Skill UI

This tool provides comprehensive competitive intelligence by scraping and analyzing data from major online platforms, including Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. It extracts structured data on competitors' content, pricing, ad strategies, review sentiment, and market positioning. Ideal for market researchers, product managers, and marketing strategists who need deep benchmarks across multiple digital channels to refine their own strategy.

A comprehensive tool for scraping e-commerce platforms to extract critical business data. Users can monitor product pricing, track competitor offers, analyze customer reviews for sentiment, and discover seller intelligence across various marketplaces. Ideal for market research, competitive analysis, and brand monitoring.

A comprehensive toolkit designed to professionalize LLM prompt workflows. It moves prompts from ad-hoc drafts to measurable, production-ready assets through A/B testing against structured test cases, immutable version tracking, and governance guidelines. Essential for marketing teams needing verifiable quality and safety for AI-generated content.

Generate a customer journey map covering awareness through loyalty, capturing actions, touchpoints, emotions, KPIs, goals, and team owners to surface pain points, align functions, and guide measurable experience improvements.

Guides PMs through a full discovery cycle—from framing a hypothesis to validating solutions—by combining problem definition, customer interviews, synthesis, and experiments so teams can test assumptions before investing in build work.

Step-by-step guidance and a template for composing empathetic end-of-life announcements that explain the rationale, outline customer impact, present support plans and timelines, and offer clear next steps when retiring products or features.

Assess proposed pricing moves by analyzing ARPU/ARPA shifts, conversion and churn risks, NRR/expansion effects, and CAC payback to decide whether a price increase, new tier, discount, or add-on should ship.

Guides product leaders through Jeff Gothelf's Lean UX Canvas v2 to turn business problems into aligned experiments, surface assumptions, and document learning goals before investing in features.

Guides product managers from stakeholder requests to structured Opportunity Solution Trees by extracting outcomes, enumerating opportunities, mapping solutions, and evaluating experiments to select the best proof of concept before building.

Defines and documents Proof of Life probes—lightweight, disposable experiments that test a single risky hypothesis fast so teams learn harsh truth before building production software.

Guides product managers through choosing the right prioritization approach (RICE, ICE, Value/Effort, etc.) by asking adaptive questions about stage, team context, stakeholder needs, and decision cadence, then delivers tailored implementation guidance.

Creates assumption-based proto personas from available research, market signals, and stakeholder insights to align teams early in product development and surface validation gaps.