python3 $SKILL_DIR/scripts/resume_scan.py --deck-dir <deck_dir>

Dispatch:

| Manifest | Do |
|---|---|
| `style_spec_done == false` | Run Stage 2 |
| `outline_done == false` | Run Stage 3 |
| per-page `action == "full"` | Run Stage 4.1 + 4.2 |
| per-page `action == "render_only"` | Run Stage 4.2 only (prompt.txt already on disk) |
| per-page `action == "skip"` | Skip |
| `pptx_done == false` (all pages done or failed) | Run Stage 5 |

python3 -c "
import sys, pathlib, json
sys.path.insert(0, '$PPT_STANDARD_DIR/lib')
from model_client import llm

deck = pathlib.Path('<deck_dir>')
tp = json.loads((deck / 'task_pack.json').read_text())
ip = json.loads((deck / 'info_pack.json').read_text())

sys_prompt = open('$SKILL_DIR/prompts/style_from_query.md').read()
user_prompt = json.dumps({
    'params': tp['params'],
    'query': ip.get('user_query'),
    'digest': ip.get('document_digest'),
}, ensure_ascii=False)

md = llm(sys_prompt, user_prompt)
(deck / 'style_spec.md').write_text(md, encoding='utf-8')
print('style_spec.md ok')
"

python3 -c "
import sys, pathlib, json
sys.path.insert(0, '$PPT_STANDARD_DIR/lib')
from model_client import vlm

deck = pathlib.Path('<deck_dir>')
ip = json.loads((deck / 'info_pack.json').read_text())
tp = json.loads((deck / 'task_pack.json').read_text())

refs = [p for p in (ip.get('user_assets') or {}).get('reference_images', []) if pathlib.Path(p).exists()]

sys_prompt = open('$SKILL_DIR/prompts/style_from_image.md').read()
user_prompt = f'PPT 主题/参数: {json.dumps(tp[\"params\"], ensure_ascii=False)}\nuser_query: {ip.get(\"user_query\") or \"\"}'

md = vlm(sys_prompt, user_prompt, images=refs)
(deck / 'style_spec.md').write_text(md, encoding='utf-8')
print(f'style_spec.md ok (from {len(refs)} ref images)')
"

python3 -c "
import sys, pathlib, json
sys.path.insert(0, '$PPT_STANDARD_DIR/lib')
from model_client import llm

deck = pathlib.Path('<deck_dir>')
tp = json.loads((deck / 'task_pack.json').read_text())
ip = json.loads((deck / 'info_pack.json').read_text())
style = (deck / 'style_spec.md').read_text()

sys_prompt = open('$SKILL_DIR/prompts/outline.md').read()
user_prompt = json.dumps({
    'style_spec_markdown': style,
    'params': tp['params'],
    'query': ip.get('user_query'),
    'digest': ip.get('document_digest'),
}, ensure_ascii=False)

raw = llm(sys_prompt, user_prompt).strip()
if raw.startswith('\`\`\`'):
    raw = raw.split('\n', 1)[1].rsplit('\`\`\`', 1)[0]
data = json.loads(raw)
assert len(data['pages']) == tp['params']['page_count'], 'page_count mismatch'
(deck / 'outline.json').write_text(json.dumps(data, ensure_ascii=False, indent=2))
print(f'outline ok, {len(data[\"pages\"])} pages')
"

python3 -c "
import sys, pathlib, json
sys.path.insert(0, '$PPT_STANDARD_DIR/lib')
from model_client import llm

deck = pathlib.Path('<deck_dir>')
N = <NNN>
style = (deck / 'style_spec.md').read_text()
outline = json.loads((deck / 'outline.json').read_text())
page = next(p for p in outline['pages'] if int(p['page_no']) == N)

sys_prompt = open('$SKILL_DIR/prompts/page_prompt.md').read()
user_prompt = json.dumps({'style_spec_markdown': style, 'page': page}, ensure_ascii=False)

txt = llm(sys_prompt, user_prompt)
(deck / 'pages' / f'page_{N:03d}.prompt.txt').write_text(txt, encoding='utf-8')
print(f'prompt page {N} ok')
"

undefined

python $SN_IMAGE_BASE/scripts/sn_agent_runner.py sn-image-generate \
  --prompt "$(cat <deck_dir>/pages/page_<NNN>.prompt.txt)" \
  --negative-prompt "hex color code, #RRGGBB, rgb(), rgba(), hsl(), hsla(), css, json, yaml, code snippet, pixel values, px, em, rem, pt, color palette text, typography label, design spec, style guide, font stack, hex code, layout annotation, dimensional callout, figma-style spec sheet, wireframe annotation, swatch with numbers" \
  --aspect-ratio 16:9 \
  --image-size 2k \
  --save-path <deck_dir>/pages/page_<NNN>.png \
  --output-format json

python3 $SKILL_DIR/scripts/build_pptx.py --deck-dir <deck_dir>

行为约定：

- 输出路径默认 `<deck_dir>/<deck_id>.pptx`；可用 `--output` 覆盖。
- 页序按 `outline.json` 的 `page_no` 排；缺失 `outline.json` 时按 `page_001..page_NNN` 走。
- 缺失的 PNG 会插入空白页并在 stderr 记录一行，**不中止**；这样跟 Stage 4 的"失败跳过"语义一致。
- 脚本失败（依赖缺失 / 写盘失败）：echo 失败原因，**不中止整个 skill**，仍进入 Stage 6 收尾；PNG 已在磁盘上。

依赖：`python-pptx`（与 `sn-ppt-standard` 共用的打包思路；若运行环境未装，由 `sn-ppt-doctor` 的 env check 提示安装）。

创意模式已完成。

📁 输出目录：<deck_dir>
📄 结果文件：
  - style_spec.md
  - outline.json
  - pages/page_001.png ~ page_NNN.png（失败 M 页：page_..., page_...）
  - <deck_id>.pptx（整册，缺失页插入空白）

⚠️ 未完成：
  - page_007：生图返回超时，已跳过（pptx 中为空白页）

下一步：
  - 可直接打开 <deck_id>.pptx 查看整册
  - 或在 pages/ 目录查看 PNG