Data Science & ML Claude 스킬

Contextual Pattern Learning

Analyzes project architecture and coding patterns to automate learning and provide context-aware development assistance.

PubMed Search

Searches the PubMed biomedical database using natural language queries and semantic retrieval for full-text literature access.

Cohere v2 Entity Extraction

Automates structured entity extraction and data validation using the Cohere v2 Python Chat API and strict JSON Schema enforcement.

Health Science & Clinical Research

Structures clinical research and evaluates health evidence using established evidence-based medicine frameworks like PICOT and GRADE.

Code Data Analysis Scaffolds

Provides structured frameworks and systematic workflows for Test-Driven Development (TDD), data exploration, and statistical modeling.

Model Equivariance Auditor

Verifies that machine learning models correctly respect intended symmetries through systematic numerical tests and debugging guidance.

Ollama Local AI Assistant

Simplifies local AI model development by providing comprehensive documentation and code patterns for Ollama APIs, configurations, and model management.

Causal Inference & Root Cause Analysis

Systematically investigates causal relationships to identify fundamental root causes and distinguish them from symptoms or correlations.

Forecast Pre-Mortem

Stress-tests predictions by assuming failure and working backward to identify hidden risks and blind spots.

Bayesian Reasoning & Calibration

Implements systematic Bayesian probability updates to improve forecasting and decision-making under uncertainty.

Scout Mindset Bias Check

Detects and mitigates cognitive biases to improve decision-making, forecasting accuracy, and intellectual honesty.

Reference Class Forecasting

Establishes objective statistical baselines for predictions and projects by anchoring them in historical reality and the 'Outside View.'

D3.js Data Visualization

Builds custom, interactive data-driven visualizations using D3.js for complex layouts, maps, and bespoke charting requirements.

Symmetry Group Identifier

Maps identified symmetries to mathematical groups to formalize requirements for equivariant and invariant neural network architectures.

Scholar Evaluation

Systematically evaluates research papers and scholarly work using the peer-reviewed ScholarEval framework for soundness and contribution.

Mojo SIMD Optimization

Optimizes Mojo tensor and array operations using SIMD vectorization to maximize computational throughput on modern hardware.

Strategic Decision & Business Case Analyst

Quantifies uncertain business choices and crafts persuasive, data-backed narratives to secure stakeholder buy-in.

Scientific Brainstorming

Facilitates collaborative research ideation through hypothesis generation, interdisciplinary exploration, and systematic challenge of scientific assumptions.

Visualization Choice & Reporting

Matches data questions to optimal chart types and generates narrated reports that turn raw metrics into actionable business insights.

Design Experiment

Guides the planning, parameter selection, and documentation of LLM fine-tuning and evaluation experiments.

OpenAlex Scholarly Database

Accesses and analyzes over 240 million scholarly works, authors, and institutions through the OpenAlex API for comprehensive academic research.

Metabolomics Workbench Database

Accesses the NIH Metabolomics Workbench to query metabolite structures, study metadata, and standardized chemical nomenclature for biomarker discovery.

Equivariant Architecture Designer

Designs neural network architectures that preserve symmetry groups to improve model efficiency and robustness.

DrugBank Database Analysis

Accesses and analyzes comprehensive pharmaceutical data from DrugBank, including drug properties, interactions, and chemical structures.

Statistical Analysis Toolkit

Conducts rigorous statistical hypothesis tests, regression models, and Bayesian analyses with APA-style reporting.

Scientific Critical Thinking

Evaluates research rigor, methodology, and statistical validity to critically analyze scientific claims and evidence quality.

Arboreto GRN Inference

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

Reactome Database

Queries the Reactome REST API for pathway analysis, gene enrichment, and molecular interaction mapping in systems biology studies.

PyHealth AI Toolkit

Develops and deploys specialized machine learning models for healthcare using clinical data and medical coding systems.

Matchms MS Analysis

Processes mass spectrometry data to calculate spectral similarities, harmonize metadata, and identify chemical compounds.