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Data Analysis - Agent Skills | SkillsMP

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data-analysis

Data Analysis

Browse agent skills for data processing, visualization, and analytics. Extract insights from data with powerful tools.

NousResearch/hermes-agent

Build auditable Excel workbooks headless with openpyxl — blue/black/green cell conventions, formulas over hardcodes, named ranges, balance checks, sensitivity tables. Use for financial models, audit outputs, reconciliations.

huggingface-hub

NousResearch/hermes-agent

HuggingFace hf CLI: search/download/upload models, datasets.

Shubhamsaboo/awesome-llm-apps

SQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.

visualization-expert

Shubhamsaboo/awesome-llm-apps

Chart selection and data visualization guidance for effective data communication. Use when: creating visualizations, choosing chart types, designing dashboards, or when user mentions data visualization, charts, graphs, or needs help presenting data visually.

social-media-dashboard

nexu-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

nexu-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.

html-ppt-zhangzara-peoples-platform

nexu-io/open-design

People's Platform (Block & Bold) — Activist poster energy: blue, orange, red on cream, with Alfa Slab + Caveat Brush. Anything that should feel honest, loud, and graphic: cultural commentary, manifestos, civic and community decks, design talks, campaign pitches.

social-media-dashboard

nexu-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

nexu-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-reddit-card

nexu-io/open-design

Realistic Reddit post card with vote rail and comment count, suited to video overlays or story sharing.

d3-visualization

nexu-io/open-design

Teaches the agent to produce D3 charts and interactive data visualizations. A comprehensive D3.js skill with examples across chart types and techniques giving the agent expert-level knowledge to generate complex, interactive visualizations. Useful for editorial dashboards, reports, data-rich prototypes, and explanatory graphics.

social-reddit-card

nexu-io/open-design

Realistic Reddit post card with vote rail and comment count, suited to video overlays or story sharing.

SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting

Cluster code by graph community detection via npx ruvector@0.2.25 hooks graph-cluster (spectral / Louvain)

Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table

cost-compact-context

Wrap getTokenOptimizer().getCompactContext() to retrieve compacted ReasoningBank context for cost-analysis queries; report bridge-reported tokensSaved

Scaffold an aggregate root with entity, value objects, repository interface, domain events, and test stubs

Extract entities and relations from source files to build a knowledge graph

Ingest and normalize market data into OHLCV vectors with HNSW indexing

observe-metrics

Aggregate and display system metrics with anomaly detection for a time period

datawhalechina/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。

understand-knowledge

Lum1104/Understand-Anything

Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.

sickn33/antigravity-awesome-skills

Connect to Helium's MCP server for news research, media bias analysis, balanced perspectives, stock/options data, and semantic meme search across 3.2M+ articles and 5,000+ sources

sickn33/antigravity-awesome-skills

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.

monte-carlo-prevent

sickn33/antigravity-awesome-skills

Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.

monte-carlo-validation-notebook

sickn33/antigravity-awesome-skills

Generates SQL validation notebooks for dbt PR changes with before/after comparison queries.

oral-health-analyzer

sickn33/antigravity-awesome-skills

分析口腔健康数据、识别口腔问题模式、评估口腔健康状况、提供个性化口腔健康建议。支持与营养、慢性病、用药等其他健康数据的关联分析。

sickn33/antigravity-awesome-skills

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.

sickn33/antigravity-awesome-skills

Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.

sexual-health-analyzer

sickn33/antigravity-awesome-skills

Sexual Health Analyzer

sickn33/antigravity-awesome-skills

Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods.

travel-health-analyzer

sickn33/antigravity-awesome-skills

分析旅行健康数据、评估目的地健康风险、提供疫苗接种建议、生成多语言紧急医疗信息卡片。支持WHO/CDC数据集成的专业级旅行健康风险评估。

sickn33/antigravity-awesome-skills

Math-heavy escalation for n >= 10^6 — Bloom, HyperLogLog, Count-Min, MinHash/LSH, FFT, JL projection, sweep line. Use when classical O(n log n) is the floor and approximate or math wins.

news-sentiment-engine

sickn33/antigravity-awesome-skills

Multi-source RSS news aggregation with Claude-powered sentiment analysis and structured briefing output

multi-reviewer-patterns

wshobson/agents

Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.

data-storytelling

wshobson/agents

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

kpi-dashboard-design

wshobson/agents

Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use this skill when building an executive SaaS metrics dashboard tracking MRR, churn, and LTV/CAC ratios; designing an operations center with live service health and request throughput; creating a cohort retention analysis view for a product team; or debugging a dashboard where metrics contradict each other due to inconsistent calculation methodology.

dbt-transformation-patterns

wshobson/agents

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

sql-optimization-patterns

wshobson/agents

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

grafana-dashboards

wshobson/agents

Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.

attack-tree-construction

wshobson/agents

Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.

market-sizing-analysis

wshobson/agents

Calculate TAM/SAM/SOM for market opportunities using top-down, bottom-up, and value theory methodologies. Use this skill when sizing markets, estimating addressable revenue, validating market opportunity for a new venture, or building investor-ready market analysis for a startup pitch or business plan.

startup-financial-modeling

wshobson/agents

Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. Use this skill when creating financial projections, calculating burn rate or runway, modeling fundraising scenarios, or preparing investor-ready financials for a seed or Series A raise.

startup-metrics-framework

wshobson/agents

Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting.

team-composition-analysis

wshobson/agents

Design optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A. Use this skill when planning headcount, determining which roles to hire next, setting compensation or equity ranges, designing org structure, or building a hiring budget aligned to funding milestones.

powerbi-modeling

github/awesome-copilot

Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.

solid-getting-started

End-to-end first table with `@tanstack/solid-table` v9. Install, declare `_features` via `tableFeatures()`, declare `_rowModels` with the matching factories (e.g. `createSortedRowModel(sortFns)`), create a column helper with `createColumnHelper<typeof _features, TData>()`, build the table with `createTable(options)` using reactive `get data() {...}` getters, and render rows via `FlexRender` (or `table.FlexRender`).

column-definitions

Define TanStack Table v9 columns with `createColumnHelper<typeof _features, TData>()`. Covers `columnHelper.accessor` (key + function forms), `columnHelper.display`, `columnHelper.group`, `columnHelper.columns`, the `ColumnDef`/`AccessorKeyColumnDef`/ `AccessorFnColumnDef`/`DisplayColumnDef`/`GroupColumnDef` types, `accessorKey` with `DeepKeys`, `accessorFn`, the `header`/`cell`/`footer`/`aggregatedCell` renderers, required `id` rules, and `getRowId` for stable row identity.