Skip to main content
skillsmp

Menu

Data Analysis

Browse agent skills for data processing, visualization, and analytics

Categories, GitHub stars, and source recency help organize and order the catalog. These signals are not an endorsement, quality certification, safety review, or guarantee of fit. Open a skill detail and inspect its source before use.

19,794 results

explorer
108.9k
supabasesupabase/supabase
Build and modify Studio Explorer surfaces, including notebooks, chats, SQL snippets, query cells, and their shared toolbar patterns.
social-media-dashboard
94.7k
nexu-ionexu-io/open-design
Creator-facing social media analytics dashboard in a single HTML file. A platform switcher (X / LinkedIn / YouTube / Instagram), a row of KPI cards (followers, engagement rate, likes, reposts), a follower-growth chart, a "top post this week" preview, and a trending topics / top comments side panel. Use when the brief mentions a "social media dashboard", "creator analytics", "social analytics", or names specific platforms (X, Twitter, LinkedIn, YouTube, Instagram, TikTok) together with metrics like followers, engagement, likes, reposts.
social-media-matrix-tracker-template
94.7k
nexu-ionexu-io/open-design
社媒矩阵数据追踪面板模板（Social Media Matrix Tracker）。 Use when users ask for a cinematic, data-dense social media analytics dashboard with multi-platform metrics, interactive charts, hover insights, range compare, and dark/light theme switching in a single HTML artifact.
social-media-dashboard
94.7k
nexu-ionexu-io/open-design
Creator-facing social media analytics dashboard in a single HTML file. A platform switcher (X / LinkedIn / YouTube / Instagram), a row of KPI cards (followers, engagement rate, likes, reposts), a follower-growth chart, a "top post this week" preview, and a trending topics / top comments side panel. Use when the brief mentions a "social media dashboard", "creator analytics", "social analytics", or names specific platforms (X, Twitter, LinkedIn, YouTube, Instagram, TikTok) together with metrics like followers, engagement, likes, reposts.
social-media-matrix-tracker-template
94.7k
nexu-ionexu-io/open-design
社媒矩阵数据追踪面板模板（Social Media Matrix Tracker）。 Use when users ask for a cinematic, data-dense social media analytics dashboard with multi-platform metrics, interactive charts, hover insights, range compare, and dark/light theme switching in a single HTML artifact.
video-template-frame-nyt-graph
94.7k
nexu-ionexu-io/open-design
Use this plugin when the user wants a "NYT Graph" HyperFrames motion video — Animated data chart in print editorial style
video-template-frame-pentagram-stat
94.7k
nexu-ionexu-io/open-design
Use this plugin when the user wants a "Pentagram Stat Frame" HyperFrames motion video — Swiss-grid statistic anchor — giant number, red accent, growing bars, black data bar. Rational and editorial.
check-forecast-signals
85.8k
koala73koala73/worldmonitor
Retrieve probabilistic forecasts and their scorecard context. Use when the user asks what World Monitor is forecasting, how probabilities shifted, or how calibrated the forecasts are.
check-forecast-signals
85.8k
koala73koala73/worldmonitor
Retrieve probabilistic forecasts and their scorecard context. Use when the user asks what World Monitor is forecasting, how probabilities shifted, or how calibrated the forecasts are.
understand-knowledge
81.8k
Egonex-AIEgonex-AI/Understand-Anything
Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.
mx-data
77.3k
datawhalechinadatawhalechina/hello-agents
基于东方财富权威数据库的金融数据查询工具，支持行情、财务及关联关系数据。

Skill content language: Chinese

cost-benchmark
71.6k
ruvnetruvnet/ruflo
Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table
cost-compact-context
71.6k
ruvnetruvnet/ruflo
Wrap getTokenOptimizer().getCompactContext() to retrieve compacted ReasoningBank context for cost-analysis queries; report bridge-reported tokensSaved
kg-extract
71.6k
ruvnetruvnet/ruflo
Extract entities and relations from source files to build a knowledge graph
market-ingest
71.6k
ruvnetruvnet/ruflo
Ingest and normalize market data into OHLCV vectors with HNSW indexing
observe-metrics
71.6k
ruvnetruvnet/ruflo
Aggregate and display system metrics with anomaly detection for a time period
memory-search
71.6k
ruvnetruvnet/ruflo
SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting
understand-knowledge
54.1k
Lum1104Lum1104/Understand-Anything
Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.
data-analysis
45.2k
bojielibojieli/ai-agent-book
基于已确认数据执行可审计的数学计算和描述统计。

Skill content language: Chinese

writing
45.2k
bojielibojieli/ai-agent-book
将共享历史中的已验证事实和计算结果整理成符合受众、格式与长度约束的成稿。

Skill content language: Chinese

matplotlib
43.9k
K-Dense-AIK-Dense-AI/scientific-agent-skills
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.
scientific-visualization
43.9k
K-Dense-AIK-Dense-AI/scientific-agent-skills
Create and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. Use for figure design, multi-panel layouts, uncertainty and missing-data displays, color/contrast review, image metadata validation, and journal export planning.
seaborn
43.9k
K-Dense-AIK-Dense-AI/scientific-agent-skills
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
shap
43.9k
K-Dense-AIK-Dense-AI/scientific-agent-skills
Explain and audit machine-learning predictions with SHAP. Use for selecting SHAP explainers and maskers, computing and validating feature attributions, handling multi-output explanations, and producing local or global SHAP visualizations.
statistical-analysis
43.9k
K-Dense-AIK-Dense-AI/scientific-agent-skills
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.
statistical-power
43.9k
K-Dense-AIK-Dense-AI/scientific-agent-skills
Sample-size and statistical power calculations for planning studies. Use whenever someone asks "how many subjects/samples/replicates do I need", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample size for a grant, IRB protocol, or pre-registration. Covers closed-form power for t-tests, ANOVA, proportions, correlations, chi-square, and regression, plus simulation-based (Monte Carlo) power for designs with no formula — logistic/Poisson regression, mixed models, cluster-randomized trials, survival, and interactions. Use this skill even when the request only mentions an effect size, alpha, or "80% power" without saying "power analysis" explicitly. For laying out the study (randomization, blocking, factorial/DOE, crossover, sequential designs) use experimental-design; for analyzing data already collected and reporting it use statistical-analysis.
statsmodels
43.9k
K-Dense-AIK-Dense-AI/scientific-agent-skills
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
dataviz
40.9k
HmbownHmbown/CodeWhale
Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes.
creating-box-plot-insights
39.6k
PostHogPostHog/posthog
Creates product analytics or SQL-backed box plot insights in PostHog. Use when a user asks to create, build, or save a box plot, visualize a numeric distribution, compare quartiles or medians across dates or groups, or turn SQL results into a box plot. Chooses between a standard Trends box plot and a SQL insight, validates the distribution data, saves the insight, and verifies it.
nature-figure
39.6k
Yuan1z0825Yuan1z0825/nature-skills
Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including multi-panel plots, figures4papers-style work, and journal-ready SVG/PDF/TIFF outputs. Use for paper or scientific plots, manuscript data visualization, 论文配图、学术写作配图、科研绘图、科研作图、画图、作图、出图、论文图表、可视化. Define the conclusion, evidence logic, data integrity, template compatibility, export needs, and reviewer risks before plotting; honor or persist the Python/R backend choice. Also use the separate OpenRouter GPT Image 2 route for explicit AI-generated graphical abstracts, mechanism diagrams, concept schematics, 论文示意图、机制示意图、图形摘要; this route skips backend choice and treats outputs as drafts. Do not use for interactive dashboards, statistics-only analysis, data cleaning, literature review, code debugging, pure photo editing, or Illustrator/Figma-first infographics without manuscript-figure intent.
correlation-regime
33.0k
HKUDSHKUDS/Vibe-Trading
Correlation-regime detection and crisis attribution — edge-density regime states with hysteresis, causal (no look-ahead) smoothing, regime-aware exposure context, first-mover crisis attribution with honest NAME / MACRO / AMBIGUOUS / ABSTAIN verdicts, and a correlation-rewiring leaderboard that catches slow bleed-outs
quant-statistics
33.0k
HKUDSHKUDS/Vibe-Trading
Quantitative statistical methods: ADF unit-root / cointegration tests, GARCH volatility modeling, regression diagnostics (heteroskedasticity / autocorrelation), Bootstrap, and hypothesis testing.
technical-basic
33.0k
HKUDSHKUDS/Vibe-Trading
Core technical indicator collection (trend EMA/ADX + mean-reversion BB/RSI + volume-price OBV/volume ratio), generates a composite signal via three-dimensional voting. Pure pandas implementation for any OHLCV data.
analyzing-disk-image-with-autopsy
32.4k
mukul975mukul975/Anthropic-Cybersecurity-Skills
Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.
analyzing-threat-landscape-with-misp
32.4k
mukul975mukul975/Anthropic-Cybersecurity-Skills
Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape reports with temporal trends. Use when asked to analyze threat intelligence data, summarize top threat actors or malware families, or produce a CTI landscape report from MISP events.
datacommons-client
30.6k
davila7davila7/claude-code-templates
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.
plotly
30.6k
davila7davila7/claude-code-templates
Interactive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).
scientific-visualization
30.6k
davila7davila7/claude-code-templates
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
seaborn
30.6k
davila7davila7/claude-code-templates
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.
statistical-analysis
30.6k
davila7davila7/claude-code-templates
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
officecli-data-dashboard
30.3k
iOfficeAIiOfficeAI/OfficeCLI
Use this skill to build a multi-element Excel dashboard — Dashboard sheet on open, multiple formula-driven KPI cards, multiple charts, sparklines, and conditional formatting — from CSV or tabular input. Trigger on: 'dashboard', 'KPI dashboard', 'analytics dashboard', 'executive dashboard', 'metrics dashboard', 'CSV to dashboard', 'data visualization'. Output is a single .xlsx. Scene-layer on officecli-xlsx: inherits every xlsx hard rule. DO NOT invoke for: a single budget tracker / one-sheet CSV-with-formatting (use xlsx), a 3-statement / DCF / LBO financial model (use financial-model), a weekly report with ≤ 1 chart and < 10 rows (use xlsx).
speckit-git-feature
29.1k
pmndrspmndrs/react-spring
Create a feature branch with sequential or timestamp numbering
getting-started
28.4k
TanStackTanStack/table
Create an Angular TanStack Table v9 table with injectTable inside injection context, explicit stable tableFeatures and columns, signal-backed data, and FlexRender structural directives or helpers.
table-state
28.4k
TanStackTanStack/table
Use Angular-signal-backed table.atoms, direct template reads, computed selectors, controlled signals, value-or-updater callbacks, and external Angular Store atoms while accounting for injectTable initializer reruns.
with-tanstack-query
28.4k
TanStackTanStack/table
Compose Svelte Query with Svelte Table manual filtering, sorting, and pagination using reactive query inputs, query-result data getters, server counts, and a single source of server-data truth.
aggregation
28.4k
TanStackTanStack/table
Aggregate TanStack Table columns independently of grouping, including grand totals, caller-selected row totals, multiple keyed aggregations, custom context-based definitions, grouped merges, manual values, and worker constraints.
recall
28.1k
rohitg00rohitg00/agentmemory
Search agentmemory for past observations, sessions, and learnings about a topic using hybrid BM25 plus vector plus graph search. Use when the user says "recall", "what did we do about", "did we ever", "have we seen", or needs context from past sessions.
vr-test
27.6k
rechartsrecharts/recharts
Create visual regression tests