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Federal Reserve Economic Data (FRED) API client. 800,000+ US and international economic time series: GDP, inflation, unemployment, interest rates, industrial production. Direct data access for macro research.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/mkurman/zorai --skill fredapi命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Use when provisioning Prime Intellect GPU compute, managing pods/disks/sandboxes, running hosted RL training via prime lab, installing or publishing RL environments, or exposing local services via Prime Tunnel. Covers the `prime` CLI (PyPI: prime) for all Prime Intellect platform operations.
Shared Python package for Science Skills, currently containing http_client -- a unified HTTP client with rate limiting, retries, and exponential backoff. Not a standalone agent skill. Do not invoke directly.
Retrieve and analyze AlphaFold predicted structures for a protein. Use when the user provides a specific UniProt Accession ID and wants structural confidence metrics (pLDDT), domain boundary analysis, or disorder assessment. Do not use if the user only has a protein name, gene name, or amino acid sequence — ask for a UniProt ID first.
基于 SOC 职业分类
正在显示 SKILL.md
| name | fredapi |
| description | Federal Reserve Economic Data (FRED) API client. 800,000+ US and international economic time series: GDP, inflation, unemployment, interest rates, industrial production. Direct data access for macro research. |
| tags | ["fred","economic-data","macro-economics","federal-reserve","time-series","api","zorai"] |
Fred API provides access to Federal Reserve Economic Data (FRED) — 800,000+ US and international economic time series. Use it for GDP, unemployment, inflation, interest rates, industrial production, and financial market data.
uv pip install fredapi
from fredapi import Fred
fred = Fred(api_key="YOUR_API_KEY") # get free key from research.stlouisfed.org
# Get GDP data (series ID: GDP)
gdp = fred.get_series("GDP")
print(gdp.tail())
# Get unemployment rate
unemp = fred.get_series("UNRATE")
print(unemp.tail())
# Search for series
results = fred.search("consumer price index", limit=5)
print(results[["id", "title", "observation_start", "observation_end"]])
# Get series info
info = fred.get_series_info("CPIAUCSL") # CPI Urban Consumers
print(info)
# Get multiple series at once
cpi = fred.get_series("CPIAUCSL")
fed_funds = fred.get_series("FEDFUNDS")
ten_year = fred.get_series("DGS10")
import pandas as pd
combined = pd.DataFrame({"CPI": cpi, "FedFunds": fed_funds, "10Y": ten_year})