Evaluate product ideas by analyzing whether end users will "know" what value they can achieve.
Guides analysis of value clarity, timeline, perception, and discovery patterns.
npx skills add https://github.com/Done-0/value-realizationWorks with Claude Code, Cursor, Cline, and other AI coding assistants.
If you don't have Node.js installed:
- Download: https://github.com/Done-0/value-realization/archive/refs/heads/main.zip
- Extract and copy to:
- macOS/Linux:
~/.claude/skills/value-realization - Windows:
%USERPROFILE%\.claude\skills\value-realization
- macOS/Linux:
Analyzes product ideas through four dimensions with status indicators (🔴🟡🟢):
| Dimension | Question |
|---|---|
| Value Clarity | Can end users articulate what they'll achieve? |
| Value Timeline | When do end users see results? |
| Value Perception | Can end users see/feel their progress? |
| Value Discovery | How do end users come to understand the value? |
Each dimension receives a status assessment with analytical reasoning and sharp questions that challenge product necessity.
Triggers when you:
- Discuss product ideas with uncertainty
- Evaluate features or plan marketing strategies
- Analyze user adoption or retention problems
- Ask "is this idea good?", "will users want this?", "why aren't users staying?"
Includes quantitative analysis of real products:
✅ Success
- Dropbox: Clear value proposition — file access from any device
- Instagram: Identity transformation from photo sharing to photographer status
- Duolingo: 500M+ users — long-term value with optional short-term touchpoints
- WeChat: 1.3B users — "use and go" philosophy building trust
- GitHub: 100M+ developers — code backup and collaboration
- Notion: 30M+ users — flexible knowledge management
- Netflix: 230M+ subscribers — entertainment with personalized recommendations
- Slack: 18M+ daily active users — team communication and searchable history
- MyFitnessPal: 200M+ users — calorie tracking for weight loss
❌ Failure
- Google Wave: Shut down 14 months after launch — abstract value proposition
- Quibi: $1.75B funding, shut down in 6 months — unclear differentiation
All cases include data sources and quantitative metrics.
- English:
SKILL.md - 中文:
SKILL-zh.md
Both versions include complete documentation and case studies.
End users adopt products when they can articulate what value they'll achieve.
Key distinction:
- User: The person using this skill (product creator, PM, designer, entrepreneur)
- End user: The person who will use the product being discussed
Observed patterns:
- When end users can articulate clear value → higher adoption rates
- When end users cannot articulate value → adoption challenges
- Some end users adopt without full clarity, then discover value through use
Value types: Identity and belonging, financial gain, short/long-term benefits, status and recognition, capability enhancement, time savings, problem resolution.
Issues and pull requests welcome. For major changes, open an issue first.
MIT — see LICENSE
Built by Done-0
