Analyze and validate iOS/macOS app ideas with a structured Problem Discovery Analysis.
npx skills add https://github.com/ano4l/SiteRent --skill product-agent-ano4l
Please help me install this Agent Skill. Skill: product-agent Source: https://github.com/ano4l/SiteRent/tree/main/skills/product/product-agent Command: npx skills add https://github.com/ano4l/SiteRent --skill product-agent-ano4l
Product teams struggle to quickly validate app ideas, understand market viability, and forecast success before building.
Provide an app idea with platform details and the skill will perform a Problem Discovery Analysis and return a structured JSON-ready summary.
High-intent search queries and answers about installing and using this skill.
To validate an iOS app idea, you perform a problem discovery analysis covering the problem statement, target users, pain points, and current solutions, yielding a structured market feasibility recommendation.
Problem discovery analysis evaluates a product idea by assessing problem severity, pain point frequency, and market opportunity to generate a go or no-go MVP recommendation.
Yes, an MVP go or no-go recommendation is generated by analyzing the competitive landscape and market fit to ensure the product idea aligns with feasible MVP timelines.
Yes, product validation outputs a structured JSON object containing analysis fields and a concise summary, designed for direct integration into other stakeholder workflows.
Assessing market competition for a macOS application requires researching the current solution landscape and evaluating opportunity scope to determine overall market feasibility.
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