Anthropic Skills

Quick data queries and previews. Use when user wants to see contents of a data file, check schema, or do simple filtering on CSV, JSON, or other data files.

Python 생태계(Jupyter, Pandas, Scikit-learn)를 활용하여 데이터에서 심층적인 인사이트를 도출하는 전문 분석 워크플로우입니다.

Statistical analysis and data exploration workflows for effective data-driven insights. Use when analyzing datasets, performing exploratory data analysis (EDA), statistical hypothesis testing, data visualization planning, finding patterns and insights, or preparing analysis reports. Triggers include "analyze data", "data analysis", "statistics", "EDA", "exploratory analysis", "data patterns", or when working with datasets requiring statistical insights.

Use when implementing analytics, event tracking, or setting up dashboards. Covers privacy-first tracking, event patterns, and common analytics tools.

Provides expert UX analysis, usability assessment, and accessibility audit. Use this skill when the user needs user experience evaluation, accessibility review, or user flow analysis. Triggers include requests for UX review, accessibility audit, or when asked to evaluate usability and user journey patterns. Produces detailed consultant-style reports with findings and prioritized recommendations — does NOT write implementation code.

Creates single-file interactive HTML visualizations from documents or conversations. Triggers on: webify this, create infographic, visualize as webpage, make it a website.

Create and edit Excel spreadsheets for budgets, expense tracking, event planning, project management, and data analysis. Use for financial and organizational tasks.

Design specifications for effective dashboards. Use when planning new dashboards, improving existing ones, or documenting dashboard requirements before development.

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Expert marketing analytics covering campaign analysis, attribution modeling, marketing mix modeling, ROI measurement, and performance reporting.

Analyze web measurement data with Python/pandas/SQL. Use when user mentions 'analyze data', 'traffic analysis', 'statistics', 'pandas', 'SQL query', or 'plot results'.

Information about Probitas framework. Use when asked "what is Probitas", explaining its purpose, features, or comparing with other test frameworks.

Fix for Plotly FigureWidget KeyError: 'uid' when updating shapes with sliders. Trigger: interactive Plotly dashboard errors, FigureWidget batch_update issues

Knowledge base for measuring, analyzing, and optimizing content performance. Use when tracking metrics, analyzing patterns, or making data-driven content decisions.

Teach Bayesian approaches to meta-analysis including prior specification, MCMC methods, and interpretation of posterior distributions. Use when users want to incorporate prior knowledge, need probabilistic interpretations, or are working with sparse data.

Apply the GRADE framework to assess certainty of evidence in systematic reviews. Use when users need to rate evidence quality, create Summary of Findings tables, or understand the factors that affect confidence in effect estimates.

Work with Jupyter notebooks in the wc_simd project. Use this skill to run, convert, or explore notebooks. Invoke with /notebook.

Compare local codebase capabilities against competitor products by researching competitor features via web search and documentation, analyzing local code patterns, and generating an interactive HTML comparison report.

Expert in statistical analysis for blind A/B and ABX audio testing. Validates randomization, calculates statistical significance, and ensures proper experimental design. Use when implementing A/B test features or analyzing test results.

Expert assistant for monitoring and optimizing performance in the KR92 Bible Voice project. Use when analyzing query performance, optimizing database indexes, reviewing React Query caching, monitoring AI call costs, or identifying N+1 queries.

データ分析・可視化・レポート作成。pandas、SQL、BigQuery、スプレッドシート操作、統計分析、グラフ作成。「データ分析」「SQL」「BigQuery」「pandas」「集計」「可視化」「レポート」に関する質問で使用。

Build data visualizations with visx (React + D3). Use for charts, graphs, and interactive data exploration.

Analyze Excel spreadsheet formulas to build dependency DAGs (Directed Acyclic Graphs) and understand calculation chains. This skill should be used when the user wants to reverse-engineer Excel formula dependencies, trace how values are calculated from inputs to outputs, validate formula logic, or create reusable calculators from spreadsheet logic.

Use when working with the scikit-hep hist library in Python to create, fill, slice, and plot histograms (1D/2D/multi-axis), including UHI indexing, categorical axes, and mplhep plotting conventions.

Standard and NaN-robust statistical functions for data analysis, histograms, and correlation matrices. Triggers: statistics, mean, nanmean, histogram, corrcoef, percentile, std.

This skill should be used when the user asks "how to install Chart.js", "Chart.js setup", "getting started with Chart.js", "Chart.js CDN", "Chart.js npm install", "tree-shaking Chart.js", "Chart.js bundle optimization", "import Chart.js", "Chart.js module loaders", "Chart.js CommonJS", "Chart.js RequireJS", "chart.js/auto vs manual registration", "Chart.js defaults", "update chart data", "chart instance methods", "destroy chart", "Chart.js helpers", "resize chart", "responsive chart configuratio

This skill should be used when the user asks "Chart.js cheat sheet", "Chart.js quick reference", "Chart.js snippets", "common Chart.js patterns", "Chart.js copy paste", "Chart.js quick tips", "Chart.js one-liners", "quick Chart.js examples", "Chart.js recipes", or needs copy-paste ready code snippets for common Chart.js v4.5.1 patterns without deep documentation.

Performance monitoring and optimization. Use when user needs N+1 detection, slow query analysis, memory profiling, or says "performance issue", "slow queries", "N+1 problem", "optimize performance", "memory leak".

Le arquivos Excel (.xlsx, .xls) e CSV enviados pelo usuario. Use quando o usuario anexar um arquivo e pedir para analisar, importar ou processar os dados. Retorna o conteudo como JSON para analise.

Generate a markdown summary report from candidate_profile.csv with statistics and insights

Developing Heart Atlas notebooks converted to HTML (local)

Comprehensive skill for scvi-tools - Deep probabilistic models for single-cell omics analysis. Use for scVI, scANVI, totalVI, MultiVI models, single-cell RNA-seq integration, batch correction, differential expression, and multimodal data analysis.

MuData 多模态数据分析工具包 - 100%覆盖文档（API+教程+IO指南+核心功能）

Forces documentation of the reasoning behind every significant design decision. Creates a decision log that explains WHY choices were made, alternatives considered, and trade-offs accepted. Prevents unjustified "default" choices.

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When MiniMax-M2 needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

Automate statistical validation, hypothesis testing, and confidence interval calculations required by TAR UMT thesis standards and top ML research conferences. Use when you need to (1) calculate 95% confidence intervals for model performance metrics, (2) perform hypothesis testing to compare models (McNemar's test, paired t-test, Bonferroni correction), (3) generate APA-formatted results tables for thesis chapters, (4) create reproducibility statements for experimental setup, (5) validate statis

UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.

Create Jupyter notebooks for FF Analytics following project conventions. Use this skill when the user requests analysis notebooks for player evaluation, roster health, trade scenarios, market trends, or projection quality analysis. Guides through notebook structure, DuckDB connections, mart queries, visualization standards, and freshness banner patterns.

Validate data quality in CSV/Excel files for vehicle insurance platform. Use when checking required fields, validating data formats, detecting quality issues, or generating quality reports. Mentions "validate", "check fields", "data quality", "missing values", or "quality score".

Main content/findings