宏观经济分析工具集 - 基于AKShare的GDP/CPI/PMI/利率/汇率数据
Scanned 9/7/2026
Install to Claude Code
npx -y skills add modbender/skill-library-mcp --skill macro-analyst --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: macro-analyst
description: 宏观经济分析工具集 - 基于AKShare的GDP/CPI/PMI/利率/汇率数据
keywords:
- 宏观
- GDP
- CPI
- PMI
- 利率
- 汇率
---
# Macro Analyst — 宏观经济分析
## 数据获取
### 中国宏观
```bash
PYTHON=python3.12
SCRIPT=skills/akshare-finance/scripts/macro_data.py
# GDP (季度)
$PYTHON $SCRIPT gdp
# CPI (月度)
$PYTHON $SCRIPT cpi
# PMI (月度)
$PYTHON $SCRIPT pmi
# M2货币供应 (月度)
$PYTHON $SCRIPT m2
```
### 个股财报 (行业聚合分析用)
```bash
$PYTHON skills/akshare-finance/scripts/earnings.py report 600519
$PYTHON skills/akshare-finance/scripts/earnings.py earnings
$PYTHON skills/akshare-finance/scripts/earnings.py industry
```
### 全球市场
```bash
# 全球市场概览 (via quant.py)
$PYTHON workspace-trading/skills/trading-quant/scripts/quant.py global_overview
```
### 汇率
```python
# 使用 akshare 直接调用
import akshare as ak
ak.currency_boc_sina() # 中国银行汇率
```
## 分析框架
### 宏观日报流程
1. 获取 global_overview → 全球市场概况
2. 获取 GDP/CPI/PMI → 经济趋势判断
3. 检查 earnings → 季度业绩预告趋势
4. 综合分析 → 宏观展望
### 宏观周报流程
1. 本周全球市场回顾 (global_overview)
2. 宏观数据对比 (GDP/CPI/PMI 趋势)
3. 行业轮动分析 (industry)
4. 下周展望与风险提示
## 与其他 Agent 的协作
- 个股深度分析 → 交给 trading
- AI 行业趋势 → 交给 ainews
- Macro 关注: 政策影响、经济周期、行业估值
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