China Macroeconomic Deep Analysis

Problem

Writing China macro monthly or quarterly reports often becomes a manual loop: pulling GDP, CPI, PMI, social financing, and policy meeting data, then formatting charts, footnotes, and disclaimers. The output is easy to drift from a consistent research-note structure, and data citations are easy to miss.

How It Works

This skill turns the workflow into a repeatable pipeline:
- Data retrieval: calls Gildata MCP through mcporter, prioritizing policy meetings, macro industry data, and official speeches, and uses parallel requests where possible.
- Charting: generates PNG charts such as the CPI/PPI spread, M1-M2 spread, PMI trend, and social financing structure.
- Report writing: follows references/report-template.md to produce core takeaways, real-economy analysis, inflation, credit, policy, risk notes, and data sources.
- Output: emits Markdown and HTML by default, with ECharts-powered interactive charts in HTML, and can add PDF on explicit request.

Boundaries: it does not provide investment advice; every numeric claim must be sourced and footnoted; first-time setup requires mcporter, JY_API_KEY, and MCP service configuration; charting assumes a Python environment with matplotlib.