macro-briefing
Macroeconomic monitor. Supports UK, US, Euro area, and Australia. Pulls GDP, inflation, employment, wages, rates, trade, housing, and fiscal data. Each country follows its central bank's reporting structure. Produces a single clean briefing with a traffic-light assessment and user-selectable sub-components.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill macro-briefing --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.
**Only stop to ask the user when:** the country is ambiguous or specific indicators are requested that need clarification. **Never stop to ask about:** section ordering, table formatting, data source preferences (use the country's official sources), or output filename. <!-- preamble: update check --> Before starting, run this silently. If it outputs UPDATE_AVAILABLE, tell the user: "A new version
What does the macro-briefing skill do?
Macroeconomic monitor. Supports UK, US, Euro area, and Australia. Pulls GDP, inflation, employment, wages, rates, trade, housing, and fiscal data. Each country follows its central bank's reporting structure. Produces a single clean briefing with a traffic-light assessment and user-selectable sub-components.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill macro-briefing --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.