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product-manager-toolkit

Prioritize features with RICE scoring and analyze customer interviews.

Updated Apr 21, 2026
Search Tags:#templates#discovery#go-to-market#prioritization#prd#workflows
One-click install
npx skills add https://github.com/amaledtuning/CODEX_Skills --skill product-manager-toolkit-amaledtuning
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-manager-toolkit
Source: https://github.com/amaledtuning/CODEX_Skills/tree/main/skills/product-manager-toolkit
Command: npx skills add https://github.com/amaledtuning/CODEX_Skills --skill product-manager-toolkit-amaledtuning

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

PMs and teams often contend with fragmented, manual workflows for prioritization, discovery, and documentation. This Toolkit provides a centralized, repeatable set of patterns to streamline decision making and handoffs.

Core Features & Use Cases

  • RICE prioritization: scoring features by Reach, Impact, Confidence, and Effort to surface high-value bets.
  • Customer interview analysis: lightweight NLP-driven analysis for pain points, JTBD, sentiment, and themes from transcripts.
  • PRD templates & discovery frameworks: ready-to-use templates for problem definition, solution design, and go-to-market planning.
  • Use Case: When planning a quarterly roadmap, run prioritization, synthesize insights from interviews, and craft PRDs in one workflow.

Quick Start

Run the included Python scripts to prioritize features, analyze interviews, and generate PRDs.

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 features using RICE scoring for a product roadmap?▼

RICE prioritization scores features by Reach, Impact, Confidence, and Effort to surface high-value bets. This toolkit provides deterministic Python scripts to calculate scores and streamline roadmap planning decisions.

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

Customer interview analysis uses lightweight NLP to extract pain points, JTBD, sentiment, and themes from transcripts. The toolkit processes transcripts to synthesize discovery insights for product teams.

What templates are available for PRD development and go-to-market planning?▼

PRD templates and discovery frameworks provide ready-to-use structures for problem definition, solution design, and go-to-market planning. These reference templates ensure consistent documentation across workflows.

How do I streamline product management workflows for discovery and documentation?▼

Streamlining product management workflows requires centralized patterns for prioritization, discovery, and documentation. This toolkit replaces fragmented manual processes with repeatable scripts and templates for consistent outcomes.

Do I need Python to run the prioritization and interview analysis scripts?▼

Python is required to run the included scripts for feature prioritization, interview analysis, and PRD generation. The scripts provide deterministic outputs to ensure consistent results across workflows.

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