2 399 data analysis skills from 443 authors. They crunch numbers, pivot tables and turn both into something readable. Half of them fit into 1 951 tokens or less — that is what one costs your context window when the agent loads it. 545 ship runnable scripts rather than instructions alone. 31 of them cannot work without an MCP server, most often rube. We also found 355 copies of these same skills sitting in other people's repositories — counted once here, not 355 times.
2 399 unique 443 authors 1 328 updated this month 230 from vendors
>- Apple Human Interface Guidelines for content display components. Use this skill when the user asks about "charts component", "collection view", "image view", "web view", "color well", "image well", "activity view", "lockup", "data visualization", "content display", displaying images, rendering web content, color pickers, or presenting collections of items in Apple apps. Also use when the user says "how should I display charts", "what's the best way to show images", "should I use a web view", "how do I build a grid of items", "what component shows media", or "how do I present a share sheet". visualization patterns, hig-components-layout for structural containers, hig-platforms for platform-specific component behavior.
Report deck generator / data-report presentation builder — turns a data report into a 16:9 web-based slide deck (1600×900 design canvas, auto-scaled to the browser), playable fullscreen with one-click PDF export. Per-slide split source + physical data separation + switchable themes + ECharts charts. **Always use this skill** when the user asks to "make a monthly/quarterly report", "make a work-report deck", "turn data into a web/PDF presentation", or wants to reuse a "one file per slide, data stored separately, themes switchable" deck template. Even if the user never says "PPT" or "slides", any time the task is to turn "several datasets + conclusions" into a presentable/shareable web report, follow this skill's workflow.
Design robust experiments to test product hypotheses. Define metrics, sample size, and success criteria.
Analyze product data from a CSV file or pasted data. Finds trends, anomalies, segments, and actionable insights. Ask questions about your data in plain English.
Classify and analyze raw user feedback into themes, sentiment, and actionable insights. Takes pasted feedback text or a path to a CSV file and returns structured patterns and recommendations.
Design a complete A/B test or experiment from a hypothesis. Takes what you want to test and outputs a full experiment design with hypothesis, metrics, sample size, duration, and success criteria.
钉钉通讯录与联系人查询。当用户提到"钉钉通讯录"、"查找员工"、"搜索用户"、"查用户信息"、"获取用户详情"、"用户手机号"、"员工姓名"、"员工工号"、"查部门"、"搜索部门"、"部门成员"、"部门列表"、"部门详情"、"子部门"、"父部门"、"部门路径"、"员工总数"、"通讯录搜索"、"userId 转 unionId"、"unionId 转 userId"、"dingtalk contact"、"dingtalk directory"、"find user"、"get user info"、"department members"时使用此技能。支持：按关键词搜索用户/部门、获取用户完整信息（姓名/手机/工号/部门/职位/unionId）、获取部门成员列表、获取部门树结构、查询用户所在部门路径、员工总人数统计等全部通讯录操作。
Use this skill when choosing, running, or interpreting iOS performance profiling workflows, including Instruments traces, signposts, XCTest metrics, MetricKit, Xcode Organizer, hangs, hitches, CPU, allocations, memory graphs, disk I/O, networking, power, or production performance signals. Do not use it as the deep domain skill for launch, SwiftUI, concurrency, perceived performance, or runtime issues unless the task is specifically about measurement, tool selection, trace interpretation, or verification.
Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "attribution," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For A/B test measurement, see ab-testing.
> Generate detailed content briefs for blog posts with target keywords, content outlines, competitive analysis, recommended statistics, image and chart suggestions, word count targets, internal linking architecture, template recommendations (12 types), TL;DR drafts, citation capsule planning, information gain prompts, and multi-channel distribution plans. Briefs are optimized for Google rankings and AI citations (GEO/AEO). Use when user says "content brief", "blog brief", "write brief", "outline blog", "plan blog post", "blog outline", "content outline".
> Generate dark-mode-compatible inline SVG data visualization charts for blog posts. Supports horizontal bar, grouped bar, donut, line, lollipop, area, and radar charts with automatic platform detection (HTML vs JSX/MDX). Enforces chart type diversity, accessible markup (role=img, aria-label), source attribution, and transparent backgrounds. Use whenever the user mentions data visualization, charts, graphs, comparison tables that need to be visualized, or wants to embed inline SVG visualizations in a blog post, even if not invoking blog-write. Use when user says "blog chart", "generate chart", "data visualization", "svg chart", "blog graph", "visualize data", or when the blog-write workflow identifies chart-worthy data points (3+ comparable metrics, trends, before/after data).
> Verify statistics and claims in blog posts by fetching cited source URLs and checking if the claimed data actually appears on the page. Extracts all statistical claims (numbers, percentages, named sources), fetches each cited URL via WebFetch, and scores match confidence (exact match 1.0, paraphrase 0.7-0.9, not found 0.0). Flags uncited claims as UNVERIFIED. Use when user says "fact check", "verify statistics", "check sources", "validate claims", "factcheck", "source verification".
> SERP-informed outline generation with H2/H3 heading hierarchy, competitive content gap analysis, section-by-section word count targets, chart and image placement markers, FAQ question planning, and internal linking zones. blog-brief instead if you need full competitive analysis, statistics research, and image suggestions. Lighter than a full content brief, generates article skeleton and structure only, ready for /blog write to consume. Use when user says "outline", "blog outline", "content outline", "structure blog", "plan sections", "article skeleton", "heading structure", "SERP analysis", "competitive outline", "plan article".
> Rewrite and optimize existing blog posts for Google rankings (December 2025 Core Update, E-E-A-T) and AI citations (GEO/AEO). Full rewrite for both Google rankings AND AI citations. For AI-citation-only audit (no Google work), use blog-geo instead. Replaces fabricated statistics with sourced data, applies answer-first formatting, adds Pixabay/Unsplash images, generates built-in SVG charts, injects FAQ schema, performs AI content detection, adds citation capsules and information gain markers, and updates freshness signals. Works with any blog format (MDX, markdown, HTML). Use when user says "rewrite blog", "optimize blog", "update blog", "improve blog", "fix blog", "refresh blog post", "blog optimization".
> Write new blog articles from scratch optimized for Google rankings and AI citations. Generates full articles with template selection, answer-first formatting, Key Takeaways summary box, information gain markers, citation capsules, sourced statistics, Pixabay/Unsplash images, built-in SVG chart generation, FAQ schema, internal linking zones, and proper heading hierarchy. Supports MDX, markdown, and HTML output. Use when user says "write blog", "new blog post", "create article", "write about", "draft blog", "generate blog post".
Design clear, accessible data visualizations with appropriate chart selection and styling.
Define UX metrics and KPIs that connect design decisions to measurable business and user outcomes.
Transform weak resume bullets into achievement-focused statements with metrics and impact
Find opportunities to add metrics and estimate numbers when exact data unavailable
> Audits any API documentation site by crawling every endpoint page and scoring each one response codes, and response schema completeness. Produces a polished interactive HTML report with a summary scorecard, site-wide pattern analysis, ranked top issues, and per-endpoint findings with specific fix guidance. Trigger this skill whenever a user provides a documentation URL and asks to audit, review, docs.company.com", "check the API docs at X", "run the API docs audit on X", "review the docs for Y API", or pastes a URL alongside words like audit, review, crawl, check, analyse, quality, completeness, or gaps. Always use this skill — do not attempt the audit without following this structured crawl-score-report workflow.
Analyze production Agentforce agent behavior using session traces and Data Cloud. TRIGGER when: user queries STDM session data or Data Cloud trace records; investigates production agent failures, regressions, or performance issues; asks about session traces, conversation logs, or agent metrics; wants to reproduce a reported production issue in preview; runs findSessions or trace analysis queries. DO NOT TRIGGER when: user creates, modifies, or debugs .agent files during development (use agentforce-generate); writes or runs test specs (use agentforce-test); uses sf agent preview for local development iteration; deploys or publishes agents.
Mine the user's Claude Code + Cowork session history into a structured task profile, what they do with AI, how often, how successfully where friction lives, then propose atomic skills that would reduce iteration. Use when the user asks to "analyse my Claude use", "build a task profile", "what tasks do I do with Claude", "where am I spending tokens", "what skills would help me", or mentions reviewing past sessions for patterns. Produces profile.csv (shareable), explorer.html (personal coaching view with AI-first principle comparison + token-spend chart), and skill-proposals.md.
When to reach for PyWry MCP tools (native webview rendering, Plotly, TradingView, AgGrid, chat) instead of writing Flask/Streamlit/Dash/Electron code. Use at the start of any task involving interactive UI, dashboards, charts, or chat widgets driven from Python.
Drive a live TradingView Lightweight Charts widget end-to-end via PyWry MCP tools — symbol, interval, indicators, markers, price lines, layouts, state.
Track Serenity / @aleabitoreddit on X and turn the feed into (1) a beginner-friendly Chinese iMessage digest with first-principles + Buffett-style judgement, (2) cumulative 60-day ticker mention analytics CSVs for a website, (3) a Xiaohongshu writing brief, and (4) a durable private research map. Trigger on requests like "follow aleabitoreddit / AleaBito / Serenity", "daily Chinese updates from that X account", "60-day mention analytics", "ticker mention count", "写小红书 aleabito", "aleabito 研究地图 / research map", or any request for Chinese commentary derived from @aleabitoreddit posts.
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