WeicongHUANG
Community@stalwarthuang
Skills that analyze technical articles from URLs and archive structured Chinese notes into Lark Wiki spaces and WeCom documents.
Agent Skills by WeicongHUANG
Showing 2 vetted skills indexed across 1 GitHub repositories.
Frequently Asked Questions About WeicongHUANG
FAQPage SchemaWhat tasks can I accomplish with stalwarthuang's skills?▼
You can submit a URL of a technical article, engineering blog, or industry research piece and receive a structured Chinese archive document. Outputs include core conclusions, detailed interpretation, insights, inspirations, and further reflections written into Lark Wiki or WeCom documents.
Who should use the lark-wiki-article-archive and wecom-article-archive skills?▼
Chinese-speaking engineers, researchers, and knowledge managers who curate technical reading into enterprise knowledge bases. They suit teams standardizing article intake with naming rules like required title prefixes or exact full titles in Lark Wiki or WeCom.
How do I trigger these article archiving skills in practice?▼
Invoke 飞书知识库收纳 or 企微文章收纳, or simply provide an article URL plus a title rule. The Lark skill writes into Wiki space 7547344448351649793; the WeCom skill uses wecom-cli to create a new standard document with Markdown notes.
What are the prerequisites and dependencies for these skills?▼
The WeCom skill requires wecom-cli to create documents. The Lark skill requires access to the configured Wiki space 7547344448351649793. Both need a user-supplied article URL and optionally a naming convention such as a title prefix.