2 409 data analysis skills from 443 authors. They crunch numbers, pivot tables and turn both into something readable. Half of them fit into 1 952 tokens or less — that is what one costs your context window when the agent loads it. 549 ship runnable scripts rather than instructions alone. 31 of them cannot work without an MCP server, most often rube. We also found 386 copies of these same skills sitting in other people's repositories — counted once here, not 386 times.
2 409 unique 443 authors 5 updated this month 241 from vendors
UX design expert for auditing and redesigning pages, dashboards, and data-heavy interfaces. Use /ux-expert when you want a professional UX review of an existing page, a redesign proposal with rationale grounded in UX principles and customer psychology, or help choosing the right UI components for a layout. Works by reading actual code, identifying problems across 8 dimensions, and producing actionable specs collaboratively with the user. Specializes in B2B SaaS, dashboards, analytics, and data-dense applications.
Process and analyze CSV, JSON, and text files with data transformation, cleaning, analysis, and visualization capabilities
Generates a status report of all diagrams and MicroSims across an intelligent textbook's chapters, including difficulty, Bloom's level, and UI complexity. Use to audit visualization coverage before a content review.
Generates a LinkedIn post announcing an intelligent textbook milestone by pulling book metrics, chapter count, and key statistics. Use when announcing textbook completion or major content milestones on social media.
Creates or updates the GitHub README for a textbook project with badges, project overview, site metrics, and getting-started instructions.
Wires Google Analytics 4 into an MkDocs Material site — creates a GA4 property, writes the Measurement ID into mkdocs.yml, verifies the tag, and deploys. Use when adding analytics to a textbook for the first time.
Installs and configures intelligent-textbook infrastructure - scaffold a brand-new MkDocs Material textbook (init textbook), install any of 40 features (math, mascot, learning graph viewer, Google Analytics GA4, custom 404, kanban board), and generate book metrics. Routes to the appropriate installation guide.
Authoritative reference for the Lagune dashboard, a live view of a project's .lagune/ chain with a locked-down local action surface. Use before changing anything under src/dashboard/ or src/types/dashboard/.
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
End-to-end analytics & conversion tracking on Shopify Hydrogen — GTM, GA4 (browser + Measurement Protocol), Meta Pixel + CAPI, Google Ads, consent mode, CSP, Oxygen full-page cache. Real-world patterns from production deployments.
Core Shopify Hydrogen APIs — createHydrogenContext, cart handler, CartForm, caching strategies, pagination, SEO, variant selection, analytics, and CSP.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks.
Load when a task needs anti-template frontend visual direction, design-read calibration, or pre-flight critique for landing pages, portfolios, marketing pages, or redesigns; do not load for dashboards, data tables, multi-step product UI, routine frontend logic, HTML reports, slide decks, or generic code explanation.
Load when an existing Web product, especially a dashboard, dense-data view, or multi-step app, needs a deep evidence-backed experience review; report findings only, and use design-taste-frontend for marketing-page direction, code-review for source diffs, web-design-guidelines for checklist compliance, or frontend-design for implementation.
Lightweight, script-driven variant of data2motion for turning data into a smooth, on-brand animated chart (one self-contained HTML) — built for a TEXT-ONLY model that cannot see its own output. You never write HTML/CSS/SVG/animation; you extract the data, pick a chart, fill a small JSON spec, and run one build script that owns 100% of the look and the motion, so the result cannot drift from the house template style or lose its smoothness. Use to turn a number/stat/table/CSV/paragraph into a quick animated chart, data reveal, or KPI when you want guaranteed template fidelity with minimal reasoning and no image feedback.
Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Use for exploratory analysis and executive-ready outputs.
Generate deterministic SVGs from structured specs with validation and rendering. Use for icons, diagrams, charts, UI mockups, and technical drawings.
Google Analytics 4 configuration and data-quality audit — key events, data streams, custom dimensions, attribution, retention, PII, Ads link, BigQuery export
Grafana、SigNoz、および同様のプラットフォーム用の実際のオペレータ質問に答える監視ダッシュボードを構築します。メトリクスを虚栄ボードではなく機能するダッシュボードに変える場合に使用します。
Head-to-head comparison of coding agents (OpenAI Codex, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.
Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.
| Convert a two-person chat history into a relationship K-line chart. When invoked, walk the user through providing a chat file, run the local preprocessing pipeline, score every "turn" (consecutive same-sender block) with v3.1 semantic deltas, expand back to message-level scored.jsonl, and hand off to the local web frontend for visualization.
| WorldQuant 101 Formulaic Alphas — 因子计算、IC测试、回测一体化工具包。 基于Kakushadze (2015) 论文,提供101个价量/波动率/相关性因子的Python/Pandas实现。 "WorldQuant因子", "价量因子", "alpha因子库".
Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data. Use when the user wants to set up, fix, or evaluate analytics tracking (GA4, GTM, product analytics, events, conversions, UTMs). Focuses on measurement strategy, signal quality, and validation — not just firing events.
Build KPI frameworks, predictive models, real-time dashboards, and strategic recommendations using modern BI tools and AI-powered analytics. Use when the user needs business intelligence, data-driven decision support, revenue modeling, customer segmentation, cohort analysis, or executive reporting.
Model business performance, define KPIs, and turn data into decision-ready dashboards, briefings, and operating cadences for teams and executives.
Process, transform, analyze, and report on CSV and JSON data files. Use when the user needs to filter rows, join datasets, compute aggregates, convert formats, deduplicate, or generate summary reports from tabular data. Works with any CSV, TSV, or JSON Lines file.
> Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Includes tech debt analyzer, team scaling calculator, engineering metrics frameworks, technology evaluation tools, and ADR templates. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.
Data visualization, report generation, SQL queries, and spreadsheet automation. Transform your AI agent into a data-savvy analyst that turns raw data into actionable insights.
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive present...
DuckDB CLI specialist for SQL analysis, data processing and file conversion. Use for SQL queries, CSV/Parquet/JSON analysis, database queries, or data conversion. Triggers on "duckdb", "sql", "query", "data analysis", "parquet", "convert data".
Compute HEIM diversity and equity metrics from VCF or ancestry data. Generates heterozygosity, FST, PCA plots, and a composite HEIM Equity Score with markdown reports.
Track business income and expenses in structured CSV format. Categorize transactions, monitor cash flow, generate P&L summaries, and spot spending trends.
Analyze Google Analytics data, review website performance metrics, identify traffic patterns, and suggest data-driven improvements. Use when the user asks about analytics, website metrics, traffic analysis, conversion rates, user behavior, or performance optimization.
Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically.
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data ...
Log activity to activities.csv
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
Design production observability strategies covering SLI/SLOs, metrics, logs, traces, dashboards, and alert quality.
Pharmacogenomic report from DTC genetic data (23andMe/AncestryDNA)
Implements comprehensive backtesting capabilities for Pine Script indicators and strategies. Use when adding performance metrics, trade analysis, equity curves, win rates, drawdown tracking, or statistical validation. Triggers on "backtest", "performance", "metrics", "win rate", "drawdown", or testing requests.
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
> This skill should be used when the user asks to "calculate MRR", "analyze churn", "compute SaaS metrics", "do cohort retention analysis", "calculate LTV or CAC", "evaluate unit economics", or "track subscription revenue growth".
Automate SendGrid email operations including sending emails, managing contacts/lists, sender identities, templates, and analytics via Rube MCP (Composio). Always search tools first for current schemas.
Priority tasks for today — checks live sources (email, calendar) before showing stale CSV data