Data Science & ML Claude 技能

Research Synthesis

Synthesizes complex findings from multiple sources into coherent, actionable conclusions with uncertainty quantification.

Intelligent Research Orchestrator

Orchestrates specialized AI agents to conduct systematic, multi-disciplinary research and synthesis on complex topics.

Critical Analysis & Research

Conducts rigorous evaluations of claims, evidence, and logical arguments to detect bias and validate research methodologies.

GitHub Interactome Mapper

Maps contributor interaction networks across GitHub to discover shared boundaries between research and developer communities.

Sensitivity Analysis

Evaluates the robustness of research findings by testing how results change under different analytical assumptions and data conditions.

Risk of Bias Assessment

Evaluates methodological quality and potential bias in research studies using standardized frameworks like RoB 2 and ROBINS-I.

Research Randomization Logic

Implements rigorous randomization procedures for experimental research and unbiased participant allocation.

Experiment Design & Research Rigor

Facilitates the creation of methodologically sound research studies following NIH rigor standards and experimental best practices.

Publication Prep Research Assistant

Prepares submission-ready research manuscripts by automating formatting, reporting guideline compliance, and journal selection workflows.

Meta-Analysis Research Assistant

Conducts quantitative synthesis of research data by pooling effect sizes across multiple studies to derive summary conclusions.

Hypothesis Testing Guide

Guides the selection, assumption checking, and interpretation of statistical hypothesis tests for rigorous research data analysis.

Inclusion Criteria for Research

Applies systematic inclusion and exclusion criteria to automate literature screening and ensure PRISMA compliance.

Research Question Optimizer

Formulates and refines high-quality research questions using the scientifically recognized FINER criteria.

Statistical Power Analysis

Calculates statistical power and determines required sample sizes for research studies to ensure experimental rigor and reproducibility.

Statistical Results Interpretation

Interprets and reports complex statistical findings with high precision, focusing on effect sizes, confidence intervals, and p-value accuracy.

PolicyEngine Core Microsimulation

Powers tax and benefit microsimulations with a vectorized engine for calculating complex economic policy impacts.

Data Cleaning & Quality Remediation

Performs systematic data quality remediation by detecting duplicates, handling outliers, and standardizing datasets for reliable analysis.

PolicyEngine Data Science

Analyzes survey microdata using weighted pandas DataFrames to calculate inequality, poverty, and distributional metrics.

Nushell Data Processing

Enables high-performance data manipulation and analysis in Nushell using Polars DataFrames and LazyFrames.

Guided Investigation Framework

Conducts systematic, multi-phase investigations into complex, open-ended data questions using structured decomposition and incremental synthesis.

Comparative Data Analysis

Performs rigorous, systematic comparisons of data segments, cohorts, and time periods to uncover actionable drivers of difference.

Exploratory Data Analysis (EDA)

Conducts systematic exploratory data analysis to uncover hidden patterns, anomalies, and actionable insights in unfamiliar datasets.

Academic Peer Review

Provides rigorous, PhD-level evaluations of research manuscripts and proposals to enhance academic quality and impact.

AgentDB Memory Patterns

Implements high-performance persistent memory and reinforcement learning patterns for AI agents using AgentDB and ReasoningBank.

ReasoningBank Intelligence

Implements adaptive learning systems for AI agents to recognize patterns, optimize strategies, and improve autonomously over time.

Reversible Computing Logic

Implements time-symmetric, information-preserving computation patterns for Janus-style reversible logic and quantum-ready algorithms.

Borges SDR Reafference Engine

Orchestrates self-learning signal processing and spectral exploration using software-defined radio (SDR) and categorical database integration.

Soliton Detection & Agency Bridge

Unifies mathematical topology with computational agency to detect solitons and bootstrap self-aware agentic skills.

AnnData Scientific Data Management

Manages annotated data matrices for single-cell genomics and large-scale biological datasets using the Python AnnData framework.

Ordered Locale Point-Free Topology

Implements directed point-free topology using frames and preorders satisfying the open cone condition.