Startup Design
ferdinandobons/startup-skill
Design, validate, and plan a startup from scratch. An agent skill from ferdinandobons/startup-skill.
Comprehensive startup idea validation and market analysis tool.
$ npx skills add ailabs-393/ai-labs-claude-skills --skill startup-validator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ailabs-393/ai-labs-claude-skills startup-validator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "startup-validator" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/startup-validator into .claude/skills/startup-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "startup-validator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/startup-validatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ailabs-393/ai-labs-claude-skills --skill startup-validator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ailabs-393/ai-labs-claude-skills startup-validator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/skills/startup-validator .agents/skills/startup-validator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "startup-validator" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/startup-validator into .agents/skills/startup-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "startup-validator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ailabs-393/ai-labs-claude-skills --skill startup-validator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ailabs-393/ai-labs-claude-skills startup-validator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/skills/startup-validator .cursor/skills/startup-validator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "startup-validator" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/startup-validator into .cursor/skills/startup-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "startup-validator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ailabs-393/ai-labs-claude-skills.git --path packages/skills/startup-validator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ailabs-393/ai-labs-claude-skills --skill startup-validator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ailabs-393/ai-labs-claude-skills startup-validator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/skills/startup-validator .gemini/skills/startup-validator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "startup-validator" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/startup-validator into .gemini/skills/startup-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "startup-validator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ailabs-393/ai-labs-claude-skills startup-validatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ailabs-393/ai-labs-claude-skills --skill startup-validator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/skills/startup-validator .github/skills/startup-validator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "startup-validator" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/startup-validator into .github/skills/startup-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "startup-validator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ailabs-393/ai-labs-claude-skills --skill startup-validator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ailabs-393/ai-labs-claude-skills startup-validator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/skills/startup-validator .opencode/skills/startup-validator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "startup-validator" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/startup-validator into .opencode/skills/startup-validator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "startup-validator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
startup-validatorComprehensive 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. 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.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1a12bc7. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (JavaScript and Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.
.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.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.
When a user presents a startup idea, follow this systematic validation process:
Ensure complete understanding before research begins:
Extract key information:
Ask clarifying questions only if critical information is missing:
Do not ask for information you can research independently (market size, competitors, trends).
Based on the idea, create a research plan identifying:
Use templates from references/research_templates.md for query formulation.
Execute systematic research across all dimensions. Always use at least 10-15 web searches to ensure thorough analysis.
Search for:
Query examples:
Search for:
Query examples:
Search for:
Query examples:
Search for:
Query examples:
Search for:
Query examples:
CRITICAL: Use web_fetch to read full articles from authoritative sources (Gartner, McKinsey, Statista, Crunchbase, industry reports) to get detailed data, not just snippets.
After gathering data, analyze using frameworks from references/frameworks.md:
Optional: If quantitative data is available, create a JSON file and use scripts/market_analyzer.py to calculate metrics and generate additional insights.
Clearly articulate:
Develop specific recommendations:
Create a comprehensive markdown report with:
# [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:
references/frameworks.mdreferences/frameworks.mdComprehensive market analysis frameworks including:
When to use: Reference throughout analysis to ensure comprehensive evaluation across all dimensions.
references/research_templates.mdSearch query templates and reliable data sources including:
When to use: During research planning and execution to formulate effective searches and identify authoritative sources.
scripts/market_analyzer.pyPython script for quantitative market analysis:
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:
python scripts/market_analyzer.py analysis_data.jsonInput format:
{
"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
}
}Insufficient research: Do not rely on 1-3 searches. Always conduct 10-15+ searches minimum.
Vague conclusions: Avoid statements like "the market is large" without specific numbers.
Missing critical dimensions: Ensure analysis covers market opportunity, competition, problem validation, trends, and business model.
Over-optimism: Present balanced view including real risks and challenges.
Poor source quality: Prioritize primary sources and reputable analysts over blog posts and promotional content.
Ignoring timing: Market readiness and trend timing are critical factors.
No actionable recommendations: Always provide specific next steps for validation.
Users may request validation using phrases like:
© 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
SKILL.md and 5 other files (scripts, references) in packages/skills/startup-validator of ailabs-393/ai-labs-claude-skills.
Open the folder on GitHubat commit 1a12bc7
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.
Startup Validator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Startup Validator this skillailabs-393/ai-labs-claude-skills | 454 | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Startup Designferdinandobons/startup-skill | 1.2k | — | ~8.1k | Automated safety check: Pass | MIT | |
| Competitive Teardownalirezarezvani/claude-skills | 28k | 2 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Product Strategistnicepkg/auto-company | 192 | 1 repos | ~2.4k | Automated safety check: Pass | None | |
| Competitor Analysissocial-media-skills/skills | 125 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Market ResearcherNeverSight/learn-skills.dev | 216 | 1 repos | ~2.1k | Automated safety check: Pass | None |
ferdinandobons/startup-skill
Design, validate, and plan a startup from scratch. An agent skill from ferdinandobons/startup-skill.
alirezarezvani/claude-skills
Analyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence.
nicepkg/auto-company
Expert product strategy covering market analysis, competitive positioning, go-to-market planning, and product-led growth.
social-media-skills/skills
Competitor analysis for social media — public-data competitive reconnaissance to find the gap a brand can own.
NeverSight/learn-skills.dev
Market research specialist focused on comprehensive market analysis, consumer behavior insights, and market opportunity identification.
NateBJones-Projects/OB1
Turns a competitor set into a decision-ready brief: profiles, pricing and packaging comparisons, a positioning map, a SWOT and recommended moves for operators and founders.
ailabs-393/ai-labs-claude-skills
This skill should be used when analyzing technical debt in a codebase, documenting code quality issues, creating technical debt registers, or assessing code maintainability.
ailabs-393/ai-labs-claude-skills
This skill should be used when analyzing HTML/CSS websites for SEO optimization, fixing SEO issues, generating SEO reports, or implementing SEO best practices.
ailabs-393/ai-labs-claude-skills
This skill should be used when the user requests to create professional business documents (proposals, business plans, or budgets) from templates.
ailabs-393/ai-labs-claude-skills
Comprehensive personal finance management system for analyzing transaction data, generating insights, creating visualizations, and providing actionable financial recommendations.
ailabs-393/ai-labs-claude-skills
This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to various platforms.
ailabs-393/ai-labs-claude-skills
Assist writers with story planning, character development, plot structuring, chapter writing, timeline tracking, and consistency checking.
Categories
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.
Startup Validator fits situations like: users need to evaluate a startup idea; assess market fit; analyze competition; validate problem-solution fit.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.