Data Science & ML Claude 스킬

AI Prompt Architect

Architects high-performance AI prompts using advanced complexity-based standards, attention management, and structural optimization patterns.

Multi-Agent Orchestration

Implements advanced agentic patterns to prevent context saturation and optimize parallel execution within Claude Code environments.

Product Expert Design

Designs adaptive user-facing agent experts to create personalized product experiences and dynamic UX.

CocoIndex AI Data Framework

Builds high-performance, incremental AI data transformation pipelines for vector databases and knowledge graphs.

Edge AI Optimizer

Optimizes AI models for resource-constrained edge devices using advanced quantization, memory management, and battery-smart inference patterns.

Statistical Data Analysis

Performs rigorous statistical analysis, hypothesis testing, and APA-compliant reporting for academic and experimental research.

SHAP Model Interpretability

Explains machine learning model predictions and feature importance using mathematically grounded Shapley values and high-impact visualizations.

ESM Protein Design & Analysis

Empowers protein engineering and biological research through state-of-the-art ESM3 generative models and ESM C embeddings.

Advanced Excel & Spreadsheet Engineering

Creates, modifies, and analyzes professional Excel spreadsheets with automated formula recalculation and industry-standard financial formatting.

AI Agents Architect

Designs and implements autonomous AI agents with sophisticated tool use, memory systems, and multi-agent orchestration.

AI Agents Architect

Architects and implements robust autonomous AI agents with sophisticated tool use, memory systems, and multi-agent orchestration.

Vaex Big Data Analysis

Processes and visualizes massive tabular datasets with billions of rows using memory-efficient out-of-core DataFrames.

OpenAlex Academic Literature

Queries and analyzes the OpenAlex database to search scholarly literature, track citations, and perform bibliometric analysis.

Bioinformatics & Genomic Data (gget)

Provides a unified interface for rapid bioinformatics queries across 20+ genomic databases including Ensembl, AlphaFold, and NCBI.

Flow Nexus Neural Networks

Trains and deploys complex neural network architectures within distributed E2B sandbox environments using Flow Nexus.

Qdrant Vector Database Integration

Integrates Qdrant vector database with Java applications using Spring Boot and LangChain4j for high-performance semantic search and RAG.

Running Readiness Check

Evaluates athlete health signals and training load to provide conservative pre-run activity recommendations.

Run-Smart AI Skill Registry

Manages the discovery, safety guardrails, and shared contracts for Run-Smart AI coaching skills.

Market Researcher

Conducts comprehensive market analysis, industry trend tracking, and market sizing calculations to drive data-informed business decisions.

Biopython Molecular Biology

Facilitates computational molecular biology tasks including sequence manipulation, NCBI database access, and structural bioinformatics analysis.

Claude Prompt Engineer

Generates high-performance, structured prompts using official Anthropic conventions and 2025 best practices.

Weighted Autofluorescence Subtraction

Enhances multiplex immunofluorescence images by applying range-specific weights to remove background noise while preserving delicate biological signals.

Snakemake Per-Channel Resume Logic

Implements granular skip-existing checks in Snakemake wrapper scripts to resume interrupted HPC jobs without re-processing completed channels.

Trading Backtest & Colab Optimizer v4

Corrects multi-action trading logic bugs and optimizes backtesting notebooks for Google Colab environments.

KINTSUGI GPU-Only SLURM Scheduling

Optimizes KINTSUGI batch processing by enforcing GPU-only SLURM scheduling to achieve up to 25x speedups over CPU fallback.

Globus Dataset Staging

Manages large-scale scientific dataset transfers between remote Globus endpoints and high-performance computing clusters.

MNE Neurophysiology Analysis

Analyzes and visualizes human neurophysiological data including EEG, MEG, and intracranial recordings using Python-based best practices.

Arboreto GRN Inference

Infers gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.

Denario AI Scientific Research Assistant

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

Gemini CLI Integration

Integrates the Google Gemini CLI into Claude to provide large-context analysis, safe sandbox execution, and structured code modifications.