shai-idea-evaluation

Evaluate raw product ideas into structured Markdown reports with personas and MoSCoW priorities.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/kirillshilin/instructions --skill shai-idea-evaluation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: shai-idea-evaluation
Source: https://github.com/kirillshilin/instructions/tree/main/src/shai-product/skills/shai-idea-evaluation
Command: npx skills add https://github.com/kirillshilin/instructions --skill shai-idea-evaluation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Turns a raw software product idea into a structured evaluation, providing a clear concept, identified personas, user journeys, competitive gaps, and prioritized capabilities to support fast go/no-go decisions.

Core Features & Use Cases

  • Structured evaluation: Generates a comprehensive report with core concept, killer feature, delight score, and MoSCoW prioritization to guide product strategy.
  • Persona & journey planning: Produces user personas and journey maps that feed into downstream skills like feature-mapping and story-decomposition.
  • Competitive research & validation: Performs quick competitor analysis and gap assessment to validate market fit for the idea.
  • Use Case: Given a raw product idea, outputs an evaluation suitable for feeding into concept refinement and product roadmapping.

Quick Start

Provide a raw product idea and request a complete evaluation following the workflow so you can turn a vague concept into a concrete plan.

Frequently Asked Questions about shai-idea-evaluation

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

FAQPage Schema
How do I turn a raw product idea into a structured evaluation report?

Product idea evaluation transforms a raw concept into a structured Markdown report by running through rounds of questions, competitor research, persona building, user journey mapping, and MoSCoW prioritization to support fast go/no-go decisions.

What is MoSCoW prioritization and how does it apply to product discovery?

MoSCoW prioritization categorizes product capabilities into Must-have, Should-have, Could-have, and Won't-have buckets. It applies to product discovery by structuring feature evaluation within the generated report to guide development strategy.

Can I use this evaluation output for downstream feature mapping and story decomposition?

Yes, the evaluation generates user personas and journey maps specifically designed to feed into downstream skills like feature-mapping and story-decomposition for further concept refinement and product roadmapping.

What's the best way to validate market fit for a new software product idea?

Validating market fit involves performing quick competitor research and gap assessment during the evaluation process. This identifies competitive gaps and produces a clear core concept with a killer feature and delight score.

Do I need any specific dependencies or components to generate a product evaluation report?

No external dependencies are required. The evaluation operates independently, utilizing internal references to produce a Markdown document saved as docs/product/{name}.idea.md while updating personas and ideas indices accordingly.