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refactor: move bundled skills tree to repo root skills/

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- Relocate runtime/skills -> skills/; runtime_skills_root() prefers oclaw/skills
  with fallback to legacy runtime/skills for unmigrated trees.
- session-bootstrap hook handler resolves repo root via PROJECT_ROOT.
- Update architecture/migration docs and in-tree skill references.

Co-authored-by: Cursor <cursoragent@cursor.com>
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oliver 2026-05-10 11:35:57 +08:00
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skills/tushare-finance/reference/接口文档/国内生产总值(GDP).md Normal file
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# 国内生产总值（GDP）
**文档ID**: 227
**原始链接**: https://tushare.pro/document/2?doc_id=227
---
## GDP数据
接口：cn_gdp描述：获取国民经济之GDP数据限量：单次最大10000，一次可以提取全部数据权限：用户积累600积分可以使用，具体请参阅积分获取办法
输入参数
<table>
<thead>
<tr>
<th>名称</th>
<th>类型</th>
<th>必选</th>
<th>描述</th>
</tr>
</thead>
<tbody><tr>
<td>q</td>
<td>str</td>
<td>N</td>
<td>季度（2019Q1表示，2019年第一季度）</td>
</tr>
<tr>
<td>start_q</td>
<td>str</td>
<td>N</td>
<td>开始季度</td>
</tr>
<tr>
<td>end_q</td>
<td>str</td>
<td>N</td>
<td>结束季度</td>
</tr>
<tr>
<td>fields</td>
<td>str</td>
<td>N</td>
<td>指定输出字段（e.g. fields='quarter,gdp,gdp_yoy'）</td>
</tr>
</tbody></table>
输出参数
<table>
<thead>
<tr>
<th>名称</th>
<th>类型</th>
<th>默认显示</th>
<th>描述</th>
</tr>
</thead>
<tbody><tr>
<td>quarter</td>
<td>str</td>
<td>Y</td>
<td>季度</td>
</tr>
<tr>
<td>gdp</td>
<td>float</td>
<td>Y</td>
<td>GDP累计值（亿元）</td>
</tr>
<tr>
<td>gdp_yoy</td>
<td>float</td>
<td>Y</td>
<td>当季同比增速（%）</td>
</tr>
<tr>
<td>pi</td>
<td>float</td>
<td>Y</td>
<td>第一产业累计值（亿元）</td>
</tr>
<tr>
<td>pi_yoy</td>
<td>float</td>
<td>Y</td>
<td>第一产业同比增速（%）</td>
</tr>
<tr>
<td>si</td>
<td>float</td>
<td>Y</td>
<td>第二产业累计值（亿元）</td>
</tr>
<tr>
<td>si_yoy</td>
<td>float</td>
<td>Y</td>
<td>第二产业同比增速（%）</td>
</tr>
<tr>
<td>ti</td>
<td>float</td>
<td>Y</td>
<td>第三产业累计值（亿元）</td>
</tr>
<tr>
<td>ti_yoy</td>
<td>float</td>
<td>Y</td>
<td>第三产业同比增速（%）</td>
</tr>
</tbody></table>
接口调用
```
pro = ts.pro_api()
df = pro.cn_gdp(start_q='2018Q1', end_q='2019Q3')
#获取指定字段
df = pro.cn_gdp(start_q='2018Q1', end_q='2019Q3', fields='quarter,gdp,gdp_yoy')
```
数据样例
```
quarter gdp gdp_yoy pi pi_yoy si si_yoy ti ti_yoy
0 2019Q4 990865.1000 6.10 70466.7000 3.10 386165.3000 5.70 534233.1000 6.90
1 2019Q3 712845.4000 6.20 43005.0000 2.90 276912.5000 5.60 392927.9000 7.00
2 2019Q2 460636.7000 6.30 23207.0000 3.00 179122.1000 5.80 258307.5000 7.00
3 2019Q1 218062.8000 6.40 8769.4000 2.70 81806.5000 6.10 127486.9000 7.00
4 2018Q4 900309.5000 6.60 64734.0000 3.50 366000.9000 5.80 469574.6000 7.60
.. ... ... ... ... ... ... ... ... ...
147 1956Q4 1028.0000 15.00 443.9000 4.70 280.7000 34.50 303.4000 14.10
148 1955Q4 910.0000 6.80 421.0000 7.90 222.2000 7.60 266.8000 4.60
149 1954Q4 859.0000 4.20 392.0000 1.70 211.7000 15.70 255.3000 -0.60
150 1953Q4 824.0000 15.60 378.0000 1.90 192.5000 35.80 253.5000 27.30
151 1952Q4 679.0000 None 342.9000 None 141.8000 None 194.3000 None
```