cs-prep

Synthesize customer meeting history into structured Markdown QBR briefs.

1|2|Updated Dec 3, 2025
One-click install
npx skills add https://github.com/jayhjenkins/ProductOSv0.2 --skill cs-prep
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cs-prep
Source: https://github.com/jayhjenkins/ProductOSv0.2/tree/main/.claude/skills/workflows/cs-prep
Command: npx skills add https://github.com/jayhjenkins/ProductOSv0.2 --skill cs-prep

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill compiles customer-specific meeting history, extracts signals, quotes, and pain points, and timelining feature requests to prepare for QBRs and strategic CS discussions.

Core Features & Use Cases

  • Customer-specific history synthesis: Aggregate meetings and interactions to build a coherent narrative.
  • Signal and quote extraction: Identify wins, pain points, onboarding friction, and feature requests with attributions.
  • Timeline generation: Create a chronological log of requests and events for roadmaps and discussions.
  • CS Brief generation: Produce a structured brief file suitable for distribution and review.

Quick Start

Use the cs-prep skill to generate a QBR brief by specifying the customer name and a lookback window, for example: cs-prep --customer AcmeCorp --days 90

Frequently Asked Questions about cs-prep

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

FAQPage Schema
How do I synthesize customer meeting history into a structured QBR brief?

This Skill synthesizes customer meeting history into a structured QBR brief by extracting signals, quotes, and pain points across a specified lookback window. It outputs a Markdown file aggregating wins and timelines for strategic customer success reviews.

How do I create a timeline of feature requests from customer interactions for a QBR?

You can create a timeline of feature requests by specifying a customer name and lookback window. The Skill chronologically logs requests and events from your meeting history to build a coherent narrative for roadmaps and discussions.

What inputs do I need to generate a customer success brief?

You need the customer name and a lookback window in days to generate a customer success brief. The Skill processes these inputs to extract signals and output a Markdown file at datasets/product/customer-briefs/{Customer}_{YYYYMMDD}_qbr.md.

Can I extract pain points and quotes from past meetings for customer reviews?

Yes, you can extract pain points and quotes from past meetings for customer reviews. The Skill identifies wins, onboarding friction, and feature requests with attributions by leveraging meeting-synthesis for signal extraction across a specified lookback window.

Does the QBR brief generation process work without a meeting-synthesis component?

No, QBR brief generation explicitly leverages the meeting-synthesis skill for signal extraction. It relies on this underlying process to identify wins, pain points, and onboarding friction from raw customer interaction history before compiling the final Markdown brief.