Retrieve Feishu minutes metadata and related AI artifact links using a minutes token.
npx skills add https://github.com/ykai55/dotfiles --skill lark-minutes-ykai55
Please help me install this Agent Skill. Skill: lark-minutes Source: https://github.com/ykai55/dotfiles/tree/main/opencode/skills/lark-minutes Command: npx skills add https://github.com/ykai55/dotfiles --skill lark-minutes-ykai55
It solves the problem of manually looking up Feishu/飞书妙记 metadata and tracking related AI-produced outputs by providing a single, token-driven way to retrieve key fields (title, cover, duration) and surface the associated deliverables.
minute_token from the minutes URL and fetch the core meeting fields such as title, cover URL, duration, and owner info.lark-cli vc +notes flow without forcing direct content retrieval.schema before invoking methods, reducing guesswork and malformed requests.Run lark-cli minutes minutes get with params containing minute_token extracted from your Feishu minutes URL to retrieve the minutes title, cover, and duration.
High-intent search queries and answers about installing and using this skill.
To retrieve Feishu minutes metadata, extract the minute_token from the minutes URL and pass it to the lark-cli minutes get command. This fetches core fields like title, cover URL, duration, and owner info.
A token-based lookup retrieves the Feishu minutes title, cover URL, duration, and owner info. It also surfaces the availability of related AI artifact links like transcripts, summaries, to-dos, and chapters.
To find AI summaries and transcripts linked to a Feishu meeting, fetch the minutes metadata to discover the associated artifact links. This surfaces the linkage path to transcriptions, summaries, to-dos, and chapters.
Yes, you need to check the lark-cli schema before fetching Feishu minutes data. Checking the schema ensures you use the correct request parameter structures and scopes, reducing guesswork and malformed requests.
No, the Feishu minutes token retrieves metadata and the availability of linked AI artifacts rather than extracting action items directly. It provides the linkage path to to-dos without forcing direct content retrieval.
wukangcheng2944Extract core metadata and AI artifacts from Feishu Minutes using minute_token.
yjwongRetrieve Lark Minutes metadata, transcripts, and media download links via the lark CLI.
eatbreadsManage Lark approval instances and tasks via the Lark API and CLI.
SpaceZephyrRetrieve Feishu Minutes metadata and AI-generated artifact links via the minutes API.