Data Science & ML Claude 技能

LangChain Architecture & Agent Design

Architects sophisticated LLM applications using LangChain with advanced agent patterns, persistent memory, and modular tool integrations.

RAG Implementation Guide

Implements robust Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases and semantic search.

Prompt Engineering Patterns

Master advanced techniques to maximize LLM performance, reliability, and controllability in production environments.

ML Pipeline Workflow

Orchestrates end-to-end MLOps pipelines from data preparation and training to validation and production deployment.

LLM Application Evaluation

Implement comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking.

MLOps Pipeline Workflow

Orchestrates end-to-end machine learning lifecycles from data preparation and training to production deployment and monitoring.

LangChain Architecture

Designs and implements sophisticated LLM applications using the LangChain framework with advanced patterns for agents, memory, and tool integration.

Prompt Engineering Patterns

Implements advanced prompt engineering techniques to optimize LLM performance, reliability, and controllability in production environments.

LLM Performance Evaluation

Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.

MLOps Pipeline Workflow

Orchestrates end-to-end machine learning pipelines from automated data preparation through model training, validation, and production deployment.

Spark Data Processing

Streamlines the development of PySpark ETL pipelines and distributed data processing workflows.

Senior Computer Vision

Implements production-grade computer vision systems including object detection, segmentation, and real-time video processing using industry-standard frameworks.

Prompt Engineering Patterns

Implement advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.

LangChain Architecture

Builds sophisticated LLM-powered applications using autonomous agents, complex chains, and context-aware memory systems.

Templar Miner Management

Facilitates the configuration, performance optimization, and operational management of Templar AI miners within the Bittensor decentralized training network.

CBDB API

Queries the China Biographical Database to retrieve detailed biographical information, social relationships, and official appointments of historical Chinese figures from the 7th century BCE through the 19th century CE.

ML Pipeline Workflow

Builds and orchestrates end-to-end MLOps pipelines from data preparation through model training to production deployment.

Procedure Refiner

Iteratively improves LA-Bench experimental procedures through automated validation, regeneration, and data persistence cycles.

LA-Bench Parser

Extracts structured experimental protocol data and instructions from LA-Bench format JSONL files.

D3.js Visualization

Generates sophisticated, interactive data visualizations and custom SVG graphics with precise control over visual elements and transitions.

GraphPad Prism Automation

Automates scientific data analysis and graphing workflows using GraphPad Prism scripting and XML manipulation.

Airflow Workflow Architect

Designs, optimizes, and implements robust Apache Airflow DAGs using industry-standard operators and scheduling best practices.

ML Pipeline Workflow

Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.

RAG Implementation Expert

Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge and proprietary data.

LLM Evaluation Framework

Implements comprehensive evaluation strategies for Large Language Model applications using automated metrics, human feedback, and comparative benchmarking.

LangChain Architecture

Builds sophisticated LLM applications and autonomous agents using the LangChain framework's core patterns and integrations.

Prompt Engineering Patterns

Implements advanced prompt engineering techniques to optimize LLM performance and output reliability for production applications.

LangChain Architecture & Agent Design

Architects sophisticated LLM applications using LangChain patterns for agents, memory management, and complex workflow orchestration.

LLM Evaluation & Metrics

Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and LLM-as-judge patterns.

ML Pipeline Workflow

Orchestrates end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.