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product-manager-toolkit

Prioritize features with the RICE framework and analyze customer interviews.

Updated Jan 15, 2026
Search Tags:#product management#prioritization#PRD#product strategy#customer discovery#RICE framework
One-click install
npx skills add https://github.com/lips85/antigravity-skills-bootstrap --skill product-manager-toolkit-lips85
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-manager-toolkit
Source: https://github.com/lips85/antigravity-skills-bootstrap/tree/main/skills/product-manager-toolkit
Command: npx skills add https://github.com/lips85/antigravity-skills-bootstrap --skill product-manager-toolkit-lips85

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This toolkit addresses the challenges product managers face in prioritizing features, understanding customer needs, documenting requirements, and defining product strategy.

Core Features & Use Cases

  • Feature Prioritization: Use the RICE framework to objectively score and rank features.
  • Customer Discovery: Analyze interview transcripts to extract pain points, requests, and jobs-to-be-done.
  • Documentation: Utilize PRD templates for clear and comprehensive product requirement documents.
  • Use Case: A product manager needs to decide which features to build next quarter. They can use the rice_prioritizer.py script with their feature list to get an objective ranking and then use the customer_interview_analyzer.py script to validate the user needs behind those top features.

Quick Start

Use the product manager toolkit to prioritize features by running the rice prioritizer script with your feature data.

Frequently Asked Questions about product-manager-toolkit

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

FAQPage Schema
How do I prioritize product features using the RICE framework?▼

You can prioritize features using the RICE framework by running the included Python prioritizer script with your feature list to calculate objective scores and generate a ranked output for product planning.

Can I analyze customer interview transcripts to extract pain points automatically?▼

You can analyze customer interview transcripts to extract pain points and jobs-to-be-done by running the included Python customer interview analyzer script against your transcript text data.

What is the best way to generate product requirement documents from discovery insights?▼

The best way to generate product requirement documents is to use the included Markdown PRD templates, mapping validated customer discovery insights into structured requirement fields for clear product documentation.

Do I need Python installed to run these product management scripts?▼

You need Python3 installed to execute the RICE calculation and customer interview analysis scripts, while the PRD and discovery framework templates are standard Markdown files requiring no runtime.

How does customer discovery validate features chosen during RICE prioritization?▼

Customer discovery validates RICE prioritization by analyzing interview transcripts to extract user pain points and jobs-to-be-done, confirming the actual user needs behind objectively scored features.

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