6324개의 스킬
AI-driven hybrid data analysis workflow supporting R (tidyverse and ggplot2) and Python (pandas and seaborn). Provides templates for 70 percent of common tasks including variable exploration, data cleaning, processing, and plotting. Also generates AI code for custom needs. Uses bash testing with iteration and MCP Context7 for function references. Use when analyzing data files, creating visualizations, cleaning and transforming data, running statistical tests, creating publication quality figures, or working with Quarto qmd documents.
Aggregate and deduplicate findings from multiple audit reports
Analyst agent for SDD v3.0 Full workflow. Conducts risk assessment interviews and produces discovery.md with evidence-based risk classification.
Create and present analysis tables consistently. Use when writing R analysis outputs with coefficients or summary statistics; prefer LaTeX table artifacts on disk and present key numeric results as terminal tables in responses.
Build a merged local-network topology graph and likely client-to-gateway path from NETTOOLS evidence sources.
High-level introduction to SynGraphBench and quick-reference heuristics for agents. Entry point — links to detailed skills.
Work with Databricks for data analysis, notebooks, and jobs. Triggered by "databricks", "check databricks", "run notebook", or "query data".
Patterns for Web Worker integration in OSCAR analyzer including CSV parsing, analytics computation, and Fitbit API communication. Use when implementing or debugging worker-based features.
Statistical methods for analyzing A/B test (controlled experiment) results. Covers hypothesis testing for different metric types, multiple comparison corrections, and effect size calculations. Use when analyzing experiment data with control and treatment groups.
Power system network data formats and topology. Use when parsing bus, generator, and branch data for power flow analysis.
Performs basic arithmetic operations including addition, subtraction, multiplication, and division. Use when the user needs to calculate numerical results, perform math operations, or solve arithmetic problems.
Designs causal studies and estimates treatment effects using propensity scores, difference-in-differences, instrumental variables, and regression discontinuity, with formal assumption checks
SQL查询模板库 - 常用数据分析查询模板： 1. 全局考虑：覆盖探索、时间分析、队列分析、漏斗分析等场景 2. 系统考虑：场景选择→模板加载→参数填充→查询生成闭环 3. 迭代机制：根据使用频率优化模板库 4. Skill化：标准接口，可扩展新模板 5. 流程自动化：自动生成可执行SQL
Generate a daily roundup. Use when asked to generate roundup, create daily summary, summarize today, end of day summary, or daily report.
数据可视化引擎 - 多格式图表生成与仪表板创建： 1. 全局考虑：覆盖柱状图、折线图、饼图、表格、热力图等多类型 2. 系统考虑：数据输入→图表选择→生成→输出闭环 3. 迭代机制：根据使用反馈优化图表样式 4. Skill化：标准接口，支持多种输出格式 5. 流程自动化：一键生成多种格式图表
Generate Nature-tier abstracts using Move-by-Move Solver with per-sentence verification.
Three-state circuit breaker visualization using color-coded state machine with real-time metrics dashboard
Render time-series data as a scrolling multi-series canvas chart with downsampled LTTB buckets and a brushable overview band.
TanStack Table で勤怠一覧/勤務表を作る。列定義、ソート/フィルタ、ページング、集計行、アクセシビリティ、CSV出力の型を固定する。キーワード: TanStack Table, table, columns, sorting, filtering, CSV
Use this skill for any data or analytics task — querying databases, analyzing metrics, exploring data warehouses, processing datasets, or creating visualizations.
Create animated GIF infographics from data. Supports 23 chart types including pie, bar, line, scatter, sankey, gauge, radar, funnel, treemap, heatmap, and more. Just describe your data and chart type.
Propose falsifiable hypotheses when evidence coverage is sufficient.
Access daily store analytics for 斑马侠散酒铺 (Banmaxia Liquor Store). Fetch sales data, generate analysis reports, and save them. Use when asked about store performance, daily sales, revenue analysis, or generating store reports.
執行完整六步驟看板分析並產出報告。觸發語句：「重新做完整分析」。讀取 Task_dashboard_v6_SDD.md 的分析框架，對 wekan json/ 最新資料進行六步驟深度分析，產出繁體中文 Markdown 報告。
Sleep Analyst - Correlate sleep data with productivity metrics
Generate charts and graphs from data
Create enterprise-grade interactive charts with Highcharts
Extract and prepare study data for meta-analysis including effect size calculation, variance estimation, and handling missing data. Use when users need to convert reported statistics into analyzable format or calculate effect sizes from raw data.
Assess and interpret between-study heterogeneity in meta-analysis using I², Q statistic, tau², and prediction intervals. Use when users need to evaluate consistency across studies, understand sources of variation, or decide if pooling is appropriate.
Teach network meta-analysis (NMA) for comparing multiple treatments simultaneously. Use when users need to compare more than two interventions, understand indirect comparisons, or create network plots and league tables.