Idea Validator

Startup idea validation skill. Helps indie developers validate product ideas, analyze competitive landscapes, and assess market saturation.

Audits

Pass

Install

openclaw skills install idea-validator

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

CapabilityDescription
Multi-dimensional Startup Idea EvaluationComprehensive assessment of market / competition / technology / business model
User Persona and Needs ValidationTarget user persona construction and pain point analysis
MVP Roadmap GenerationDefine core features and plan product iteration path

Command List

CommandDescription
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