发现 tools data analysis 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Analyze policy impacts for congressional districts and representatives' constituents. Use when the user mentions a specific district (NY-17, CA-52), a representative's name, or asks about geographic policy impa...
PolicyEngine aggregation patterns - using adds attribute and add() function for summing variables across entities
Weighted pandas DataFrames for survey microdata analysis - inequality, poverty, and distributional calculations
Analyzes UXR report PDFs and generates structured analysis documents with key findings, recommendations, and strategic connections. Use when given a UXR report to analyze.
Analyze customer support data (Excel/CSV with PIT, Support Tickets, CSAT) to categorize issues, prioritize by impact (P0-P3), and generate strategic markdown reports with examples and trends.
Complete guide to ActiveRecord query optimization, associations, scopes, and PostgreSQL-specific patterns. Use this skill when writing database queries, designing model associations, creating migrations, optimi...
Structured reasoning tools for complex problem analysis with observation, hypothesis, analysis, and conclusion steps. Use when analyzing complex problems, debugging difficult issues, or making important decisio...
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for...
Comprehensive UX evaluation meta-skill. Use when conducting UI/UX audits, accessibility reviews, user flow analysis, responsive testing, or interaction design evaluation.
Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.
EDA, dashboards, Matplotlib, Seaborn, Plotly, and BI tools. Use for creating visualizations, exploratory analysis, or dashboards.
ARIMA, SARIMA, Prophet, trend analysis, seasonality detection, anomaly detection, and forecasting methods. Use for time-based predictions, demand forecasting, or temporal pattern analysis.
Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.
R programming for data analysis, visualization, and statistical workflows. Use when working with R scripts (.R), Quarto documents (.qmd), RMarkdown (.Rmd), or R projects. Covers tidyverse workflows, ggplot2 vis...
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 c...
Create factual working journal entries in Notes/WorkingJournal/ after completing analysis work. Use when user asks to "summarize work", "document results", or "create working journal entry". Ensures code is com...
Visualize subagent task dependencies using ASCII diagrams before launching agents and create comprehensive HTML summaries after completion.
WCAG-compliant Mermaid diagrams using verified accessible color palette. Use when creating diagrams, flowcharts, or any color-dependent visualizations requiring accessibility compliance for color blindness.
Analyze OpenCode conversation history to identify themes and patterns in user messages. Use when asked to analyze conversations, find themes, review how a user steers agents, or extract insights from session hi...
Extended reasoning analysis using sequential thinking. Use for deep exploration, comprehensive analysis, complex decisions, or when you need fresh perspectives on difficult problems.
Generate comprehensive work summaries from daily notes or conversation context. Use for performance reviews, project retrospectives, or documenting completed work with timeline and impact.
Real-time monitoring of ClickHouse metrics, events, and asynchronous metrics. Use for load average, connections, queue monitoring, and resource saturation.
Diagnose ClickHouse RAM usage, OOM errors, memory pressure, and allocation patterns. Use for memory-related issues and out-of-memory errors.
Diagnose ClickHouse disk usage, compression efficiency, part sizes, and storage bottlenecks. Use for disk space issues and slow IO.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。