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By owid
Lightweight skills for working with Our World In Data chart data directly via the web. Includes searching charts, fetching chart data and metadata, and guidance on joining OWID data with external sources. Use this plugin for quick access to charts and their data and metadata in a language-agnostic way without needing to install the owid-catalog Python library. For more complex data work and when python is available, we recommend using the owid-data plugin instead.
npx claudepluginhub owid/owid-claude-plugins --plugin owid-data-webThis skill describes how to fetch data for an Our World In Data chart, once the relevant chart URL has been identified. Consult this skill to understand the possible query params to get the best results and to understand the response. Use it you need to fetch data and have already identified the relevant chart URL.
This skill describes how to join data with Our World In Data data, e.g. when you want to calculate per capita data by using the OWID population data or when you want to create a scatter plot against GDP per capita using OWID's GDP data. It also applies to other cases where several data sources that each have data for multiple countries should be joined together.
Our World In Data offers thousands of charts and related data on many important topics - from global population data, energy and electricity, economic data like GDP or poverty, health data like causes of death or prevalence of diseases, to data on democracy, violence and war. This skill describes how to effectively search for charts to either show visually or download the data for.
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Edward Tufte's Visual Display of Quantitative Information — three executable skills (route, assess, render) backed by a VDQI-sourced principles reference. Scores graphics against Tufte's nine criteria with named chartjunk species and a 13-entry catalogue of dissected failures, and renders per-genre charts (time-series, small multiples, quartile plot, range-frame scatter) plus a tufte-css HTML wrapper.
Generate G6 v5 graph visualization code. Use when user asks for G6 graphs, network graphs, tree graphs, flow charts, mind maps, or any relational/graph-structured data visualization with the G6 library.
Create data visualizations and plots
Publication-quality matplotlib/seaborn charts with opinionated aesthetics
Generate publication-quality academic diagrams, statistical plots, and presentation slides using PaperBanana multi-agent framework
Develop causal diagrams (DAGs) from social-science research questions and literature, then render publication-ready figures using Mermaid, R, or Python.
A set of general skills that are common across use-cases at Our World In Data, regardless of the type of project or programming language. Examples include instructions for how we manage python dependencies or how to use the duckdb cli for ad-hoc data work in a terminal.
Skills that are only useful for Our World In Data staff members because they require access to internal infrastructure or credentials. Includes access to internal datasette, database mirrors, analytics data stores, and creating OWID-style charts.
Skills for working with Our World In Data. Includes accessing published datasets directly via the owid-catalog Python library. Enable this plugin for efficient access to the data and metadata powering our charts as well as accessing our full catalog of data.
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