Agent skill · Data & Analytics

imf-data-api-guide

Retrieve IMF economic indicators, exchange rates, and country data

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill imf-data-api-guide --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/43-wentorai-research-plugins/skills/domains/economics/imf-data-api-guide/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# IMF Data API Guide ## Overview The International Monetary Fund (IMF) provides a free JSON-based REST API for accessing its extensive collection of macroeconomic and financial datasets. The API covers data from virtually every country and territory, spanning indicators such as GDP, inflation, trade balances, exchange rates, government finance statistics, and balance of payments. For economics res

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About this skill
What does the imf-data-api-guide skill do?

Retrieve IMF economic indicators, exchange rates, and country data

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill imf-data-api-guide --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.

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