Data Science & ML Claude 技能

ML Pipeline Workflow

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

Advanced Excel & Spreadsheet Manager

Automates the creation, editing, and analysis of complex Excel spreadsheets with support for dynamic formulas and financial modeling standards.

XLSX Spreadsheet Expert

Automates professional spreadsheet creation, financial modeling, and data analysis with dynamic formulas and industry-standard formatting.

AgentDB Vector Search

Implements high-performance semantic vector search and intelligent document retrieval for RAG-based Claude Code workflows.

AgentDB Memory Patterns

Manages persistent AI agent memory and reasoning patterns using high-performance vector storage and learning algorithms.

Scikit-Survival Analysis

Performs advanced survival analysis and time-to-event modeling using the scikit-survival Python library.

LLM Integration & Orchestration

Integrates multiple LLM providers like Anthropic, OpenAI, and Google Gemini into applications using advanced orchestration and reasoning patterns.

Advanced Excel & Spreadsheet Engineer

Provides comprehensive spreadsheet creation, financial modeling, and data analysis with strict formula preservation and industry-standard formatting.

Horus Federated Taxonomy

Extracts and validates federated taxonomy tags from text to enable multi-hop graph traversal and structured memory storage.

Scientific Critical Thinking

Evaluates the rigor of scientific research by assessing methodology, statistical validity, and evidence quality using industry-standard frameworks.

Scholar Evaluation

Evaluates scholarly research papers and academic work using the systematic ScholarEval framework to provide structured feedback and quality scores.

Ollama Model Management & Optimization

Optimizes local LLM orchestration and GPU performance for Ollama-integrated AI environments.

Context Degradation & Engineering

Diagnose and mitigate performance loss in agentic systems caused by large, conflicting, or poisoned context windows.

Gas-Fertilizer Shock Analyst

Verifies causal narratives between natural gas price surges and fertilizer market disruptions using automated statistical analysis.

Real-World Evidence Analysis in R

Generates real-world evidence from observational data using advanced R-based causal inference and target trial emulation techniques.

Advanced Adaptive Trial Design in R

Design, simulate, and analyze complex adaptive clinical trials using industry-standard R packages and Bayesian methods.

Galaxy Benchmark Ground-Truth Expander

Refines and expands acceptable ground-truth tools for Galaxy tool recommendation benchmarks through manual validation and IO compatibility analysis.

Python Experiment Tracking

Organizes Python research code by implementing consistent logging, metadata tracking, and result comparison workflows.

R Network Meta-Analysis Toolkit

Performs comprehensive network meta-analyses in R using frequentist and Bayesian frameworks to compare multiple treatments simultaneously.

Bayesian Modeling in R

Builds and analyzes robust Bayesian statistical models using Stan-based R packages like brms and rstanarm.

Vision & Multimodal Capabilities

Powers Claude with advanced visual perception to analyze images, process PDFs, and extract structured data from visual inputs.

GrepAI Workspace Manager

Manage GrepAI semantic search workspaces including creation, project management, and indexing status monitoring.

Data Versioning Refactor

Implements lightweight dataset tracking and reproducibility patterns to ensure data changes are explicit and traceable.

Individual Participant Data (IPD) Meta-Analysis

Synthesizes patient-level data across multiple studies using advanced meta-analysis methods and R statistical frameworks.

GrepAI Embedder Config

Configures and troubleshoots embedding providers and models for the GrepAI semantic search tool.

Market Research Help

Provides comprehensive guidance and command references for the Market Research plugin to streamline competitive analysis and trend reporting.

Prompt Template Manager

Standardizes AI agent development through reusable, composable, and version-controlled prompt templates.

Tidyverse Model Tuning

Optimizes machine learning hyperparameters using the R Tidymodels ecosystem for improved model performance.

Machine Learning Pipeline Workflow

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

Data Visualization

Generates professional data visualizations and plots using industry-standard Python libraries like Matplotlib, Seaborn, and Plotly.