bama
BAMA: Build Any Mac App. Agent skills to research, clone, design, build, optimize, and test native macOS apps with Swift and SwiftUI.
翻译准备中
Agent Skills for Our World in Data
翻译准备中
技能Shell · PythonGitHub @owid自行安装运营者未确认
试用过了吗? 点一下就好,无需登录。
尚未检测到更新。GitHub 发布版本后会显示在这里。
个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权,自行管理介绍,无需管理员批准。
登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
安装型项目无需部署域名也可验证。个人仓库可通过 GitHub 登录验证,组织仓库可使用上方的仓库验证文件。
正在加载完整 README。 以下为已保存的摘录。
AI skill for Our World in Data
An agent skill for working with Our World in Data. It teaches your AI assistant to find our charts and articles, pull the numbers behind them, put a chart into a page or a slide, and credit whoever produced the data. It works with the Claude and ChatGPT apps, Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot and others.查看完整 README ↗An agent skill for working with Our World in Data. It teaches your AI assistant to find our charts and articles, pull the numbers behind them, put a chart into a page or a slide, and credit whoever produced the data. It works with the Claude and ChatGPT apps, Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot and others.
Our World in Data publishes thousands of charts and hundreds of articles on global problems: poverty, health, energy, climate, education, and more. This skill teaches assistants how to use that content properly: how to find the right chart, how to get the numbers behind it, what the data does and does not mean, and how to credit the people who collected it.
Once installed, you can ask your agent things like:
Most of the time you don't have to ask for it by name — your assistant reaches for it on its own when your question is about our charts or data.
The skill is a short set of notes your assistant reads when it needs them: how to
search our site, how to fetch the data and sources behind a chart, and how to put
a chart into a page or a slide. You can read them in
skills/owid/ if you're curious.
It runs no code of its own and needs no API key or account. Your assistant reads public pages and data files on ourworldindata.org, and nothing else.
Our World in Data's own work is free to reuse under the Creative Commons BY licence. Most of the data, though, comes from other producers and keeps whatever licence they set, so check before you republish — and a few charts cannot be downloaded at all. The skill instructs agents to name the original producer, so please keep the citations when you publish results.
Every request the skill makes identifies itself as coming from this skill, which is how we can see it being used and keep supporting it. That is why links it gives you end in utm_source=owid-skills; the FAQ explains.
The quickest way is to ask your AI assistant:
Install the Our World in Data skill hosted at https://github.com/owid/skills/
Claude Code and Codex can do it themselves; in the Claude and ChatGPT apps, your assistant can walk you through the current menus.
What each app needs:
| Your app | How |
|---|---|
| Claude app (paid plan) | In the plugin settings, add a marketplace from owid/skills, then install Our World in Data |
| ChatGPT app | In the plugin settings, add a marketplace from owid/skills, then install Our World in Data |
| Claude Code | /plugin marketplace add owid/skills, then /plugin install owid@owid-skills, then turn on auto-update for owid-skills under Marketplaces in /plugin |
| Codex | codex plugin marketplace add owid/skills, then codex plugin add owid@owid-skills |
| Anything else | npx skills add owid/skills, or copy the skills/owid/ folder into your agent's skills directory |
None of them needs an Our World in Data account or a GitHub account. Start a new chat afterwards: plugins only apply to conversations that begin after installing.
Check it worked. In a new chat, ask:
Use the Our World in Data skill to fetch the data behind this chart: https://ourworldindata.org/grapher/child-mortality — the complete time series for Uganda, and the source the chart relies on.
A working install returns the whole series for Uganda (about seventy yearly figures, starting in the 1950s) and names Gapminder and the UN Inter-agency Group for Child Mortality Estimation as the source, not "Our World in Data". An assistant without the skill will say so; one that has it but didn't fetch anything will summarise or invent the numbers. If that happens, see the FAQ.
Updating. There are no version numbers: we change the skill in place. Update it
where you installed it: reinstall it in the apps, run claude plugin update owid@owid-skills in Claude Code (or turn on auto-update for the owid-skills
marketplace in /plugin), codex plugin marketplace upgrade owid-skills in Codex,
or npx skills update for the skills CLI.
Creative Commons BY 4.0 — the same terms as the rest of Our World in Data's own work. Use it anywhere, change it, ship it inside your own project; just credit Our World in Data.