wangyitong a65adcc2e5 Initial commit: merged, deduplicated, and vetted skill collection

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>

2026-07-13 14:47:12 +08:00

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Flow D — Tushare 实时数据→报告

使用 Tushare 金融数据 API 获取 A 股实时数据，通过变换处理后生成投资分析报告。

前置条件

安装 tushare: pip install tushare
配置 Token（任选一种）:
- 环境变量: export TUSHARE_TOKEN=your_token_here
- .env 文件（ppt-st 目录下）: TUSHARE_TOKEN=your_token_here

Token 获取: 注册 https://tushare.pro 后在个人主页获取。

方式一: Job JSON + run_job.py

适合声明式编排，数据获取和渲染一步完成。

完整 Tushare Job JSON 示例

{
  "template": {"path": "aim/aim03.pptx"},
  "datasources": {
    "stock": {
      "type": "tushare",
      "api_name": "pro_bar",
      "ts_code": "600519.SH",
      "start_date": "20250101",
      "end_date": "20251231"
    },
    "index": {
      "type": "tushare",
      "api_name": "pro_bar",
      "ts_code": "000300.SH",
      "start_date": "20250101",
      "end_date": "20251231"
    }
  },
  "transforms": {
    "chart_data": {
      "from": ["stock", "index"],
      "ops": [
        {"type": "sort", "sort_by": ["trade_date"]},
        {"type": "compute", "expr": "close / close.iloc[0] - 1", "output_col": "累计收益率"}
      ]
    }
  },
  "slides": [
    {
      "id": "cover",
      "texts": [
        {"target": "标题", "value": "贵州茅台2025年度分析报告"},
        {"target": "日期", "value": "2025-12-31"}
      ]
    }
  ],
  "output": {"path": "output/tushare_report.pptx", "overwrite": true}
}

python scripts/run_job.py tushare_job.json

Tushare 数据源字段

字段	说明
`api_name`	`"pro_bar"`（股票日线）或 `"index_daily"`（指数日线）
`ts_code`	证券代码，如 `"600519.SH"`, `"000300.SH"`
`start_date`	起始日期 `"YYYYMMDD"`
`end_date`	结束日期 `"YYYYMMDD"`

返回的 DataFrame 已按 trade_date 升序排列，trade_date 为 datetime 类型。

常用字段: trade_date, open, high, low, close, vol, amount

方式二: gen_moutai_report.py 示例脚本

独立示例脚本，演示完整的 Tushare 数据获取 + 计算 + 报告生成流程:

python scripts/gen_moutai_report.py

该脚本:

从 Tushare 获取贵州茅台和沪深300的当年及5年数据
计算累计收益率、成交额等指标
生成 CSV 中间文件
通过 Flow A（模板替换）生成包含双轴图表的 PPT

输出目录: ppt-st/output/moutai_report/

定位说明: 此脚本是一个完整的端到端示例，展示了自定义数据处理 + PPT 生成的模式。对于新的报告需求，建议:

简单场景: 参考此脚本模式编写自定义脚本
声明式场景: 使用 Job JSON + run_job.py

常见问题

问题	解决方案
`Tushare token not configured`	检查 TUSHARE_TOKEN 环境变量或 .env 文件
API 调用频率限制	Tushare 有调用频率限制，适当添加延时
`pro_bar` 返回空数据	检查 ts_code 格式和日期范围是否有效
指数数据获取失败	使用 `api_name: "pro_bar"` + `asset: "I"` 替代 `index_daily`

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