Data Science & ML Claude 技能

Matplotlib Visualization

Generates professional-grade scientific plots and data visualizations using Python's foundational plotting library.

RDKit Cheminformatics Toolkit

Provides comprehensive molecular analysis and manipulation capabilities for cheminformatics and drug discovery workflows.

Large Corpus Fan-Out Analyzer

Orchestrates a multi-stage subagent pipeline to analyze large datasets or codebases that exceed standard context windows.

DS Fix: Data Science Troubleshooting

Provides a structured diagnostic framework for fixing broken data science workflows, notebook errors, and incorrect analysis results.

Google Scholar Search

Search and cite academic literature directly through Google Scholar with verified metadata and PDF downloads.

Data Science Strategy & Brainstorming

Refines vague data analysis requests into clear, actionable objectives through Socratic questioning and structured specification.

Matchms Mass Spectrometry Analysis

Processes, filters, and analyzes mass spectrometry data using the matchms Python library for metabolomics and chemical discovery.

Data Context Extractor

Extracts tribal knowledge and domain expertise to generate structured, reusable data documentation for accurate AI-driven analysis.

Denario Scientific Research Assistant

Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to producing publication-ready LaTeX manuscripts.

Neural Architecture Selection Router

Guides developers in choosing the optimal neural network architecture based on data modality, problem constraints, and performance requirements.

AI Engineering & ML Strategy Router

Routes AI and machine learning tasks to specialized Yzmir engineering packs based on specific project requirements and technical domains.

ML Production Routing

Routes machine learning workflows to specialized guides for deployment, optimization, MLOps tooling, and production observability.

PyTorch Engineering Specialist

Routes PyTorch engineering challenges to specialized domain experts based on specific symptoms, performance bottlenecks, and implementation requirements.

ML Training Optimization Router

Diagnoses machine learning training issues and routes users to specific optimization strategies based on model symptoms.

Hypogenic Scientific Hypothesis Generator

Automates scientific hypothesis generation and testing by synthesizing observational data with research literature using LLMs.

AI Agent System Evaluation

Builds robust evaluation frameworks to measure, validate, and optimize AI agent performance and context engineering strategies.

Long Context Transformer Extension

Extends Transformer model context windows using RoPE, YaRN, and ALiBi techniques for processing massive documents and datasets.

Prompt Engineering Pro

Optimizes Claude's outputs and debugging capabilities using Anthropic's official prompt engineering best practices and techniques.

Financial Statement Analyzer

Calculates and interprets comprehensive financial ratios from company statements to provide actionable investment insights.

AgentDB Vector Search

Implements high-performance semantic vector search and intelligent document retrieval for RAG systems and AI agents.

AgentDB Learning RL

Empowers autonomous agents with nine reinforcement learning algorithms for self-optimization through experience.

Agentic Evaluation Patterns

Implements iterative reflection and evaluation loops to optimize AI agent outputs through self-critique and structured scoring.

System Prompt Architect

Generates production-grade, structured system prompts by analyzing complex user requirements and defining optimal AI agent architectures.

R Package Development

Provides expert guidance and automated workflows for building, testing, and documenting R packages using industry-standard tools like devtools and roxygen2.

Topic Graph Memory Explorer

Extracts and visualizes semantic topic patterns from agent conversation history using time-decayed importance scoring.

Topic Graph Explorer

Analyzes and maps semantic themes within agent memory using time-decayed importance scoring to surface relevant conversation patterns.

Intelligent Retrieval Policy

Orchestrates complex memory search operations by classifying query intent and routing requests through optimal retrieval layers.

Intelligent Memory Retrieval Policy

Optimizes AI agent memory searches by classifying query intent and routing requests through the most efficient retrieval layers.

Intelligent Memory Retrieval Policy

Optimizes agent memory searches by automatically classifying query intent and routing requests through the most efficient retrieval layers.

Topic Graph Explorer

Maps and analyzes semantic themes within agent memory using time-decayed importance scoring to discover conversational patterns.