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Data Analysis

Statistical analysis and data visualization.

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data-analysis
156

investigation-plotter

Generate investigation-specific figures from the local artifact graph (post-run plotting agent).

lamm-mit
lamm-mit
data-ai
open
data-analysis
156

fabric

Pattern-based analysis using Fabric's 242+ specialized prompts for summarizing papers and extracting insights

lamm-mit
lamm-mit
data-ai
open
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
lamm-mit
data-ai
open
data-analysis
156

minerals-viz

Generate charts (PNG/SVG) for critical minerals data โ€” production, trade, import reliance, and time series

lamm-mit
lamm-mit
data-ai
open
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
lamm-mit
data-ai
open
data-analysis
156

plotly

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

lamm-mit
lamm-mit
data-ai
open
data-analysis
155

yida-report

ๅฎœๆญๅŽŸ็”ŸๆŠฅ่กจๆŠ€่ƒฝ๏ผŒ็”จไบŽๅˆ›ๅปบๅฎœๆญๅนณๅฐๅ†…็ฝฎ็š„ๅŽŸ็”ŸๆŠฅ่กจ้กต้ข๏ผˆvc-yida-report ็ป„ไปถๅบ“๏ผ‰๏ผŒๆ”ฏๆŒ 16 ็งๅผ€็ฎฑๅณ็”จ็š„ๅ›พ่กจ/่กจๆ ผ/็ญ›้€‰ๅ™จ็ป„ไปถ๏ผŒ้€š่ฟ‡ openyida create-report ๅ‘ฝไปค็”ŸๆˆๆŠฅ่กจ Schema ๅนถๅ‘ๅธƒใ€‚ๆœฌๆŠ€่ƒฝๅฎšไฝ๏ผšๅˆ›ๅปบๅฎœๆญๅŽŸ็”ŸๆŠฅ่กจ๏ผˆไฝœไธบๆ•ฐๆฎๆบ๏ผ‰๏ผŒๆ™ฎ้€š็š„ใ€ŒๆŠฅ่กจใ€ใ€Œ็ปŸ่ฎกใ€้œ€ๆฑ‚้ป˜่ฎคไฝฟ็”จๆœฌๆŠ€่ƒฝใ€‚ๅฆ‚้œ€ๆ›ด็พŽ่ง‚็š„ ECharts ่‡ชๅฎšไน‰ๅฏ่ง†ๅŒ–ๅคงๅฑ๏ผŒ่ฏทไฝฟ็”จ yida-chart ๆŠ€่ƒฝ๏ผˆไพ่ต–ๆœฌๆŠ€่ƒฝๅˆ›ๅปบ็š„ๅŽŸ็”ŸๆŠฅ่กจไฝœไธบๆ•ฐๆฎๆบ๏ผ‰ใ€‚ไธ้€‚็”จไบŽ๏ผšๅˆ›ๅปบ ECharts ่‡ชๅฎšไน‰ๅฏ่ง†ๅŒ–ๅคงๅฑ๏ผˆๅบ”ไฝฟ็”จ yida-chart๏ผ‰๏ผŒๆˆ–็›ดๆŽฅๆŸฅ่ฏข่กจๅ•ๆ•ฐๆฎ๏ผˆๅบ”ไฝฟ็”จ yida-data-management๏ผ‰ใ€‚

openyida
openyida
data-ai
open
data-analysis
155

pm-data-discovery

็”จไบŽๅ…ˆๆžๆธ…ๆฅšโ€œๆœ‰ๅ“ชไบ›ๆ•ฐๆฎๅฏ็œ‹ใ€ๆ€Žไนˆๆœ็ดข็›ฎๆ ‡ๅธ‚ๅœบใ€ๆ€Žไนˆ่ฝๅœฐๆ•ฐๆฎๆ ทๆœฌโ€็š„ๆŠ€่ƒฝใ€‚ๅชๅšๆ•ฐๆฎๅ‘็ŽฐไธŽๅ–ๆ•ฐ๏ผŒไธๅš็ญ–็•ฅๅ‡่ฎพใ€‚

YichengYang-Ethan
YichengYang-Ethan
data-ai
open
data-analysis
152

tweet-digest

Aggregate and summarize tweets from tracked accounts

aaronjmars
aaronjmars
data-ai
open
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
sundial-org
data-ai
open
data-analysis
145

graphvizgenerate-legend

Generate a Graphviz legend template for causal knowledge graphs with node types and edge styles

causify-ai
causify-ai
data-ai
open
data-analysis
145

graphvizcausal-kg-style

Represent a Causal Knowledge Graph in Graphviz DOT format following visual conventions for causal inference

causify-ai
causify-ai
data-ai
open
data-analysis
143

executive-briefs

Use to craft concise revenue updates for executives and boards.

gtmagents
gtmagents
data-ai
open
data-analysis
143

community-sentiment-dashboard

Reporting template for tracking sentiment, risks, and advocacy signals across social + community channels.

gtmagents
gtmagents
data-ai
open
data-analysis
143

partner-ecosystem-map

Visualization toolkit for mapping partner landscape, coverage, and priorities.

gtmagents
gtmagents
data-ai
open
data-analysis
143

dashboard-playbook

Best-practice kit for BI dashboard layout, storytelling, and adoption.

gtmagents
gtmagents
data-ai
open
data-analysis
143

visualization-patterns

Use when designing dashboards, reports, and narratives for GTM stakeholders.

gtmagents
gtmagents
data-ai
open
data-analysis
143

engagement-analytics

Use when measuring webinar funnel performance and diagnosing audience behavior.

gtmagents
gtmagents
data-ai
open
data-analysis
143

customer-insights

Use when consolidating product usage, health, and sentiment signals for lifecycle programs.

gtmagents
gtmagents
data-ai
open
data-analysis
143

save-play-library

Use to catalog churn/expansion plays tied to specific signals, cohorts, and owners.

gtmagents
gtmagents
data-ai
open
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
SCStelz
data-ai
open
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
SCStelz
data-ai
open
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