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jokken79
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product-manager-toolkit

Automates product management workflows with RICE prioritization, interview analysis, and PRD templates.

1|Updated Dec 15, 2025
Search Tags:#research#roadmap#prioritization#framework#product#management#prd
One-click install
npx skills add https://github.com/jokken79/YuKyuDATA-app1.0v --skill product-manager-toolkit-jokken79
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-manager-toolkit
Source: https://github.com/jokken79/YuKyuDATA-app1.0v/tree/main/.agent/skills/product-manager-toolkit
Command: npx skills add https://github.com/jokken79/YuKyuDATA-app1.0v --skill product-manager-toolkit-jokken79

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Product teams often juggle scattered methods for prioritization, research, and go-to-market planning, leading to misaligned roadmaps and duplicated effort. This Skill provides a unified toolkit to streamline these activities and keep stakeholders aligned.

Core Features & Use Cases

  • RICE prioritization: Compute structured scores to rank the backlog and inform roadmap decisions.
  • Interview analysis: Extract actionable insights from customer interviews to shape product strategy.
  • PRD templates: Ready-to-use documentation templates for fast alignment across teams.
  • Discovery frameworks: Frameworks for opportunity mapping, JTBD, and hypothesis testing.
  • Go-to-market playbooks: Templates and guidance for launches, messaging, and enablement.

Quick Start

Run the included scripts (rice_prioritizer.py, customer_interview_analyzer.py) with your data to generate a prioritized plan and insights.

Frequently Asked Questions about product-manager-toolkit

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

FAQPage Schema
How do I calculate RICE scores for product roadmap prioritization?▼

RICE prioritization is calculated by running the included rice_prioritizer.py script with your backlog data, which computes structured scores to rank features and inform your roadmap decisions.

Can I extract actionable insights from customer interview transcripts for product discovery?▼

Yes, you can extract actionable insights from customer interviews by running the customer_interview_analyzer.py script with your data to shape your product strategy and discovery process.

What frameworks are available for product discovery and opportunity mapping?▼

The toolkit provides ready-to-run frameworks for opportunity mapping, Jobs-To-Be-Done (JTBD), and hypothesis testing to drive structured product discovery from research to launch.

How do I create Product Requirement Documents (PRDs) that align cross-functional teams?▼

You can generate aligned PRDs using the included ready-to-use documentation templates, which standardize requirement documentation and facilitate fast alignment across product teams.

Does the product-manager-toolkit require external dependencies or specific environments to run?▼

No external dependencies are required. The toolkit operates with zero dependencies, allowing you to run the included Python scripts and reference materials in any standard environment.

What's the best way to plan a go-to-market launch for a new product feature?▼

The best way to plan a go-to-market launch is by using the toolkit's included go-to-market playbooks, which provide templates and guidance for messaging, launches, and enablement.

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