Data Science & ML Claude 技能

Contextual Retrieval RAG

Enhances RAG pipelines by prepending situational context to document chunks to preserve semantic meaning and significantly improve retrieval accuracy.

Fine-Tuning & Customization

Simplifies Large Language Model fine-tuning and alignment using parameter-efficient techniques like LoRA, QLoRA, and DPO.

Semantic Caching

Optimizes LLM performance and reduces API costs by implementing Redis-powered vector similarity caching.

RAG Reranking Patterns

Enhances search precision in RAG pipelines by re-scoring retrieved documents using high-accuracy Cross-Encoders and LLM relevance patterns.

Semantic Embeddings & Vector Search

Converts text into high-dimensional vector representations for semantic search, document similarity, and RAG pipelines.

LangGraph Conditional Routing

Implements dynamic workflow routing, retry loops, and semantic branching for LangGraph-based AI agents.

LangGraph Parallel Execution

Implements high-performance parallel execution patterns for LangGraph workflows using fan-out/fan-in and map-reduce strategies.

Golden Dataset Curation

Curates high-quality evaluation datasets for AI models using multi-agent validation and automated quality scoring.

Contextual Retrieval for RAG

Implements Anthropic's contextual retrieval technique to improve RAG performance by prepending situational metadata to document chunks.

Multimodal RAG Patterns

Implements advanced retrieval-augmented generation systems that integrate text and image data for hybrid search and visual question answering.

HyDE Semantic Retrieval

Enhances RAG retrieval quality by generating and embedding hypothetical answer documents to bridge vocabulary gaps between queries and data.

Vision Language Model Integration

Integrates advanced vision-language models for image analysis, document understanding, and multimodal reasoning within Claude Code.

CRAN Submission Preparation

Automates mandatory checks and fixes for R packages to ensure compliance with CRAN's strict ad-hoc submission requirements.

R Package Lifecycle Management

Manage R package function and argument lifecycles using Tidyverse principles and the lifecycle package.

Data Visualization

Provides comprehensive guidance on visual encoding, chart selection, and technical implementation for building accessible, high-performance data representations.

Data Analysis

Performs comprehensive data cleaning, statistical analysis, and professional visualization using Python and pandas.

Discover Information Retrieval (IR) Skills

Automates the discovery and activation of specialized Information Retrieval and search engine optimization skills for advanced data tasks.

Machine Learning Discovery Gateway

Automatically identifies and activates specialized machine learning and AI development skills within Claude Code.

MiniMax Image Understanding for OpenClaw

Integrates MiniMax's advanced image analysis capabilities into the OpenClaw platform for detailed visual interpretation and recognition.

Claude Prompt Engineer

Optimizes AI interactions by applying Anthropic's official prompt engineering best practices to improve accuracy, consistency, and structure.

Claude Prompt Engineer

Optimizes and structures prompts for Claude using Anthropic’s official best practices and advanced design patterns.

China Stock Analysis

Analyzes China A-share stocks using value investing principles and comprehensive financial data screening.

Data Scientist

Streamlines the machine learning lifecycle by automating algorithm selection, advanced feature engineering, and rigorous statistical experimentation.

Agent Designer

Designs sophisticated multi-agent system architectures, orchestration patterns, and robust tool schemas for autonomous AI workflows.

MLOps Engineer

Automates machine learning lifecycles by implementing robust pipelines, production-grade model serving, and continuous monitoring.

Financial Analyst

Performs professional financial modeling, DCF valuation, and budget variance analysis to drive data-led strategic decision-making.

RAG Architect

Designs, implements, and optimizes production-grade Retrieval-Augmented Generation (RAG) pipelines for high-performance AI applications.

DeepEar Analysis

Performs deep research and automated financial signal tracking to identify market trends and structured insights.

arXiv Viewer for Claude

Search, download, and read academic papers from arXiv directly within Claude using a hybrid API and web scraping approach.

People Analytics & HR Insights

Optimizes workforce management through data-driven insights, predictive attrition modeling, and automated HR metric analysis.