polym-meeting-summary

Compile Lark VC and Lark Minutes meetings into structured customer insights.

8|Updated May 13, 2026
One-click install
npx skills add https://github.com/byteplus-sa/polym --skill polym-meeting-summary
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: polym-meeting-summary
Source: https://github.com/byteplus-sa/polym/tree/main/skills/polym-meeting-summary
Command: npx skills add https://github.com/byteplus-sa/polym --skill polym-meeting-summary

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires lark-cli, and includes references (resource) components.

What problem does it solve?

This Skill compiles Lark VC meetings and Lark Minutes into structured, decision-ready summaries so teams can quickly understand customer insights without manually collecting notes and transcripts.

Core Features & Use Cases

  • Time-window meeting compilation: Automatically discovers meetings within a specified period (default yesterday 00:00 to now) across both VC history and Minutes, then processes them end-to-end.
  • 10-dimension insight extraction: Extracts meeting purpose, decisions, customer feedback, feature asks, technical issues, business progress, competitor signals, risk signals, follow-ups, and key attendees.
  • Knowledge-base writing with dedup/aggregation: Saves outputs to the local wiki and delegates Lark wiki writes to the polym-sa-wiki workflow, including cross-meeting customer aggregation.

Quick Start

Ask the Skill to整理最近的会议 to generate summaries for meetings in the default time range and automatically save the results to your knowledge base.

Frequently Asked Questions about polym-meeting-summary

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

FAQPage Schema
How do I automatically summarize Lark meetings and extract customer insights?

You can compile Lark VC and Lark Minutes data into structured customer insights by specifying a time window. The tool automatically discovers meetings, extracts decisions and feedback, and aggregates cross-meeting patterns per customer.

How do I extract feature asks and risk signals from Lark Minutes transcripts?

You can extract feature asks and risk signals from Lark Minutes by processing transcripts through a 10-dimension extraction framework. It identifies customer feedback, technical issues, business progress, and follow-ups automatically.

Do I need lark-cli to generate meeting summaries from Lark VC?

Yes, lark-cli is required to generate meeting summaries from Lark VC. The Skill depends on lark-cli vc and meetings list modules to discover meetings and fetch minutes transcripts for insight extraction.

Can I save Lark meeting summaries and insights directly to a knowledge base?

Yes, you can save Lark meeting summaries to a knowledge base. The Skill initializes a local wiki and delegates Lark wiki writes to the polym-sa-wiki workflow, enabling cross-meeting customer aggregation.

What is the best way to aggregate cross-meeting customer feedback from Lark?

Aggregating cross-meeting customer feedback from Lark is best handled by a compilation tool that processes both VC history and Minutes. It deduplicates and aggregates patterns per customer, writing structured outputs to your local wiki.

What time range does the meeting summary tool cover by default?

By default, the meeting summary tool covers the time range from yesterday 00:00 to now. You can specify a custom time window when compiling Lark VC meetings and Lark Minutes for targeted insight extraction.