Agent skill

Startup Validator

by ailabs-393 in ailabs-393/ai-labs-claude-skills

Comprehensive startup idea validation and market analysis tool.

MITAuto-check passedMarketing & SEO

Install Startup Validator

skills CLI
$ npx skills add ailabs-393/ai-labs-claude-skills --skill startup-validator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ailabs-393/ai-labs-claude-skills startup-validator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/skills/startup-validator .claude/skills/startup-validator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
startup-validator
GitHub stars
454
Used in
1 other repo
Token cost
~2.8k tokens
SKILL.md length
945 words
Files
6 (incl. scripts, references)
Skills in repo
22
Repo updated
First seen
Licence
MIT

At a glance

Comprehensive startup idea validation and market analysis tool.

  • Works in 7 steps: Idea Clarification & Scoping (2-3 minutes) → Research Plan Development (1 minute) → Comprehensive Market Research (10-15… → …
  • Users need to evaluate a startup idea
  • SKILL.md covers Core Workflow, Quality Standards, Bundled Resources and Common Pitfalls to Avoid, plus 1 more section
  • Runs JavaScript and Python scripts from its folder; calls python

What it does

Startup Validator is an agent skill from ailabs-393/ai-labs-claude-skills. Comprehensive startup idea validation and market analysis tool. Use when users need to evaluate a startup idea, assess market fit, analyze competition, validate problem-solution fit, or determine market positioning. Triggers include requests to "validate my startup idea", "analyze market opportunity", "check if there's demand for", "research competition for", "evaluate business idea", or "see if my idea is viable". Provides data-driven analysis using web search, market frameworks, competitive research, and…

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `index.js`, `package.json` and `references/frameworks.md`).

It sits in Marketing & SEO, covering Startup and business strategy, Market research and Positioning and messaging. The repository describes itself as: This package is use to remove the hustle of finding claudeskills and shift them into any of the user project. This project become a bridge between user's usage and claude skills. The licence is MIT.

When your agent uses it

  • Users need to evaluate a startup idea
  • Assess market fit
  • Analyze competition
  • Validate problem-solution fit

Example prompts

  • “validate my startup idea”
  • “analyze market opportunity”
  • “check if there”
  • “/startup-validator”

Requirements

  • Python 3
  • Node.js

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Idea Clarification & Scoping (2-3 minutes)
  2. Research Plan Development (1 minute)
  3. Comprehensive Market Research (10-15 tool calls minimum)
  4. Data Analysis & Synthesis
  5. Risk & Opportunity Identification
  6. Positioning Strategy
  7. Report Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 1a12bc7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (JavaScript and Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Startup Validator loads about 2.8k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 140 tokens; SKILL.md has 945 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~140
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from ailabs-393/ai-labs-claude-skills at commit 1a12bc7, republished under its MIT licence (© ailabs-393). 945 words, ~2,756 tokens.

Download SKILL.mdSave it as .claude/skills/startup-validator/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
startup-validator
description
Comprehensive startup idea validation and market analysis tool. Use when users need to evaluate a startup idea, assess market fit, analyze competition, validate problem-solution fit, or determine market positioning. Triggers include requests to "validate my startup idea", "analyze market opportunity", "check if there's demand for", "research competition for", "evaluate business idea", or "see if my idea is viable". Provides data-driven analysis using web search, market frameworks, competitive research, and positioning recommendations.

Startup Validator

A comprehensive tool for analyzing startup ideas through systematic market research, competitive analysis, problem validation, and positioning strategy. This skill helps evaluate whether a startup idea has genuine market potential and how to position it effectively.

Core Workflow

When a user presents a startup idea, follow this systematic validation process:

1. Idea Clarification & Scoping (2-3 minutes)

Ensure complete understanding before research begins:

Extract key information:

  • Problem being solved
  • Target customer/market
  • Proposed solution
  • Business model (if mentioned)
  • Geographic focus (default: global/US)

Ask clarifying questions only if critical information is missing:

  • "Who specifically is your target customer?"
  • "What problem are they currently facing?"
  • "How are they solving this problem today?"

Do not ask for information you can research independently (market size, competitors, trends).

2. Research Plan Development (1 minute)

Based on the idea, create a research plan identifying:

  • Market size queries needed
  • Competitor research keywords
  • Problem validation searches
  • Trend analysis topics
  • Pricing/business model research

Use templates from references/research_templates.md for query formulation.

3. Comprehensive Market Research (10-15 tool calls minimum)

Execute systematic research across all dimensions. Always use at least 10-15 web searches to ensure thorough analysis.

A. Market Opportunity (3-5 searches)

Search for:

  • Market size and projections
  • Growth rates and trends
  • TAM/SAM calculations
  • Industry reports and forecasts

Query examples:

  • "[industry] market size 2025"
  • "global [product category] market forecast"
  • "[industry] growth rate CAGR"
B. Competitive Landscape (3-5 searches)

Search for:

  • Direct competitors
  • Alternative solutions
  • Market leaders
  • Recent funding/acquisitions

Query examples:

  • "[solution type] companies"
  • "[product category] alternatives"
  • "best [product type] 2025"
  • "[industry] startups funding"
C. Problem Validation (2-3 searches)

Search for:

  • Evidence of the problem
  • Current pain points
  • Customer behavior patterns
  • Existing budget allocation

Query examples:

  • "[target customer] challenges [industry]"
  • "why [target customer] need [solution]"
  • "[problem] statistics"

Search for:

  • Technology trends
  • Regulatory changes
  • Consumer behavior shifts
  • Investment patterns

Query examples:

  • "[industry] trends 2025"
  • "future of [technology/market]"
  • "[industry] investment report"
E. Business Model Research (1-2 searches)

Search for:

  • Pricing models in the space
  • Unit economics benchmarks
  • Customer acquisition strategies

Query examples:

  • "[product] pricing models"
  • "[industry] average customer acquisition cost"

CRITICAL: Use web_fetch to read full articles from authoritative sources (Gartner, McKinsey, Statista, Crunchbase, industry reports) to get detailed data, not just snippets.

4. Data Analysis & Synthesis

After gathering data, analyze using frameworks from references/frameworks.md:

Market Opportunity Assessment
  • Calculate/estimate TAM, SAM, SOM
  • Evaluate growth trajectory
  • Identify market trends (favorable/unfavorable)
  • Assess market maturity stage
Competitive Positioning
  • Map competitive landscape (direct/indirect/adjacent)
  • Identify market gaps
  • Evaluate barriers to entry
  • Assess competitive advantages needed
Problem-Solution Fit
  • Validate problem frequency and intensity
  • Assess willingness to pay
  • Evaluate current solutions and their limitations
  • Identify unique value proposition opportunities
Business Model Viability
  • Estimate unit economics potential
  • Assess scalability
  • Evaluate pricing power
  • Consider customer acquisition channels

Optional: If quantitative data is available, create a JSON file and use scripts/market_analyzer.py to calculate metrics and generate additional insights.

5. Risk & Opportunity Identification

Clearly articulate:

  • Critical Risks: Deal-breakers or major challenges
  • Manageable Risks: Solvable with strategy/execution
  • Key Opportunities: Market gaps, timing advantages, trends
  • Assumptions to Validate: Hypotheses needing testing
6. Positioning Strategy

Develop specific recommendations:

  • Target Market Segmentation: Primary beachhead market
  • Value Proposition: Core benefit statement
  • Differentiation Strategy: How to stand out
  • Go-to-Market Approach: Distribution and acquisition strategy
  • Positioning Statement: Concise market positioning
7. Report Generation

Create a comprehensive markdown report with:

markdown
# [Startup Idea] Validation Report

## Executive Summary
- One-paragraph overview
- Bottom-line recommendation: STRONG GO / PROCEED WITH VALIDATION / PIVOT RECOMMENDED / NOT VIABLE
- 3-5 key findings

## Market Analysis
### Market Size & Growth
- TAM/SAM/SOM estimates with sources
- Growth rate and trajectory
- Market maturity assessment

### Market Trends
- Key favorable trends
- Potential headwinds
- Timing considerations

## Competitive Landscape
### Direct Competitors
- List with brief descriptions
- Market share/position
- Strengths and weaknesses

### Indirect Competition
- Alternative solutions
- Substitutes

### Competitive Gaps
- Unmet needs
- Positioning opportunities

## Problem-Solution Fit
### Problem Validation
- Evidence of problem
- Frequency and intensity
- Current solutions and limitations

### Solution Differentiation
- Unique value proposition
- Competitive advantages
- Potential moats

## Business Model Assessment
### Revenue Model
- Pricing strategy alignment
- Unit economics potential
- Scalability factors

### Customer Acquisition
- Primary channels
- CAC considerations
- Sales cycle estimates

## Risk Analysis
### Critical Risks
- Deal-breakers
- Major challenges

### Manageable Risks
- Addressable concerns
- Mitigation strategies

## Positioning Recommendations
### Target Market
- Primary customer segment
- Beachhead market strategy

### Value Proposition
- Core benefit statement
- Key differentiators

### Go-to-Market Strategy
- Distribution approach
- Partnership opportunities
- Initial traction strategy

## Validation Next Steps
1. Immediate actions to validate assumptions
2. Customer interviews needed
3. MVPs or prototypes to test
4. Metrics to track

## Sources
[List all key sources with links]

Formatting Guidelines:

  • Use clear headers and subheaders
  • Bold key metrics and findings
  • Include specific numbers with sources
  • Use bullet points for scannability
  • Cite sources inline with links
  • Keep executive summary under 200 words
Show full SKILL.md (370 more words)Show less

Quality Standards

Research Thoroughness
  • Minimum 10-15 web searches across all dimensions
  • Use authoritative sources (prioritize: Gartner, Forrester, McKinsey, Statista, Crunchbase, industry analysts)
  • Cross-validate data from multiple sources
  • Fetch full articles for detailed analysis, not just snippets
Analysis Depth
  • Apply multiple frameworks from references/frameworks.md
  • Provide specific numbers and estimates (not vague statements)
  • Identify both opportunities AND risks
  • Include actionable recommendations
Report Quality
  • Clear executive summary with definitive recommendation
  • Well-structured with logical flow
  • Specific and actionable insights
  • Properly cited sources
  • Honest about data limitations and assumptions

Bundled Resources

references/frameworks.md

Comprehensive market analysis frameworks including:

  • TAM/SAM/SOM analysis methodology
  • Porter's Five Forces
  • Problem-solution fit criteria
  • Business model assessment frameworks
  • Risk assessment categories
  • Positioning frameworks

When to use: Reference throughout analysis to ensure comprehensive evaluation across all dimensions.

references/research_templates.md

Search query templates and reliable data sources including:

  • Market size research queries
  • Competitive analysis searches
  • Problem validation queries
  • Trend analysis keywords
  • Recommended data sources by category
  • Source quality hierarchy

When to use: During research planning and execution to formulate effective searches and identify authoritative sources.

scripts/market_analyzer.py

Python script for quantitative market analysis:

  • Market metric calculations (TAM/SAM/SOM percentages, growth projections)
  • Unit economics analysis (LTV:CAC, payback period, margins)
  • Viability scoring algorithm
  • Automated report generation

When to use: When quantitative data is available and calculations would strengthen the analysis. Input data via JSON file, outputs calculated metrics and markdown report sections.

Example usage:

bash
python scripts/market_analyzer.py analysis_data.json

Input format:

json
{
  "startup_name": "Example Startup",
  "market_data": {
    "tam": 10000000000,
    "sam": 2000000000,
    "som": 200000000,
    "current_market_size": 5000000000,
    "growth_rate": 15,
    "years": 5,
    "competition_level": "medium",
    "market_maturity": "growing"
  },
  "business_data": {
    "cac": 500,
    "ltv": 2000,
    "monthly_revenue": 50,
    "revenue": 1000,
    "cost": 300
  }
}

Common Pitfalls to Avoid

  1. Insufficient research: Do not rely on 1-3 searches. Always conduct 10-15+ searches minimum.

  2. Vague conclusions: Avoid statements like "the market is large" without specific numbers.

  3. Missing critical dimensions: Ensure analysis covers market opportunity, competition, problem validation, trends, and business model.

  4. Over-optimism: Present balanced view including real risks and challenges.

  5. Poor source quality: Prioritize primary sources and reputable analysts over blog posts and promotional content.

  6. Ignoring timing: Market readiness and trend timing are critical factors.

  7. No actionable recommendations: Always provide specific next steps for validation.

Example Trigger Phrases

Users may request validation using phrases like:

  • "Validate my startup idea about..."
  • "Is there a market for..."
  • "Analyze the opportunity for..."
  • "Research if people need..."
  • "Check competition for..."
  • "See if my business idea is viable..."
  • "Evaluate this concept..."
  • "Do market research on..."
  • "What's the potential for..."

© ailabs-393, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in packages/skills/startup-validator of ailabs-393/ai-labs-claude-skills.

  • SKILL.md
  • index.js
  • package.json
  • references/frameworks.md
  • references/research_templates.md
  • scripts/market_analyzer.py

Open the folder on GitHubat commit 1a12bc7

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in ailabs-393/ai-labs-claude-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Product Strategistnicepkg/auto-company1921 repos~2.4kAutomated safety check: PassNone
Competitor Analysissocial-media-skills/skills125—~1.3kAutomated safety check: PassMIT
Market ResearcherNeverSight/learn-skills.dev2161 repos~2.1kAutomated safety check: PassNone

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Questions about Startup Validator

What does Startup Validator do?

Comprehensive startup idea validation and market analysis tool. Startup Validator is an agent skill from ailabs-393/ai-labs-claude-skills. Comprehensive startup idea validation and market analysis tool.

When should I use Startup Validator?

Startup Validator fits situations like: users need to evaluate a startup idea; assess market fit; analyze competition; validate problem-solution fit.

How do I install Startup Validator in Claude Code?

Run `npx skills add ailabs-393/ai-labs-claude-skills --skill startup-validator -a claude-code`. Or copy the skill folder (packages/skills/startup-validator in ailabs-393/ai-labs-claude-skills) into .claude/skills/startup-validator in your project. Claude Code loads it when a task matches its description.

How do I install Startup Validator in Codex?

Run `npx skills add ailabs-393/ai-labs-claude-skills --skill startup-validator -a codex`. Or copy the skill folder (packages/skills/startup-validator in ailabs-393/ai-labs-claude-skills) into .agents/skills/startup-validator in your project. Codex loads it when a task matches its description.

Can I use Startup Validator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ailabs-393/ai-labs-claude-skills --skill startup-validator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/startup-validator, .gemini/skills/startup-validator, .github/skills/startup-validator and .opencode/skills/startup-validator in your project.

What does Startup Validator need to run?

Going by SKILL.md and its folder, Startup Validator needs JavaScript and Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; Node.js.

Does Startup Validator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Startup Validator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Startup Validator use?

Startup Validator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Startup Validator use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Startup Validator?

Skills that share tags, products or a category with Startup Validator: Startup Design (ferdinandobons/startup-skill, 1.2k stars), Competitive Teardown (alirezarezvani/claude-skills, 28k stars), Product Strategist (nicepkg/auto-company, 192 stars) and Competitor Analysis (social-media-skills/skills, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Startup Validator?

ailabs-393 (a GitHub user) maintains it in ailabs-393/ai-labs-claude-skills, which has 454 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on November 11, 2025.

Source: ailabs-393/ai-labs-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.