a65adcc2e5
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>
72 lines
2.4 KiB
Markdown
72 lines
2.4 KiB
Markdown
## GDP数据
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----
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接口：cn_gdp
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描述：获取国民经济之GDP数据
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限量：单次最大10000，一次可以提取全部数据
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权限：用户积累600积分可以使用，具体请参阅[积分获取办法](https://tushare.pro/document/1?doc_id=13)
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<br>
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<br>
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**输入参数**
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名称 | 类型 | 必选 | 描述
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---- | ----- | ---- | ----
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q | str | N | 季度（2019Q1表示，2019年第一季度）
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start_q | str | N | 开始季度
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end_q | str | N | 结束季度
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fields | str | N | 指定输出字段（e.g. fields='quarter,gdp,gdp_yoy'）
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<br>
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<br>
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**输出参数**
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名称 | 类型 | 默认显示 | 描述
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--- | ---- | ---- | ----
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quarter | str | Y | 季度
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gdp | float | Y | GDP累计值（亿元）
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gdp_yoy | float | Y | 当季同比增速（%）
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pi | float | Y | 第一产业累计值（亿元）
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pi_yoy | float | Y | 第一产业同比增速（%）
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si | float | Y | 第二产业累计值（亿元）
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si_yoy | float | Y | 第二产业同比增速（%）
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ti | float | Y | 第三产业累计值（亿元）
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ti_yoy | float | Y | 第三产业同比增速（%）
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<br>
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<br>
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**接口调用**
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```python
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pro = ts.pro_api()
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df = pro.cn_gdp(start_q='2018Q1', end_q='2019Q3')
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#获取指定字段
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df = pro.cn_gdp(start_q='2018Q1', end_q='2019Q3', fields='quarter,gdp,gdp_yoy')
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```
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<br>
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**数据样例**
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quarter gdp gdp_yoy pi pi_yoy si si_yoy ti ti_yoy
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0 2019Q4 990865.1000 6.10 70466.7000 3.10 386165.3000 5.70 534233.1000 6.90
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1 2019Q3 712845.4000 6.20 43005.0000 2.90 276912.5000 5.60 392927.9000 7.00
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2 2019Q2 460636.7000 6.30 23207.0000 3.00 179122.1000 5.80 258307.5000 7.00
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3 2019Q1 218062.8000 6.40 8769.4000 2.70 81806.5000 6.10 127486.9000 7.00
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4 2018Q4 900309.5000 6.60 64734.0000 3.50 366000.9000 5.80 469574.6000 7.60
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.. ... ... ... ... ... ... ... ... ...
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147 1956Q4 1028.0000 15.00 443.9000 4.70 280.7000 34.50 303.4000 14.10
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148 1955Q4 910.0000 6.80 421.0000 7.90 222.2000 7.60 266.8000 4.60
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149 1954Q4 859.0000 4.20 392.0000 1.70 211.7000 15.70 255.3000 -0.60
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150 1953Q4 824.0000 15.60 378.0000 1.90 192.5000 35.80 253.5000 27.30
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151 1952Q4 679.0000 None 342.9000 None 141.8000 None 194.3000 None |