FRED Macro Data
Fetch US economic data like CPI, GDP, unemployment, and Fed rates from the St. Louis Fed.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/fred-innei/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.
What this skill does
This skill fetches US economic data from the St. Louis Federal Reserve's FRED database. It covers major macroeconomic indicators including inflation (CPI, PCE, PPI), real output (GDP), employment (unemployment, nonfarm payroll), interest rates (Fed funds, Treasury yields), money supply (M1, M2), currency strength (DXY), market volatility (VIX), commodities (oil, gold), and consumer activity (sentiment, housing starts, retail sales). The skill automatically resolves user queries to the correct FRED series ID and returns time-series observations with metadata including units, frequency, and last update date.
What it does
- Translates natural-language queries into FRED series IDs using a curated alias map or full-text search
- Fetches historical observations for any FRED series with flexible date ranges and ordering
- Returns data with complete metadata: series title, units, frequency, seasonal adjustment status, and last update timestamp
- Supports common economic indicators: CPI, core CPI, PCE, PPI, GDP, unemployment (U-3, U-6, nonfarm), Fed funds rate, Treasury yields (2Y, 10Y), yield curve spreads, M2, DXY, VIX, breakeven inflation expectations, and commodity prices
- Caches series metadata (24-hour TTL) and observations (1-hour TTL) for performance; bypasses cache with
--freshflag - Handles weekend and holiday gaps in daily series by normalizing missing values
How to use it
Describe the economic data you want—such as "latest CPI," "10-year Treasury yield," or "unemployment rate"—and the skill maps your phrasing to the underlying FRED series ID. It then fetches the requested observations and returns them as JSON with historical values, dates, and series metadata. If your phrase isn't in the built-in alias map, the skill searches FRED's catalog automatically. You can specify a date range, limit the number of observations, or request data in ascending order; by default it returns the most recent 60 observations in descending order.
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