00 start here

Skill ZICXR/A-Stock-Skills/skills/00-start-here

📈 Claude Agent Skills for A股分析 | 29个即插即用 Skills 覆盖数据采集/大盘分析/资金流向/涨停追踪/技术面/基本面/估值/财报/多因子/回测/风控/智能报告 | 含自选股监控 | akshare+tushare+东财 | Claude Code 首选搭档

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npx -y skills add ZICXR/A-Stock-Skills --skill 00-start-here

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30 秒上手指南。A-Stock-Skills 入门必读,5 个实战场景覆盖 90% 的使用需求。当用户问"我该用哪个 skill"、"怎么开始"、"有什么例子" 时,Claude 应优先激活此 Skill。

SKILL.md

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🚀 start-here: 30 秒上手

A-Stock-Skills 只有 10 个 Skill

#	Skill	解决什么问题
1	astock-data-source	拿实时行情 / K 线 (多源 fallback)
2	astock-cache	K 线 parquet 缓存 (5 秒 vs 30 分钟)
3	astock-utils	代码转换 / 交易日历 / 工具函数
4	watchlist-monitor	监控自选股 + 涨跌幅告警
5	screener	全市场筛选 (PE / 涨幅 / MACD 等)
6	stock-technical-analysis	MA / MACD / KDJ / RSI / BOLL
7	report	每日复盘 + 个股研报
8	alerter	钉钉 / 微信 / 飞书推送
9	trade-journal	🆕 AI 建议 vs 实盘复盘
10	start-here	🆕 本文档

🎯 5 个真实场景

场景 1: 拿一只股票的行情

python skills/01-infra/astock-data-source/main.py get-realtime --code 601991

场景 2: 拿 60 日 K 线 + 算 MACD

from skills.Stock_Analysis.stock_technical_analysis.main import calc_macd
from skills.Stock_Infrastructure.astock_data_source.main import get_kline

df = get_kline("601991", days=60)
macd = calc_macd(df)
print(macd.tail())

场景 3: 全市场筛选 PE<20 + 涨幅>5%

python skills/05-quant/screener/main.py screen --pe-max 20 --pct-change-min 5

场景 4: 监控自选股

# 1. 生成配置模板
python skills/02-data-collection/watchlist-monitor/main.py init

# 2. 编辑 watchlist.yaml
# 3. 启动监控
python skills/02-data-collection/watchlist-monitor/main.py monitor

场景 5: 复盘 AI 准不准

# 1. 记录今天的 AI 建议
python skills/02-data-collection/trade-journal/main.py record --code 601991 --signal "MACD金叉" --target_price 3.50

# 2. 30 天后比对
python skills/02-data-collection/trade-journal/main.py review

⚠️ 3 件必读

数据源问题: 住宅 IP 跑东财会被封, astock-data-source v2.0 已自动 fallback
缓存很重要: 第一次跑慢, 第二次快 100 倍 (用 astock-cache)
AI 不可信, 除非复盘: 用 trade-journal 记录, 30 天后看胜率

🛡️ 免责声明

本项目所有数据来源于公开市场数据, 仅供学习研究使用, 不构成任何投资建议。投资有风险, 入市需谨慎。