---
title: "owid"
description: "Skills for working with Our World in Data: search published charts, fetch chart data and metadata via the web API, join OWID data with external sources (e.g. per-capita metrics), and access the full data catalog with the"
canonical: https://agentpluginsdirectory.com/plugins/owid
last-updated: 2026-09-25
---

# owid
Skills for working with Our World in Data: search published charts, fetch chart data and metadata via the web API, join OWID data with external sources (e.g. per-capita metrics), and access the full data catalog with the owid-catalog Python library.
- Slug: owid
- Publisher: Our World in Data
- Repository: https://github.com/owid/skills
- Manifest: plugin.json
- License: Apache-2.0
- Category (editorial): other
- Skills: 4 (fetch-chart-data, joining-data, owid-catalog, search-charts)
- MCP servers: 0
- Stars: 4
- Repository created: 2026-01-17
- Repository last pushed: 2026-09-24
- Publisher type: Organization
- Listing: https://agentpluginsdirectory.com/plugins/owid
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

## What owid does, in the publisher's words

Agent skills for working with Our World in Data. Teach your AI assistant, Claude Code, Codex, the ChatGPT and Claude apps, Gemini CLI, Cursor, GitHub Copilot, and others, to search our charts, download the data behind them, and analyze it correctly.

Our World in Data publishes thousands of charts and datasets on global problems: poverty, health, energy, climate, education, and more. These skills give agents the knowledge to use that data well, the right APIs, the right query parameters, and the caveats that matter (country harmonization, citations, metadata).

> Status: early and experimental. Interfaces may change. Feedback and issues are welcome!

- "Get life expectancy data for the US and UK since 1950 and plot the trend."
- "Find OWID charts about renewable energy adoption."

From the project README, punctuation lightly normalized. Full text: https://raw.githubusercontent.com/owid/skills/HEAD/README.md

## Skills

- fetch-chart-data: This 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 when you need to fetch data and have already identified t…
- joining-data: 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…
- owid-catalog: Access Our World In Data from Python with the owid-catalog library: load chart data, catalog tables or individual indicators as pandas DataFrames that carry their own units, descriptions, sources and citations. Use this skill whenever the work happens in Python or a notebook (pandas, a uv script, m…
- search-charts: Search Our World In Data's published charts by keyword to find the chart you need, across topics like population, energy and electricity, CO2 and climate, poverty and GDP, health and causes of death, education, democracy, violence and war. Use this whenever someone wants to find, browse, link or em…

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.