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>
1.8 KiB
1.8 KiB
Flow C — 解析→编辑→重建
适用于微调已有 PPT：将 PPT 解析为 JSON 中间格式，编辑 JSON，再重建为 PPT。
端到端流程
Step 1: 解析 PPT 为 JSON
python scripts/parse_ppt.py aim/aim01.pptx /tmp/parsed.json
不指定输出文件则输出到 stdout:
python scripts/parse_ppt.py aim/aim01.pptx > /tmp/parsed.json
Step 2: 编辑 JSON
JSON 中间格式包含每张幻灯片的所有形状信息。
{
"slides": [
{
"slide_index": 0,
"shapes": [
{
"shape_id": 2,
"shape_type": "TEXT_BOX",
"text": "原始文本",
"left": 914400,
"top": 365125,
"width": 8229600,
"height": 457200
}
]
}
]
}
Step 3: 重建 PPT
python scripts/rebuild_ppt.py /tmp/parsed.json /tmp/rebuilt.pptx
JSON 中间格式结构
| 层级 | 字段 | 说明 |
|---|---|---|
| root | slides[] |
幻灯片数组 |
| slide | slide_index |
页码（0-based） |
| slide | shapes[] |
形状数组 |
| shape | shape_id |
形状 ID |
| shape | shape_type |
形状类型 |
| shape | text |
文本内容 |
| shape | left/top/width/height |
位置和尺寸（EMU） |
安全修改 vs 危险字段
安全修改
text: 修改文本内容- 表格单元格的文本值
- 形状的可见文本属性
危险字段（修改可能导致损坏）
shape_id: 内部引用，修改会破坏关联left/top/width/height: 可修改但需保持 EMU 单位- 图表的内嵌数据: 结构复杂，建议用 Flow A 替代
典型用例
- 批量文字修改: 解析 → 搜索替换文本 → 重建
- 提取内容: 解析 → 读取所有文本（不重建）
- 结构检查: 解析 → 分析形状布局