data-analysis
156
investigation-plotter
Generate investigation-specific figures from the local artifact graph (post-run plotting agent).
lamm-mit
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
data-analysis
156
matplotlib
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
lamm-mit
data-ai
data-analysis
156
minerals-viz
Generate charts (PNG/SVG) for critical minerals data — production, trade, import reliance, and time series
lamm-mit
data-ai
data-analysis
156
matlab
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
lamm-mit
data-ai
data-analysis
155
yida-report
宜搭原生报表技能，用于创建宜搭平台内置的原生报表页面（vc-yida-report 组件库），支持 16 种开箱即用的图表/表格/筛选器组件，通过 openyida create-report 命令生成报表 Schema 并发布。本技能定位：创建宜搭原生报表（作为数据源），普通的「报表」「统计」需求默认使用本技能。如需更美观的 ECharts 自定义可视化大屏，请使用 yida-chart 技能（依赖本技能创建的原生报表作为数据源）。不适用于：创建 ECharts 自定义可视化大屏（应使用 yida-chart），或直接查询表单数据（应使用 yida-data-management）。
openyida
data-ai
data-analysis
155
pm-data-discovery
用于先搞清楚“有哪些数据可看、怎么搜索目标市场、怎么落地数据样本”的技能。只做数据发现与取数，不做策略假设。
YichengYang-Ethan
data-ai
data-analysis
152
tweet-digest
Aggregate and summarize tweets from tracked accounts
aaronjmars
data-ai
data-analysis
148
cs448b-visualization
Data visualization design based on Stanford CS448B. Use for: (1) choosing chart types, (2) selecting visual encodings, (3) critiquing visualizations, (4) building D3.js visualizations, (5) designing interactions/animations, (6) choosing colors, (7) visualizing networks, (8) visualizing text. Covers Bertin, Mackinlay, Cleveland & McGill.
sundial-org
data-ai
data-analysis
145
graphvizgenerate-legend
Generate a Graphviz legend template for causal knowledge graphs with node types and edge styles
causify-ai
data-ai
data-analysis
145
graphvizcausal-kg-style
Represent a Causal Knowledge Graph in Graphviz DOT format following visual conventions for causal inference
causify-ai
data-ai
data-analysis
143
executive-briefs
Use to craft concise revenue updates for executives and boards.
gtmagents
data-ai
data-analysis
143
community-sentiment-dashboard
Reporting template for tracking sentiment, risks, and advocacy signals across social + community channels.
gtmagents
data-ai
data-analysis
143
exec-dashboard-blueprint
Layout and storytelling guide for marketing analytics executive dashboards.
gtmagents
data-ai
data-analysis
143
partner-ecosystem-map
Visualization toolkit for mapping partner landscape, coverage, and priorities.
gtmagents
data-ai
data-analysis
143
dashboard-playbook
Best-practice kit for BI dashboard layout, storytelling, and adoption.
gtmagents
data-ai
data-analysis
143
visualization-patterns
Use when designing dashboards, reports, and narratives for GTM stakeholders.
gtmagents
data-ai
data-analysis
143
engagement-analytics
Use when measuring webinar funnel performance and diagnosing audience behavior.
gtmagents
data-ai
data-analysis
143
customer-insights
Use when consolidating product usage, health, and sentiment signals for lifecycle programs.
gtmagents
data-ai
data-analysis
143
save-play-library
Use to catalog churn/expansion plays tied to specific signals, cohorts, and owners.
gtmagents
data-ai
data-analysis
142
heatmap-visualization
Use this skill when asked to create heatmaps, visualize patterns over time, show activity grids, or display aggregated data in a matrix format. Triggers on keywords like "heatmap", "show heatmap", "visualize patterns", "activity grid", "time-based visualization", or when analyzing attack patterns, sign-in activity, or event distributions by time period.
SCStelz
data-ai
data-analysis
142
geomap-visualization
Use this skill when asked to create geographic maps, visualize attack origins on a world map, show location-based data, or display IP geolocation. Triggers on keywords like "geomap", "world map", "geographic", "attack map", "show on map", "visualize locations", "attack origins", or when analyzing data with latitude/longitude coordinates.
SCStelz
data-ai