Discover and validate product ideas, analyze markets, scope MVPs, and optimize app store presence for iOS/macOS apps. Use when user asks to discover, validate, assess, scope, or analyze product ideas, market opportunities, or when they mention "product agent", "app idea validation", "should I build this", "MVP", "market analysis", or "ASO".
npx skills add https://github.com/rshankras/claude-code-apple-skills --skill product-agent
Product Agent validates iOS/macOS app ideas by analyzing problems, markets, and competition. It provides honest, structured assessments to help you decide whether to build.
Use this Skill when the user wants to:
This skill performs structured product analysis using reasoning and web research. No external tools required — Claude analyzes the idea directly and researches the market via WebSearch/WebFetch.
When the user provides an app idea, perform the Problem Discovery Analysis below and present the results.
If the user hasn't provided enough detail, ask:
For each idea, analyze and produce these fields:
One-sentence description of the core problem the app solves.
Who experiences this problem most acutely? Be specific about demographics, roles, and context.
List 4-8 specific, concrete pain points users experience today. Each should be observable and verifiable.
Rate how painful this problem is:
How often do target users encounter this problem? Daily problems are stronger than weekly ones.
Research existing alternatives using WebSearch. For each competitor:
Assess the opportunity using one of: WEAK, MODERATE, STRONG, EXCELLENT.
Include reasoning about market saturation, differentiation potential, and timing.
The most important field. Provide an honest verdict:
Include:
Present results as structured JSON for easy consumption by other skills:
{
"problem_statement": "One-sentence core problem",
"target_users": "Who experiences this problem",
"pain_points": ["List of specific pain points"],
"severity_score": "N/10",
"frequency": "How often users encounter this",
"current_solutions": ["Existing alternatives and their limitations"],
"opportunity": "WEAK|MODERATE|STRONG|EXCELLENT — reasoning",
"recommendation": "Honest verdict with detailed reasoning"
}
Follow the JSON with a human-readable summary highlighting the key takeaway.
recommendationThis is the most important field. It contains:
The analysis is brutally honest — if it says "don't build", there's usually a good reason.
Look for keywords:
User provides an idea. Run the full analysis and focus on the recommendation and severity_score.
Decision framework:
Run analysis on each idea, then compare:
If initial analysis says "don't build", explore pivots:
Re-run analysis for each pivot and look for improving severity and opportunity scores.
After running discovery, use these specialized Skills for deeper analysis:
When discovery shows potential and you need to understand competition in detail:
When discovery shows potential and you need to size the opportunity:
Workflow:
1. product-agent → Quick validation (problem discovery)
2. If promising, use deep-dive Skills:
- competitive-analysis → Understand players
- market-research → Size opportunity
3. Make go/no-go decision with full data
User asks: "Should I build a password manager for the Apple ecosystem?"
You research and analyze, then present:
{
"problem_statement": "Users need secure password management that seamlessly integrates across Apple devices without relying on third-party services.",
"target_users": "Apple ecosystem loyalists who own multiple Apple devices and prioritize privacy and native integration.",
"pain_points": [
"Existing password managers prioritize cross-platform over deep Apple integration",
"Third-party managers don't fully integrate with iOS autofill and Face ID",
"Subscription fatigue from cross-platform services they don't need",
"UIs that don't follow Apple Human Interface Guidelines"
],
"severity_score": "3/10",
"frequency": "Daily, but existing solutions work adequately",
"current_solutions": [
"iCloud Keychain - Free, deeply integrated, improving rapidly. Limited organization.",
"1Password - Polished, $36-48/year, cross-platform focused",
"Bitwarden - Open source, cheaper, generic UI"
],
"opportunity": "WEAK - Highly saturated market with Apple's own iCloud Keychain as dominant free incumbent. Any differentiating feature risks being absorbed by Apple in the next OS update.",
"recommendation": "DO NOT BUILD. Apple's iCloud Keychain is free, pre-installed, and continuously improving. The differentiation window is tiny, willingness to pay for marginal improvements is low, and one security breach would be catastrophic for an indie developer. Consider instead: tools that augment iCloud Keychain, niche password management (API keys for developers), or a different underserved problem in the Apple ecosystem."
}
Summary: This is not recommended. iCloud Keychain dominates as a free, deeply-integrated solution. Unless you have a truly novel approach or serve a specific underserved niche, the market is too saturated.
Remember: This analysis is brutally honest. If it says "don't build", listen. It's saving you months of wasted effort on weak ideas.
Comprehensive web quality audit covering performance, accessibility, SEO, and best practices in a single review. Use when asked to "audit my site", "review web quality", "run lighthouse audit", "check page quality", or "optimize my website" across multiple areas at once. Orchestrates specialized skills for depth. Do NOT use for single-area audits — prefer core-web-vitals, web-accessibility, seo, or web-best-practices for focused work.
| Use when launching a new product end-to-end from market research through post-launch monitoring. Orchestrates 15+ specialist agents across 5 phases in a 10-week coordinated workflow including research, development, marketing, sales preparation, launch execution, and ongoing optimization. Employs hierarchical coordination with parallel execution for efficiency and comprehensive coverage.
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting session data.
| Create visually strong landing pages, websites, and app UIs with restrained composition. OpenAI's production frontend playbook.
Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.
This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.
This skill is designed to help users automatically extract product data from Amazon search results. The Agent should proactively apply this skill when users request searching for products related to keywords, finding best-selling items from specific brands, monitoring product prices and availability on Amazon, extracting product listings for market research, collecting product ratings and review counts for competitive analysis, finding specific products with a maximum count, searching Amazon in different languages for localized results, tracking monthly sales estimates for brand products, gathering product URLs and titles for a product catalog, scanning Amazon for Best Seller tags in a specific category, monitoring shipping and delivery information for brand items, building a structured dataset of Amazon search results.
This skill is designed to help users automatically extract reviews from Google Maps via the Google Maps Reviews API. Agent should proactively apply this skill when users request to find reviews for local businesses (e.g., coffee shops, clinics), monitor customer feedback for a specific brand or location, analyze sentiment of reviews for competitors, extract reviews for a chain of stores or services, track reputation of a local restaurant, gather user testimonials for a specific venue, conduct market research on service quality of local businesses, monitor reviews for a new retail location, collect feedback on public attractions or parks, identify common complaints for a specific service provider, research the best-rated places in a city, analyze recurring themes in reviews for a specific industry.
Take rshankras/product-agent from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.