Excel & Spreadsheet Automation
Creates, edits, and analyzes Excel spreadsheets with production-grade formulas, formatting, and industry-standard financial modeling conventions.
Clarity Gate
Enforces epistemic quality in documentation to prevent LLM hallucinations in RAG systems.
ML Inference Optimization
Optimizes machine learning model performance by reducing latency and memory footprint through advanced compression and deployment strategies.
AI Governance & Compliance
Guides the implementation of AI governance, regulatory compliance, and responsible AI practices using frameworks like the EU AI Act and NIST AI RMF.
Ethics Review & Impact Assessment
Evaluates technology and AI systems for ethical risks using comprehensive impact assessments and responsible innovation frameworks.
LLM Serving Patterns
Optimizes LLM inference infrastructure and deployment strategies using industry-standard frameworks and architectural patterns.
Everyrow AI Data Processor
Transforms pandas dataframes using AI-powered qualitative ranking, semantic deduplication, and research-based filtering.
Clarity Gate
Verifies and enforces epistemic quality in documents to prevent LLM hallucinations within RAG systems and knowledge bases.
Clarity Gate
Enforces epistemic quality and uncertainty markers in documents to prevent hallucinations in RAG systems and LLM workflows.
Machine Learning System Design
Architects production-grade machine learning systems including end-to-end pipelines, feature stores, and scalable model serving infrastructure.
Jupyter Notebook Operations
Automates the execution, editing, and dependency management of Jupyter notebooks using jtool and uv.
Narwhals Dataframe Compatibility
Writes dataframe-agnostic Python code that runs seamlessly across pandas, Polars, PyArrow, and other major backends.
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