idea-validator

shipshitdev/library · updated Apr 8, 2026

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$npx skills add https://github.com/shipshitdev/library --skill idea-validator
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summary

Rigorously assess startup ideas BEFORE building using structured validation—saving months of wasted effort on ideas that won't work.

skill.md

Idea Validator - Startup Idea Assessment Framework

Rigorously assess startup ideas BEFORE building using structured validation—saving months of wasted effort on ideas that won't work.

Hexa's Principle: "You want to make something people want. But people don't always know what they want—so you need to understand what they actually need."

When This Activates

  • User asks "is this a good idea"
  • User says "I want to build X" without validation
  • User asks "should I pursue this"
  • User mentions a startup idea they're considering
  • User wants to know if their idea is worth building

The Framework

Validation = Opportunity Memo Assessment + Perceived Created Value (PCV) Score

Problem Assessment Matrix

Dimension Rating Impact
Frequency [Daily/Weekly/Monthly] High/Med/Low
Severity [Critical/Important/Nice-to-have] High/Med/Low
Awareness [Actively seeking/Aware/Unaware] High/Med/Low
Budget [Has budget/Would find/No budget] High/Med/Low

Problem Score: 3-4 High = Strong. 1-2 = Weak. 0 = Not a real problem.

PCV Scoring (4 Dimensions)

Rate current solution problems + your improvement:

Dimension Current Problem Your Improvement
Price Not a problem / A problem / Serious No diff / Some / Serious
Quality Not a problem / A problem / Serious No diff / Some / Serious
Performance Not a problem / A problem / Serious No diff / Some / Serious
Convenience Not a problem / A problem / Serious No diff / Some / Serious

Scoring: a=0, b=1, c=3 points. Sum all 8 ratings.

Score Interpretation Recommendation
0-6 Weak Don't pursue
7-12 Moderate Needs refinement
13-18 Strong Worth pursuing
19-24 Exceptional Build NOW

Quick Discovery Questions

Problem Space:

  1. What specific pain point does your ICP feel?
  2. How do they currently solve this?
  3. What's wrong with current solutions?
  4. How often do they experience this pain?
  5. What does this problem cost them?

Timing:

  1. Why is NOW the right time?
  2. What has changed recently?
  3. What barriers existed before that are now gone?

ICP:

  1. Company type, size, industry
  2. Buyer vs. user role
  3. What triggers them to seek a solution?

Integration

Skill When to Use
market-sizer After validation passes
startup-icp-definer Deep dive on customer
mvp-architect Scope the build
leads-researcher Find design partners

For detailed execution workflow, output templates, and PCV calculations: references/full-guide.md

how to use idea-validator

How to use idea-validator on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add idea-validator
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/shipshitdev/library --skill idea-validator

The skills CLI fetches idea-validator from GitHub repository shipshitdev/library and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/idea-validator

Reload or restart Cursor to activate idea-validator. Access the skill through slash commands (e.g., /idea-validator) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.639 reviews
  • Pratham Ware· Dec 16, 2024

    Solid pick for teams standardizing on skills: idea-validator is focused, and the summary matches what you get after install.

  • Diego Abebe· Dec 16, 2024

    Solid pick for teams standardizing on skills: idea-validator is focused, and the summary matches what you get after install.

  • Sakshi Patil· Nov 7, 2024

    We added idea-validator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Aarav Verma· Nov 7, 2024

    We added idea-validator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chaitanya Patil· Oct 26, 2024

    idea-validator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Xiao Rahman· Oct 26, 2024

    idea-validator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Jin Patel· Sep 25, 2024

    idea-validator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Alexander Singh· Sep 17, 2024

    Useful defaults in idea-validator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Oshnikdeep· Sep 9, 2024

    I recommend idea-validator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sofia Thomas· Sep 9, 2024

    Keeps context tight: idea-validator is the kind of skill you can hand to a new teammate without a long onboarding doc.

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