- name
- idea-validator
- description
- Startup idea validation skill. Helps indie developers validate product ideas, analyze competitive landscapes, and assess market saturation.
Idea Validator
Overview
Helps indie developers validate the uniqueness and market potential of product ideas through a multi-dimensional evaluation framework.
Use Cases
Use when users mention "idea validation," "competitor analysis," "validate startup idea," "analyze market space," "startup idea evaluation," or "idea validation."
Core Capabilities
| Capability | Description |
|---|---|
| Multi-dimensional Startup Idea Evaluation | Comprehensive assessment of market / competition / technology / business model |
| User Persona and Needs Validation | Target user persona construction and pain point analysis |
| MVP Roadmap Generation | Define core features and plan product iteration path |
Command List
| Command | Description |
|---|---|
python scripts/idea_validator.py validate --idea "<product description>" | Validate startup idea |
python scripts/idea_validator.py compete --market "<category>" | Competitor analysis |
python scripts/idea_validator.py mvp --idea "<product description>" | Generate MVP plan |
Usage Workflow
Validate Startup Idea
When the user says "validate [product name] startup idea," execute:
python3 scripts/idea_validator.py validate --idea "<product description>"Competitor Analysis
When the user says "analyze [category] competitive landscape," execute:
python3 scripts/idea_validator.py compete --market "<category>"Generate MVP Plan
When the user says "generate MVP feature plan," execute:
python3 scripts/idea_validator.py mvp --idea "<product description>"Output Format
All commands output a unified Markdown format report containing:
- Key Findings — 3-5 key insights
- Data Overview — Key metrics table (with ratings)
- Detailed Analysis — Multi-dimensional in-depth analysis
- Actionable Recommendations — List of suggestions categorized by priority
References
See references/references.md for details, including links to Y Combinator startup methodology, community discussions, and Chinese resources.
Notes
- Do not fabricate data; mark missing data fields as "Data Unavailable"
- All analysis is based on publicly available information; AI is for reference only
- It is recommended to combine with human judgment
- Install dependencies before first use:
pip install requests