lark-vc

Search past Feishu video meetings and retrieve notes, transcripts, and AI artifacts.

Updated Sep 4, 2025
One-click install
npx skills add https://github.com/ykai55/dotfiles --skill lark-vc-ykai55
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lark-vc
Source: https://github.com/ykai55/dotfiles/tree/main/opencode/skills/lark-vc
Command: npx skills add https://github.com/ykai55/dotfiles --skill lark-vc-ykai55

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Flying book video meetings produce multiple artifacts and documents that are hard to locate and collect after the meeting ends, especially when you need summaries, todos, chapters, and transcripts.

Core Features & Use Cases

  • Search past meeting records: Find already-finished meetings by keywords, time range, organizer, participants, and room, then use meeting IDs for follow-up retrieval.
  • Fetch meeting notes and transcripts: Retrieve main note documents and verbatim transcript documents, or use “minute tokens” to get AI-produced artifacts like summary, todos, chapters, and transcript files.
  • Right-path retrieval logic: Enforces that future agenda lookups should use the separate lark-calendar skill, keeping video-meeting queries scoped correctly.

Quick Start

Ask: lark-cli vc +search for meetings you attended last week by using a keyword and time range, then use the returned meeting_id values to run lark-cli vc +notes to fetch the corresponding notes and transcript links.

Frequently Asked Questions about lark-vc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve Feishu video meeting notes and transcripts for past meetings?

To retrieve Feishu video meeting notes, first search for finished meetings using filters like keywords, time range, or participants to get meeting IDs, then use those IDs to fetch corresponding notes, verbatim transcripts, and AI-generated artifacts.

Can I search past Lark video meetings by participants and time range?

Yes, you can search past Lark video meetings by filtering on keywords, time range, organizer, participants, or room to retrieve meeting records and their unique meeting identifiers for follow-up data extraction.

How do I get AI summaries, todos, and chapters from Lark meeting transcripts?

You can get AI summaries, todos, and chapters by using minute tokens from your meeting records to retrieve AI-produced artifacts, including summary files, todo lists, chapter markers, and full transcript files.

Does this Skill handle upcoming scheduled Lark meetings or only finished ones?

This Skill exclusively handles finished Lark video meetings. Future agenda lookups and scheduled meetings should use the separate lark-calendar skill to ensure correct routing and query scoping.

Do I need lark-cli and authenticated access to query Feishu meeting records?

Yes, querying Feishu meeting records requires using lark-cli with authenticated access via lark-shared to safely retrieve meeting notes, transcripts, and AI artifacts with pagination support.