Astock utils

Skill ZICXR/A-Stock-Skills/skills/01-infra/astock-utils

A 股通用工具函数库。当 Claude 需要处理股票代码转换 (如 "sh600000" → "600000")、判断市场归属 (沪/深/北)、解析交易日历、计算技术指标 (MA/MACD/KDJ/RSI/BOLL)、格式化数字 (成交量/金额/百分比) 时,应使用此 Skill。这是其他 Skill 的基础工具库。From its SKILL.md

Install

npx -y skills add ZICXR/A-Stock-Skills --skill astock-utils

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2 things to look at

17 stars17 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
runs commandsInstructs the agent to run 4 commands, including `python main.py normalize-code sh600000` and 3 more.

SKILL.md

1.9 KB, 573 tokens by cl100k_base, as published. Nobody here has run it

A 股通用工具 Skill

何时使用

处理股票代码格式转换
判断股票所属市场
计算技术指标
格式化输出
解析交易日

提供能力

代码处理

normalize_code(code) - 规范化代码 (统一 6 位)
get_market(code) - 判断市场 (sh/sz/bj)
is_cyb(code) - 是否创业板
is_kcb(code) - 是否科创板
is_bj(code) - 是否北交所
is_st(name) - 是否 ST 股

日期工具

today_str() - 今天
parse_date(s) - 解析日期
last_n_trade_days(n) - 最近 N 个交易日
date_str(dt) - 日期转字符串

技术指标 (输入: DataFrame, 输出: 增加列后的 DataFrame)

add_ma(df, [5,10,20,60]) - 均线
add_macd(df) - MACD
add_kdj(df) - KDJ
add_rsi(df) - RSI
add_boll(df) - 布林带
add_all_indicators(df) - 一次性添加所有

格式化

fmt_volume(v) - 成交量 (1.23亿)
fmt_money(v) - 金额
fmt_pct(v) - 百分比

使用方式

# 命令行
python main.py normalize-code sh600000
python main.py market 300750
python main.py is-cyb 300750
python main.py trade-days 5

Python API

from skills.01-infra.astock-utils.main import (
    normalize_code, get_market, add_all_indicators,
    fmt_volume, fmt_pct
)

code = normalize_code("sh600000")  # "600000"
market = get_market("300750")  # "sz"
df_with_indicators = add_all_indicators(df)
print(fmt_volume(123456789))  # "1.23亿"

依赖

pandas>=1.5.0
numpy>=1.22.0
akshare>=1.12.0  # 交易日历

What ships with it: 2 files

7.5 KB alongside SKILL.md, 1 of them executable

main.pyruns7.5 KB
requirements.txt44 B