api-data-fetcher
Fetch economic data from FRED, World Bank, and other APIs
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill api-data-fetcher --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# API Data Fetcher ## Purpose This skill helps economists fetch data from major economic data APIs including FRED (Federal Reserve Economic Data), World Bank, IMF, BLS, and OECD. It generates clean, documented Python code with proper error handling. ## When to Use - Downloading macroeconomic indicators - Building custom datasets from multiple sources - Automating data updates for ongoing projects
What does the api-data-fetcher skill do?
Fetch economic data from FRED, World Bank, and other APIs
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill api-data-fetcher --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.