mj-lark-meet

Extracts Lark meeting transcripts into Wiki documents and tasks via lark-cli automation.

Updated May 30, 2026
One-click install
npx skills add https://github.com/RockerMJ031/mj-claude-skills --skill mj-lark-meet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mj-lark-meet
Source: https://github.com/RockerMJ031/mj-claude-skills/tree/main/mj-lark-meet
Command: npx skills add https://github.com/RockerMJ031/mj-claude-skills --skill mj-lark-meet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Manually copying Lark meeting transcripts, summarizing discussions, and pasting them into Notion or Wiki is tedious and error-prone. This Skill eliminates that friction by fully automating the pipeline from raw transcript to structured document with embedded action items.

Core Features & Use Cases

  • Intelligent Search: Find meetings using natural language like "上周所有会议" or paste a direct minutes URL.
  • Auto-Classification: Heuristically determines if a transcript is a training session or a meeting, then applies the correct template.
  • Lark Native Integration: Pushes finished documents to Lark Wiki and creates real Lark Tasks for every action item, embedded directly in the document.
  • Edge Case Handling: Manages anonymous speakers, multilingual transcripts, uncertain classifications, and failed pushes with user-friendly prompts.

Quick Start

Use the mj-lark-meet skill to automatically turn your Lark meeting transcripts into structured training documents or meeting minutes and push them to Lark Wiki by simply asking "整理上周所有会议".

Frequently Asked Questions about mj-lark-meet

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

FAQPage Schema
How do I automatically convert Lark meeting transcripts into structured Wiki docs?

You can convert Lark meeting transcripts into structured Wiki docs by using a Skill that searches minutes, parses transcripts, auto-classifies sessions, and pushes rendered documents to Lark Wiki. It requires lark-cli authentication to automate the pipeline end-to-end.

Can I create Lark Tasks for action items directly from meeting minutes?

Yes, action items extracted from meeting minutes can be automatically converted into real Lark Tasks. The Skill embeds these tasks directly within the structured document and integrates with the Lark Task API to ensure seamless tracking.

How do I find specific Lark meetings to generate documentation from natural language?

You can find Lark meetings using natural language queries like "上周所有会议" or by pasting a direct minutes URL. The Skill uses intelligent search to locate the relevant recordings before parsing the transcript for document generation.

Does the Lark transcript automation handle anonymous speakers and multilingual transcripts?

Yes, the Lark transcript automation handles edge cases including anonymous speakers, multilingual transcripts, and uncertain classifications. It provides user-friendly prompts to manage these scenarios during heuristic classification and template rendering.

What is the best way to structure training documents from Lark video conference recordings?

The best way to structure training documents from Lark recordings is to heuristically classify the transcript as a training session, apply the correct template, and render speaker attribution and action items into a searchable Wiki format.

Do I need lark-cli authentication to automate meeting minutes creation?

Yes, lark-cli authentication is required to automate meeting minutes creation. This authentication coordinates minutes search, transcript parsing, and Lark Wiki and Task API integration to deliver end-to-end automation without manual copy-pasting.