Claude skills for Data

4 skills in the bank are filed under Data. They are grouped here because they compete for the same jobs — which is the reason an agent reaching for one of them sometimes gets another.

• Chart Designerclaude-officeTurns a prepared dataset into the right visualization — choosing an appropriate chart type and emitting ready-to-render configs for libraries like ECharts and Chart.js, up to full dashboards. Its job is PRESENTING data visually; it does not scrape sources, clean the data, or compute the statistical findings you decide to show.
• Deep ResearchfirecrawlInvestigates an open-ended question by gathering evidence across many websites and synthesizing a formal, cited report — executive summary, multi-angle findings, contrarian views, and open questions. It is for report-scale SYNTHESIS of a complex topic from the open web, not quick lookups, top-N product lists, or literature reviews over published papers.
• Exploratory Data Analysisk-denseProfiles a dataset you already have — distributions, missingness, outliers, leakage, and transformation sensitivity — and scaffolds a rigorous EDA report, all computed locally and deterministically without touching the network. It INSPECTS data before you model it; it does not gather the data, draw the finished charts, or make causal or confirmatory claims.
• Web ScrapingjamditisPulls data off web pages that don't hand it over cleanly — cascading through fallback fetch strategies and coping with 403s, CAPTCHAs, and rate limits, while validating every URL and treating whatever comes back as untrusted. It is a disciplined way to ACQUIRE raw data from the live web, not a tool for analyzing, charting, or synthesizing what you collect.