PRD Mastery: Context-Aware, Expert-Driven, and Token-Efficient Refinement

Automate context-aware PRD refinement with repository reconnaissance and expert-driven questioning.

Updated Jun 16, 2017
One-click install
npx skills add https://github.com/vuanhtu1993/vuanhtu1993.github.io --skill prd-mastery-context-aware-expert-driven-and-token-efficient-refinement-vuanhtu1993
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: PRD Mastery: Context-Aware, Expert-Driven, and Token-Efficient Refinement
Source: https://github.com/vuanhtu1993/vuanhtu1993.github.io/tree/main/.gemini/skills/ba-prd-skills
Command: npx skills add https://github.com/vuanhtu1993/vuanhtu1993.github.io --skill prd-mastery-context-aware-expert-driven-and-token-efficient-refinement-vuanhtu1993

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill helps AI agents generate high-quality, token-efficient Product Requirements Documents by automatically discovering project context and guiding expert-driven questioning.

Core Features & Use Cases

  • Automated repository reconnaissance to identify project type, tech stack, and architecture
  • Adaptive questioning frameworks inspired by Marty Cagan, Teresa Torres, and George Biddle
  • Token-efficient PRD templates and structured folder organization for scalable product documentation Use Case: A product manager can rapidly bootstrap a PRD for a new feature by running reconnaissance, selecting a workflow, and populating the template with concise, decision-ready content.

Quick Start

Use the skill to scan a repository and scaffold a new PRD by running the included scripts and following the workflow.

Frequently Asked Questions about PRD Mastery: Context-Aware, Expert-Driven, and Token-Efficient Refinement

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

FAQPage Schema
How do I generate a product requirements document from an existing codebase?

Generate a token-efficient PRD by running automated repository reconnaissance to identify the tech stack, then use adaptive questioning frameworks to populate structured templates with decision-ready content.

What is expert-driven questioning for PRD refinement?

Expert-driven questioning applies adaptive interview frameworks inspired by Marty Cagan, Teresa Torres, and George Biddle to reconcile repository context with stakeholder needs, ensuring the generated PRD captures essential product decisions.

Can I use this skill to bootstrap a PRD for a new software project?

Yes, this skill applies context-aware refinement workflows to both new and existing projects, guiding reconnaissance and template generation to scaffold initial product documentation without requiring prior repository history.

How do I make my product requirements documents more token-efficient?

Make product requirements documents more token-efficient by using structured folder organization and reusable templates that enforce concise, decision-ready content generation while automatically extracting frontmatter metadata to reduce redundant context.

Does this PRD generation skill require any external dependencies?

No, this PRD generation skill requires no external dependencies. It operates entirely using included scripts to perform repository reconnaissance, guide stakeholder interviews, and generate structured templates within your existing environment.

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