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中国宏观经济分析/经济数据解读。当用户说"宏观分析"、"经济数据"、"GDP"、"CPI"、"PMI"、"社融"、"M2"、"降准降息"、"宏观经济怎么看"、"经济形势"、"货币政策"、"财政政策"时触发。基于 akshare 获取中国核心宏观经济指标，结合 web 搜索获取最新政策动向和市场解读，生成结构化宏观分析报告。支持机构宏观研究风格（formal）和个人宏观笔记风格（brief）。不适用于个股分析或行业研究。
Passed 11 of 18 test cases with the skill, and 12 of 18 without it.
and 1 more in the full report
4 fixed11 passed either way5 still failing5 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
在撰写宏观数据表格时，对于海关总署公布的进出口贸易顺差数据和央行公布的 LPR 利率数据，在数据来源标注上有什么规范要求？
| Checked | Without skill | With skill |
|---|---|---|
| The response requires attributing macro metrics to their official issuing authority. | Passed | Passed |
| The response requires specifying the release date for each reported dataset. | Missed | Passed |
The instructions your model reads when the skill loads.
# akshare 宏观数据接口（cn-stock-data 不直接覆盖宏观数据，需通过 akshare 获取）
python -c "
import akshare as ak
# GDP
df = ak.macro_china_gdp()
# CPI
df = ak.macro_china_cpi_monthly()
# PPI
df = ak.macro_china_ppi_monthly()
# PMI（制造业）
df = ak.macro_china_pmi_monthly()
# 社会融资规模
df = ak.macro_china_shrzgm()
# M2 货币供应
df = ak.macro_china_money_supply()
# LPR
df = ak.macro_china_lpr()
# 进出口
df = ak.macro_china_trade_balance()
print(df.to_json(orient='records', force_ascii=False))
"
补充 web 搜索：央行/国务院/统计局最新发布、券商宏观研报、市场解读。
Step 1: 确定分析范围 根据用户需求：
Step 2: 数据获取 通过 akshare 获取核心宏观指标（近 12-24 个月）：
经济增长：
test cases passed, vs 12 / 18 without
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