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