Data Science & ML Claude 技能

Agent Orchestration Patterns

Architects sophisticated multi-agent systems and autonomous workflows using specialized orchestration patterns.

Bioinformatics & Genomic Analysis (pysam)

Processes genomic data files including SAM, BAM, VCF, and FASTA using a high-performance Python interface to htslib.

Bedrock Model Customization

Adapts Amazon Bedrock foundation models through fine-tuning, continued pre-training, reinforcement learning, and model distillation.

HS Risk Scoring & Reporting

Performs automated risk assessment on logistics data by identifying formatting errors, hazardous materials, and dimensional flags.

COBRApy Metabolic Modeling

Performs constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.

Gemini CLI for Claude Code

Integrates Google Gemini's multimodal reasoning and automated CLI tools into Claude Code for advanced AI collaboration and research.

Excel & Spreadsheet Automation

Automates the creation, editing, and analysis of professional-grade Excel spreadsheets and tabular data files directly from your terminal.

MATLAB & Octave Scientific Computing

Provides specialized support for MATLAB and GNU Octave numerical computing, matrix operations, and scientific visualization.

HMDB Metabolome Database

Accesses and queries the Human Metabolome Database for detailed metabolite information, clinical biomarkers, and biochemical pathways.

Scientific Critical Thinking

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

Gemini 3 Advanced Features

Implements advanced Gemini 3 Pro capabilities including function calling, structured JSON outputs, and cost-efficient context caching for production AI applications.

Agent Memory System

Implement a multi-layered persistent memory architecture for AI agents to enable cross-session learning and long-term context retention.

Python Experiment Reproducibility

Ensures deterministic results in Python research code by centralizing configurations, controlling randomness, and recording run metadata.

FinnHub Financial Data

Integrates real-time financial market data including stock quotes, forex rates, crypto prices, and company fundamentals via the FinnHub API.

Scholar Evaluation

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

LabArchives ELN Integration

Automates electronic lab notebook workflows including data uploads, notebook backups, and programmatic entry management via the LabArchives REST API.

scvi-tools: Probabilistic Single-Cell Analysis

Implement deep generative models for single-cell omics analysis, enabling batch correction, multimodal integration, and probabilistic differential expression.

Scanpy Single-Cell Analysis

Performs comprehensive single-cell RNA-seq analysis workflows including quality control, clustering, and visualization.

NCBI Gene Database Integration

Simplifies gene data retrieval and annotation by querying the NCBI Gene database via E-utilities and Datasets APIs.

Real-World Evidence Analysis in R

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

PufferLib Reinforcement Learning

Accelerates reinforcement learning workflows with high-performance environment vectorization and optimized PPO training.

Bedrock AgentCore Memory

Integrates persistent episodic and short-term memory into Amazon Bedrock agents to maintain user context and learn from interactions across sessions.

AC Memory Manager

Manages persistent cross-session memory for autonomous coding tasks using Graphiti integration.

Pymoo Optimization Framework

Optimizes complex multi-objective and constrained problems using state-of-the-art evolutionary algorithms and decision-making tools.

LlamaFarm Config Generator

Generates and modifies LlamaFarm RAG configurations using natural language descriptions to streamline document processing setups.

Advanced Adaptive Trial Design in R

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

R Network Meta-Analysis Toolkit

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

Galaxy Benchmark Ground-Truth Expander

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

Macro Fiscal & Labor Scenario Analyzer

Analyzes US fiscal deficit expansion and Treasury risk scenarios during periods of rising unemployment and high GDP growth.

LLM Tuning Patterns

Configures optimal LLM parameters and reasoning strategies based on evidence-backed research for specialized technical tasks.