china-macro-analyst

Analyze China macro datasets into a four-section narrative with evidence citations.

50|17|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/shaoxing-xie/openclaw-data-china-stock --skill china-macro-analyst-shaoxing-xie
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: china-macro-analyst
Source: https://github.com/shaoxing-xie/openclaw-data-china-stock/tree/main/skills/china-macro-analyst
Command: npx skills add https://github.com/shaoxing-xie/openclaw-data-china-stock --skill china-macro-analyst-shaoxing-xie

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Macro data often lacks structured, auditable, and repeatable interpretations. This skill delivers a methodical four-section macro analysis from raw macro outputs to support decision-making and risk assessment.

Core Features & Use Cases

  • Structured four-section narration: macro state, marginal changes, asset implication, and risk/counter-evidence.
  • Tool integration: uses tool_fetch_macro_data, tool_fetch_macro_snapshot to assemble contextual context and core datasets.
  • Policy-grounded context: references policy sources and regulatory data to ground interpretations in public information.

Quick Start

Call tool_fetch_macro_snapshot, then tool_fetch_macro_data, and generate the four-section macro analysis.

Frequently Asked Questions about china-macro-analyst

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

FAQPage Schema
How do I structure raw China macro data into an auditable narrative?

You structure China macro data by applying a four-section analysis covering macro state, marginal changes, asset implications, and risk counter-evidence. This methodical approach transforms raw macro outputs into an auditable interpretation grounded in policy sources and regulatory data.

How does macro analysis handle policy interpretation and risk assessment?

Macro analysis handles policy interpretation by referencing public policy sources and regulatory data to ground interpretations. It supports risk assessment by producing a dedicated section for risk counter-evidence and applying configurable thresholds from macro_config.yaml.

What is the best way to generate a structured macro report from market context?

The best way to generate a structured macro report is to fetch context and core datasets using tool_fetch_macro_snapshot and tool_fetch_macro_data. These tools assemble the market context needed to satisfy the four-section output contract with evidence citations.

Can I use configurable thresholds for China macro datasets?

Yes, you can use configurable thresholds for China macro datasets by defining them in config/macro_config.yaml. This allows you to customize the risk assessment parameters applied during the structured four-section analysis.

Does this macro analysis approach provide evidence citations for decision-making?

Yes, this macro analysis approach provides evidence citations by satisfying a strict four-section output contract. It grounds interpretations of China macro datasets and policy texts in public information to support auditable reporting and decision-making.