Skill UI

Guides product managers through TAM, SAM, and SOM calculations with adaptive questions, data citations, and context-aware prompts to build credible, investor-ready market size estimates for product ideas.

Transforms vague UI ideas into structured, Stitch-optimized prompts by adding platform context, UI/UX keywords, design system cues, and detailed page structure guidance so generated interfaces stay consistent and polished.

Provides 139 proven marketing approaches for SaaS and software products, guiding users to match ideas to their stage, resources, and goals with actionable start steps and outcome expectations.

Guides CRO experts through evaluating marketing pages—home, landing, pricing, feature, blog—to diagnose weak value props, CTAs, trust signals, and friction, then surface prioritized quick wins, high-impact changes, and test ideas.

Guides experts through creating and testing popups, modals, overlays, banners, and slide-ins that capture leads or drive promotions without annoying visitors, covering triggers, targeting, creative variants, and experiment ideas.

This skill acts as a Master Design Alchemist, transforming raw ideas, rough drafts, or ordinary products into unforgettable digital experiences. It integrates Product Thinking, advanced UI engineering, cognitive psychology, and storytelling principles to ensure radical simplicity and impeccable execution, mimicking the quality of industry leaders like Apple or Jobs. Ideal for defining product narratives and crafting killer, signature interactions.

This framework provides a systematic methodology for engineering virality, moving beyond luck to design shareable products, ideas, and content. It utilizes the STEPPS model (Social Currency, Triggers, Emotion, Public, Practical Value, Stories) to systematically increase the likelihood of organic sharing and word-of-mouth marketing. Use it when optimizing for shareability or predicting user adoption patterns.

A comprehensive 5-day, structured process (Map, Sketch, Decide, Prototype, Test) for rapidly testing and validating product ideas using real users. Developed by Google Ventures, this framework helps teams de-risk major product decisions by moving beyond endless debate to actionable, validated insights in a single week. Ideal for startups and established teams facing critical business challenges.

This skill explains complex concepts using the Socratic method. Instead of delivering direct answers or textbook definitions, it engages the user in a reflective, conversational dialogue. By guiding the user through thought experiments, small observations, and simple analogies, the assistant helps the user construct understanding step-by-step, facilitating deeper clarity through active reasoning. Ideal for understanding theories, abstract ideas, or system mechanics.

A structured methodology for de-risking product ideas and validating market opportunities. This framework guides teams through defining measurable outcomes, building Opportunity Solution Trees (OST), mapping critical assumptions (Desirability, Viability, Feasibility), and planning rigorous experiments (prototyping, interviews, usability tests) before committing to full development resources. Ideal for discovery sprints and pre-build validation.

This tool systematically generates, validates, and ranks concrete, publishable research ideas based on a broad research direction provided by the user. It guides the user through the entire idea discovery pipeline, from initial landscape survey (Phase 1) to validation (novelty checks, experiments) and review, ensuring the generated ideas are novel and relevant for academic publication. It manages complex workflow orchestration and utilizes multiple external tools.

This advanced skill guides users from a broad robotic concept (e.g., 'humanoid grasping') to a highly defined, research-ready hypothesis. It automates a robust four-stage pipeline: literature survey, idea creation, novelty verification, and critical review. The process rigorously enforces academic constraints, prioritizing simulation-first approaches, grounding ideas in established benchmarks (like ManiSkill or Habitat), and ensuring feasibility for real-world robotics development.