Skill UI

This tool functions as an expert competitive intelligence analyst. It takes a list of competitor URLs and generates comprehensive, structured profile documents. It combines live site scraping (e.g., features, pricing, value prop), SEO metrics, and third-party review data (G2, Capterra) to provide deep, actionable insights. Ideal for market research, product comparison, and strategic competitive planning.

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 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 guide provides expert strategies for designing comprehensive SaaS pricing models and monetization strategies. It covers value-based pricing, selecting optimal value metrics (e.g., per user, per usage), structuring tiered plans (Good-Better-Best), and conducting market research using methods like Van Westendorp. Use this when optimizing revenue, designing packaging, or determining how to charge for a product or service.

This skill provides a rigorous, operational framework for product and user research. It helps researchers select the appropriate study method (generative, evaluative, validation) based on goals and product stages. It also calculates defensible sample sizes and saturation levels, and synthesizes raw observations into governed, evidence-based insights, ensuring all findings are rooted in cross-participant recurrence.

This powerful orchestrator guides the planning, funding, scoping, and synthesis of enterprise research across four critical domains: clinical R&D, finance, market analysis, and product usability. It acts as a central hub, routing complex inquiries to specialized sub-skills and generating structured digests with actionable insights and critical 'grill challenges' for operational rigor.

This skill generates a comprehensive customer journey map, detailing the entire customer experience from initial awareness through to advocacy. It identifies key stages, customer actions, emotional highs and lows, critical pain points, and actionable opportunities for product improvement or service enhancement. Ideal for UX research, product discovery, and cross-functional alignment.

This skill generates a comprehensive discovery call brief designed for sales professionals. Users input prospect details and product info, and the AI outputs a structured guide including market research summaries, hypotheses about pain points, deep-dive questioning frameworks, and clear success criteria. It ensures every sales conversation is strategic, context-driven, and leads to a defined next step.

This skill guides product teams beyond listing features by applying the Jobs-to-be-Done (JTBD) framework. It maps customer needs across functional, emotional, and social dimensions, allowing teams to write precise job stories. Use this to conduct deep user research, identify core pain points, and define product opportunities based on user outcomes rather than mere outputs.

This skill synthesizes user signals gathered from diverse sources—such as interviews, support tickets, NPS verbatims, app reviews, and sales calls—into a single, weighted, and comprehensive insight brief. It moves beyond surface-level feature requests to surface the core underlying user needs, identifies contradictions (divergence), and assigns confidence ratings based on source diversity and weight. Ideal for product managers and UX researchers needing to reconcile complex, mixed data sets.

This skill synthesizes raw user interview transcripts into structured research findings. It identifies core themes, pain points, workflow insights, and actionable product implications. Use this when analyzing qualitative research notes to derive evidence-based product recommendations and next steps for development teams.

This skill analyzes raw user research data—including transcripts, survey results, and feedback—and synthesizes it into a structured, actionable report. It identifies key themes, quantifies prevalence, pinpoints critical pain points, prioritizes feature requests, and provides strategic, evidence-backed recommendations for product improvement and development.