Sources: extracted from two upstream archives (skill-repo, skills-main),
merged with the following policy:
- 15 broken symlinks (pointing to /Users/jameslee/.cc-switch/skills or
../../.agents/skills on a foreign machine) discarded
- 3 real name collisions with identical content (ai-pair, ifind-http-api,
zhipu-websearch) kept as one copy
- Functional overlaps deduped keeping the strongest variant:
- docx family: kept docx (official, full toolchain) + docx-cn
(GB/T 9704 Chinese official-document constants),
dropped docx_writer (no scripts, name collided with docx)
- humanizer family: kept humanizer-zh (6 zh reference docs),
dropped humanizer (en, redundant for CN workflow)
- Skills that only ran in a foreign environment removed:
ablemind-ops, app-publish, hlb-design-system, openclaw-adj-skill,
claude-driver
- alphapai excluded from this public repo because its SKILL.md hard-coded
live credentials
Result: 25 skills, 572 files, ~7.5 MB.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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A股日线行情
接口:daily,可以通过数据工具调试和查看数据 数据说明:交易日每天15点~16点之间入库。本接口是未复权行情,停牌期间不提供数据 调取说明:基础积分每分钟内可调取500次,每次6000条数据,一次请求相当于提取一个股票23年历史 描述:获取股票行情数据,或通过通用行情接口获取数据,包含了前后复权数据
输入参数
| 名称 | 类型 | 必选 | 描述 |
|---|---|---|---|
| ts_code | str | N | 股票代码(支持多个股票同时提取,逗号分隔) |
| trade_date | str | N | 交易日期(YYYYMMDD) |
| start_date | str | N | 开始日期(YYYYMMDD) |
| end_date | str | N | 结束日期(YYYYMMDD) |
注:日期都填YYYYMMDD格式,比如20181010
输出参数
| 名称 | 类型 | 描述 |
|---|---|---|
| ts_code | str | 股票代码 |
| trade_date | str | 交易日期 |
| open | float | 开盘价 |
| high | float | 最高价 |
| low | float | 最低价 |
| close | float | 收盘价 |
| pre_close | float | 昨收价【除权价】 |
| change | float | 涨跌额 |
| pct_chg | float | 涨跌幅 【基于除权后的昨收计算的涨跌幅:(今收-除权昨收)/除权昨收 】 |
| vol | float | 成交量 (手) |
| amount | float | 成交额 (千元) |
接口示例
pro = ts.pro_api()
df = pro.daily(ts_code='000001.SZ', start_date='20180701', end_date='20180718')
#多个股票
df = pro.daily(ts_code='000001.SZ,600000.SH', start_date='20180701', end_date='20180718')
或者
df = pro.query('daily', ts_code='000001.SZ', start_date='20180701', end_date='20180718')
也可以通过日期取历史某一天的全部历史
df = pro.daily(trade_date='20180810')
数据样例
ts_code trade_date open high low close pre_close change pct_chg vol amount
0 000001.SZ 20180718 8.75 8.85 8.69 8.70 8.72 -0.02 -0.23 525152.77 460697.377
1 000001.SZ 20180717 8.74 8.75 8.66 8.72 8.73 -0.01 -0.11 375356.33 326396.994
2 000001.SZ 20180716 8.85 8.90 8.69 8.73 8.88 -0.15 -1.69 689845.58 603427.713
3 000001.SZ 20180713 8.92 8.94 8.82 8.88 8.88 0.00 0.00 603378.21 535401.175
4 000001.SZ 20180712 8.60 8.97 8.58 8.88 8.64 0.24 2.78 1140492.31 1008658.828
5 000001.SZ 20180711 8.76 8.83 8.68 8.78 8.98 -0.20 -2.23 851296.70 744765.824
6 000001.SZ 20180710 9.02 9.02 8.89 8.98 9.03 -0.05 -0.55 896862.02 803038.965
7 000001.SZ 20180709 8.69 9.03 8.68 9.03 8.66 0.37 4.27 1409954.60 1255007.609
8 000001.SZ 20180706 8.61 8.78 8.45 8.66 8.60 0.06 0.70 988282.69 852071.526
9 000001.SZ 20180705 8.62 8.73 8.55 8.60 8.61 -0.01 -0.12 835768.77 722169.579