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.