Skill UI

This structured mode acts as an experiment design partner for Product Managers. It guides users through formulating testable, falsifiable hypotheses, designing rigorous A/B tests (including sample size, duration, and guardrails), and interpreting results honestly. It helps PMs move from vague beliefs to clear, data-backed decisions: Ship, Iterate, or Kill.

idea-os is a comprehensive, five-phase pipeline designed to transform a raw, abstract idea into a fully structured, build-ready plan. It guides users through Triage, Clarification, Deep Research, detailed PRD creation (including non-goals and metrics), and finally, a phased execution plan. The system adapts its complexity and vocabulary to the user's sophistication level, providing everything from foundational market analysis to actionable technical stack recommendations.

This skill automates the creation of professional, animated walkthrough videos from static app designs. It retrieves screen assets from Stitch projects and utilizes Remotion's advanced video composition capabilities to generate polished product demonstrations. Features include smooth transitions, contextual zooming, and animated text overlays, making it ideal for UX reviews, product marketing, and design portfolios.

A structured skill for creating single-file, horizontal-swipe HTML decks. Ideal for product overviews, pitch decks, and study materials when a clean, minimalist aesthetic is required. The workflow emphasizes mastering slide rhythm and adhering to design tokens for professional results.

This expert skill helps design optimal pricing and monetization strategies for SaaS and digital products. It guides users through value-based pricing, packaging structure, and pricing metrics. By utilizing advanced research methods like Van Westendorp and MaxDiff, users can determine optimal price points, tier structures, and pricing models to maximize Customer Lifetime Value (LTV) and Average Revenue Per User (ARPU).

This skill is designed for conducting comprehensive production audits. It helps users systematically check processes, identify quality gaps, and ensure compliance standards are met in a production environment. (Note: The provided content is a translation placeholder.)

This skill guides users through advanced product monetization strategies, specializing in SaaS pricing. It covers defining value metrics (e.g., per user, per usage), structuring tiered plans (Good-Better-Best), and implementing value-based pricing models. Use this when designing pricing pages, optimizing revenue, or planning price increases based on market research methods like Van Westendorp.

A comprehensive skill for commercial teams, product marketers, and CMOs designing or revising product pricing. It helps determine the optimal pricing model (e.g., usage-based, subscription, value-based), calculates acceptable price ranges using Van Westendorp PSM data, and structures effective Good/Better/Best packaging tiers. It provides strategic direction and risk detection, recommending models and ranges rather than fixed numbers.

This skill operates as a blunt, market-obsessed operating system, emulating the rigorous thought process of Marc Andreessen. It is designed to pressure-test ideas, ventures, and product strategies by strictly adhering to market-first principles (Market > Team > Product) and focusing solely on achieving Product/Market Fit (PMF). It rejects platitudes, refuses to validate premises, and is ideal for determining if a business concept has real market traction or if the venture is fundamentally flawed.

This meta-skill is designed for generating comprehensive competitive intelligence briefs for sales, business development, and strategy teams. It monitors signals across various dimensions (pricing, product, leadership, funding, etc.) for specified competitors or targets over a defined time window. It helps track changes against a baseline and provides actionable recommendations, moving beyond simple raw data dumps.

This comprehensive canvas guides teams through developing robust AI-powered features. It ensures product decisions are rigorous by covering problem definition, model selection (LLM, RAG, etc.), data governance, evaluation metrics, user experience design (including fallbacks), and responsible AI compliance. Ideal for assessing AI readiness and preventing common product failures.

This skill transforms vague feature briefs or Product Requirement Documents (PRDs) into highly structured design handoff briefs. It ensures designers have comprehensive context before starting work, including the core user goal, emotional context, critical technical constraints, necessary edge cases, and clear scope boundaries, preventing misdirection and scope creep.