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polym-customer-brief

Aggregate SA wiki, local wiki, and Lark IM messages into a pre-meeting customer snapshot.

8|Updated May 13, 2026
Search Tags:#meeting preparation#customer intelligence#wiki aggregation#lark im search#quota risk#competitor radar#c360 usage
One-click install
npx skills add https://github.com/byteplus-sa/polym --skill polym-customer-brief
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: polym-customer-brief
Source: https://github.com/byteplus-sa/polym/tree/main/skills/polym-customer-brief
Command: npx skills add https://github.com/byteplus-sa/polym --skill polym-customer-brief

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill reduces the time and effort required to prepare for a customer meeting by turning scattered signals (wiki data, local wiki context, live IM activity, and optional C360 usage) into a single coherent intelligence snapshot.

Core Features & Use Cases

  • Rule-driven briefing output: Produces a 2-minute pre-meeting snapshot with fixed sections and hidden empty blocks, including stage, products, commitments, open items, and competitor radar.
  • Parallel multi-source research: Queries SA Wiki, local wiki (when available), and recent Lark IM messages concurrently, then merges results with deduplication and conflict handling.
  • Deterministic “suggested topics”: Generates up to three talking points based on explicit priority rules (quota risk, unanswered questions, competitor considerations, and overdue commitments).
  • Mode-based speed/coverage: Supports quick, default, and full tiers, where C360 is only included in full mode when a Chrome extension is connected.
  • Read-only safety posture: Aggregates existing information and explicitly avoids any wiki writes.

Quick Start

Tell the agent: polym-customer-brief Acme and it will return a fast pre-meeting intelligence snapshot for Acme, including recent activity, open items, commitments, and suggested topics for today.

Frequently Asked Questions about polym-customer-brief

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

FAQPage Schema
How do I prepare a customer meeting brief from scattered Lark IM messages and wiki records?▼

To generate a customer meeting brief, the Skill aggregates SA wiki records, local wiki context, and recent Lark IM messages concurrently, merging them into a single intelligence snapshot with deduplication and conflict annotation.

What is the best way to generate suggested talking points for a customer meeting?▼

The best way to generate suggested talking points is using deterministic priority rules that evaluate quota risk, unanswered questions, competitor radar considerations, and overdue commitments to produce up to three tailored topics.

Does this customer intelligence tool require a Chrome extension for C360 usage data?▼

C360 usage data requires a connected Chrome extension and is only included when running the Skill in full mode, as quick and default modes omit this data for faster processing.

Can I use this Skill to write updates back to the wiki during meeting preparation?▼

No, you cannot write updates back to the wiki because the Skill maintains a strict read-only safety posture, aggregating existing information without performing any wiki writes.

How do I get a pre-meeting intelligence snapshot for a specific client?▼

You get a pre-meeting intelligence snapshot by instructing the agent with a customer name and optional time window or meeting date, which triggers concurrent 4-way querying to produce a 2-minute briefing.

What are the limitations of using Lark IM for customer meeting preparation?▼

A key limitation is that local wiki context is only queried when available, and C360 usage is restricted to full mode with a Chrome extension, meaning quick mode relies heavily on SA wiki and Lark IM messages.

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