mx_macro_data

Name: mx_macro_data
Availability: InStock
Author: caoqiubozhangchenqin2

Retrieve macroeconomic data via natural language queries and output CSV files.

Updated Apr 12, 2026

Search Tags:#financial analysis #economic data #macro #macroeconomics #csv export

Ready to run

npx skills add https://github.com/caoqiubozhangchenqin2/qclaw --skill mx-macro-data-caoqiubozhangchenqin2

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mx_macro_data
Source: https://github.com/caoqiubozhangchenqin2/qclaw/tree/main/skills/mx-macro-data
Command: npx skills add https://github.com/caoqiubozhangchenqin2/qclaw --skill mx-macro-data-caoqiubozhangchenqin2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

It enables users to access detailed macroeconomic data through simple natural language queries, eliminating the need for manual data collection and processing.

Core Features & Use Cases

Data Retrieval: Fetches extensive macroeconomic indicators such as GDP, CPI, and employment figures from financial databases.
Versatile Querying: Supports relative times like "past three years" and regions like "China" or "US," simplifying complex data requests.
Use Case: A researcher wants recent inflation trends in Japan; they can query this tool to obtain CSV data on CPI rates over the last year.

Quick Start

Query "查询中国过去五年的货币供应" and receive CSV files with detailed macroeconomic figures for your analysis.

Frequently Asked Questions about mx_macro_data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I retrieve macroeconomic data like GDP and CPI for specific regions using natural language?▼

You retrieve macroeconomic data by querying natural language prompts specifying regions like China or US and relative times like past three years. The tool fetches indicators such as GDP, CPI, and employment figures through Eastmoney's API.

Can I export macroeconomic indicators to CSV for financial analysis?▼

Yes, you can export macroeconomic indicators to CSV format. The tool processes your natural language queries and outputs structured CSV datasets containing detailed financial figures for your analysis.

Does this tool support querying economic data for multiple countries like Japan and the US?▼

Yes, the tool supports querying economic data for multiple countries. You can specify regions like China, US, or Japan in your natural language query to obtain targeted macroeconomic indicators such as inflation trends or CPI rates.

What's the best way to get recent inflation trends in Japan without manual data collection?▼

The best way to get recent inflation trends is to query the tool with a natural language request for Japan's CPI rates over the last year. It eliminates manual collection by directly returning structured CSV datasets.

Do I need Python and httpx to run macroeconomic data queries?▼

Yes, you need Python and the httpx dependency to run macroeconomic data queries. The Skill relies on Python scripts interfacing with Eastmoney's API to retrieve and process the requested financial data into CSV format.

Can I specify relative timeframes like past five years when fetching macroeconomic data?▼

Yes, you can specify relative timeframes like past five years when fetching macroeconomic data. The tool supports versatile querying with relative time expressions to simplify complex data requests.