Alicloud Ai Misc Crawl And Skill — Alicloud AI Misc Crawl And 技能

Category: task

Alibaba Cloud 模型 Studio Crawl and 技能 Generation Prerequisites Node.js (for npx) Python 3 Network 访问 to the 模型s page 工作流 Crawl 模型s page (raw markdown) npx -y @just-every/crawl \"https://help.aliyun.com/zh/模型-studio/模型s\" > alicloud-模型-studio-模型s.md

Rebuild summary (模型s + API/usage links) python3 技能s/AI/misc/alicloud-AI-misc-crawl-and-技能/scripts/refresh_模型s_summary.py

Re生成 技能s (创建s/更新s 技能s/AI/) python3 技能s/AI/misc/alicloud-AI-misc-crawl-and-技能/scripts/refresh_alicloud_技能s.py

输出s alicloud-模型-studio-模型s.md: raw crawl 输出 输出/alicloud-模型-studio-模型s-summary.md: 清理ed summary 输出/alicloud-模型-studio-模型s.json: structured 模型 列出 输出/alicloud-模型-studio-技能-扫描.md: 技能 coverage 报告 技能s/AI/: 生成d 技能s Notes Do not invent 模型 IDs or API 端点s; only use links present on the 模型s page. After regeneration, 更新 README.md, README.en.md, and README.zh-TW.md if 技能s 列出 changed. 验证 mkdir -p 输出/alicloud-AI-misc-crawl-and-技能 for f in 技能s/AI/misc/alicloud-AI-misc-crawl-and-技能/scripts/*.py; do python3 -m py_compile "$f" done echo "py_compile_ok" > 输出/alicloud-AI-misc-crawl-and-技能/验证.txt

Pass criteria: command exits 0 and 输出/alicloud-AI-misc-crawl-and-技能/验证.txt is 生成d.

输出 And Evidence Save artifacts, command 输出s, and API 响应 summaries under 输出/alicloud-AI-misc-crawl-and-技能/. Include key parameters (region/resource id/time range) in evidence files for reproducibility. References Source 列出: references/sources.md