Economic china retail sales monthly

Skill FTShare-Lab/FTShare-skills/ftshare-market-data/sub-skills/economic-china-retail-sales-monthly

Get China retail sales of consumer goods monthly data (社会消费品零售总额月度). Use when user asks about 社会消费品零售总额, 零售总额, 消费零售, 中国消费, China retail sales, 社零.From its SKILL.md

Install

npx -y skills add FTShare-Lab/FTShare-skills --skill economic-china-retail-sales-monthly

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SKILL.md

2.1 KB, 633 tokens by cl100k_base, as published. Nobody here has run it

中国经济 - 社会消费品零售总额（月度）

1. 接口描述

项目	说明
接口名称	社会消费品零售总额（月度汇总计算结果）
外部接口	GET /api/v1/market/data/economic/china-retail-sales
请求方式	GET
适用场景	获取中国社会消费品零售总额月度数据，含当月值、同比、累计及累计同比等

2. 请求参数

说明：该接口无需请求参数。

参数名	类型	是否必填	描述	取值示例	备注
-	-	-	无需参数	-	-

3. 用法

直接执行：

python script/handler.py

脚本输出 JSON 数组，按时间倒序，每项含 month（如 2025年03月份）、current（当月值）、yoy（同比 %）、cumulative（累计值）、cumulative_yoy（累计同比 %）、unit（亿元）、currency（CNY），以表格展示给用户。

4. 响应说明

返回值为社会消费品零售总额月度计算结果列表，按时间倒序。

RetailSalesComputed 结构

字段名	类型	是否可为空	说明	单位
month	String	否	月份，格式如 2025年03月份	-
current	float	是	当月值	见 unit
yoy	float	是	同比增长	%
cumulative	float	是	累计值	见 unit
cumulative_yoy	float	是	累计同比增长	%
unit	String	否	货币单位	-
currency	String	否	货币种类	-

5. 请求示例

GET /api/v1/market/data/economic/china-retail-sales

6. 注意事项

返回按月份汇总，格式如「2025年03月份」，列表已按时间倒序，最新月份在前。
金额单位见 unit（通常为亿元），同比单位为 %，各数值字段可为 null。

What ships with it: 1 file

1.2 KB alongside SKILL.md, 1 of them executable

scripts/

handler.pyruns1.2 KB

Gives 0 of the 12 instructions most sales audience skills give in 633 tokens

Counted across 401 of the 401 authors here whose files we hold, read 2026-08-07

Read product marketing context before asking questionsin 21 of 401, across 11 files
Acknowledge competitor strengths honestlyin 18 of 401, across 7 files
Start every page with a summaryin 15 of 401, across 4 files
Use a single, low-friction call to actionin 15 of 401, across 7 files
Create a single source of truth for each competitorin 14 of 401, across 3 files
Make each follow-up email add new valuein 11 of 401, across 5 files
Cut any sentence that does not drive a replyin 10 of 401, across 4 files
Tie personalization directly to the problemin 10 of 401, across 4 files
Write paragraph comparisons for each dimensionin 9 of 401, across 3 files
Link between related competitor pagesin 9 of 401, across 3 files
Keep subject lines short and lowercasein 9 of 401, across 3 files
Define ideal customer profile from top customersin 9 of 401, across 3 files

Said here and by no other author read

run the handler script
display the output as a table

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.