By owid
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.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub owid/owid-claude-plugins --plugin owid-dataA 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.
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.
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.
National Data Platform (NDP) MCP server for searching and discovering datasets across multiple CKAN instances
Skills and agents for anthropological research across the full research lifecycle — from question formulation through publication and career advancement
Edward Tufte's Visual Display of Quantitative Information — two executable skills (tufte-critique, tufte-chart) backed by a VDQI-sourced principles reference. Critiques graphics against a nine-criterion VDQI rubric 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.
Build systematic literature databases using OpenAlex API. Phased workflow for search, screening, snowballing, annotation, and synthesis with structured user interaction.
Data & analytics skills: Metrics Framework, SQL Query Explainer, Dashboard Brief, Cohort Analysis, Data Pipeline Spec, Chart Data Extractor, A/B Test Readout, Metric Tree Builder, Data Quality Audit. Build North Star metric trees, explain and optimise SQL, spec dashboards, read out A/B test results with significance and guardrails, and audit datasets for quality before you trust them.
📊 Data-AI Analyst — Data-AI Analyst + Business Intelligence Specialist