macro-monitor

Monitor macro-economic indicators and generate formatted reports with Python.

1|2|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/bluegitter/QClaw --skill macro-monitor-bluegitter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: macro-monitor
Source: https://github.com/bluegitter/QClaw/tree/main/resources/openclaw/config/skills/macro-monitor
Command: npx skills add https://github.com/bluegitter/QClaw --skill macro-monitor-bluegitter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, matplotlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

It provides investors and analysts with a fast way to monitor macro-economic data such as GDP, CPI, interest rates, and to interpret central bank policies, reducing manual data gathering and analysis effort.

Core Features & Use Cases

  • Data Monitoring: Retrieve the latest GDP, CPI, PMI, and other macro indicators via built‑in scripts.
  • Policy Interpretation: Analyze central bank policy changes and their impact on markets.
  • Impact Analysis: Evaluate how global monetary policy shifts affect domestic equities. Typical use case: an analyst asks for the latest CPI and policy impact on A‑shares, and receives a formatted report.

Quick Start

Ask the macro‑monitor skill to generate a CPI report for the last quarter.

Frequently Asked Questions about macro-monitor

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

FAQPage Schema
How do I monitor macro-economic indicators like GDP and CPI automatically?

To monitor macro-economic indicators like GDP and CPI automatically, you can use a Python-based skill that retrieves data via requests and generates formatted reports using pandas. It reduces manual data gathering by fetching the latest figures for you.

How do I analyze the impact of central bank policy changes on domestic equities?

You can analyze the impact of central bank policy changes on domestic equities by using an impact analysis tool that interprets monetary policy shifts. It evaluates how global policy changes affect domestic markets and delivers a formatted report.

Do I need Python and pandas to retrieve macro-economic data for reports?

Yes, you need Python with pandas, requests, and matplotlib to retrieve macro-economic data and generate reports. These dependencies are required to fetch the latest GDP and CPI figures and produce formatted outputs.

What is the best way to generate a quarterly CPI report for A-shares analysis?

The best way to generate a quarterly CPI report for A-shares analysis is to request a CPI report for the last quarter from a macro monitor. It retrieves the data and provides policy interpretation regarding market impact.

Can I visualize PMI and interest rate data using matplotlib for policy interpretation?

Yes, you can visualize PMI and interest rate data using matplotlib for policy interpretation. The skill uses matplotlib to generate visual outputs alongside formatted reports to help analysts evaluate central bank policies.