product-agent_skill

Overview

This skill helps you discover and validate product ideas for iOS and macOS apps, scope MVPs, and optimize app store presence. It guides you from idea framing to an honest build/do-not-build recommendation, with structured output ideal for further analysis or integration.

How this skill works

The agent inspects a short idea description, target platform, and optional user persona to evaluate problem severity, frequency, current solutions, and market opportunity. It returns a structured analysis (JSON/text/markdown) including pain points, severity score, competitive gaps, and a clear recommendation. Use the JSON output for programmatic workflows and chaining with deeper research skills.

When to use it

• You want a quick go/no-go verdict on an app idea for iOS/macOS
• You need a structured problem discovery report (target users, pain points, severity)
• You want to compare multiple ideas using severity and opportunity metrics
• You need inputs to decide whether to scope an MVP or pursue deeper research
• You want app store optimization suggestions after initial validation

Best practices

• Provide a concise, specific idea description and any known target user details
• Always request --output-format json for machine-readable results and chaining
• Read the recommendation field carefully; it contains the most actionable insight
• Save analyses you plan to revisit to build a validated-ideas library
• Use verbose mode when debugging or needing execution and model metadata

Example use cases

• Validate: "Menu bar app that reminds developers to take breaks every 20 minutes" and get a severity score and recommendation
• Compare two app ideas by running discovery on each and comparing severity_score and opportunity
• Run a discovery report before scoping an MVP to identify must-have features and risks
• Feed JSON output into competitive-analysis or market-research skills for deeper due diligence
• Generate a markdown report to share findings with stakeholders or investors