Skill UI

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).

A decision-grade research skill that generates a comprehensive, hypothesis-tested dossier on any entity (company, person, etc.). Unlike generic summaries, it forces the user to state a pre-existing hypothesis, then rigorously searches for evidence that validates or disproves it. The output is an editable report containing key facts, red flags, 12-month timelines, network signals, and actionable conversation hooks, making it ideal for investment, due diligence, or high-stakes meetings.

Pulse is an advanced research skill designed to synthesize the current conversation surrounding any topic. It aggregates data from multiple sources—including Reddit, Hacker News, the open web, and X/Twitter—within a specified time window. By forcing the user to define specificity, angle (trend, sentiment, problems), and scope, it delivers a highly structured briefing complete with citations and cross-platform pattern analysis. Ideal for competitive intelligence, market trend discovery, and deep audience sentiment analysis.

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.