Skill UI

Guides teams through assessing business goals, designing measurement plans, and implementing GA4/GTM tracking so marketing and product decisions rely on validated events, UTM strategies, and clean conversions.

Guides teams through assessing business goals, designing measurement plans, and implementing GA4/GTM tracking so marketing and product decisions rely on validated events, UTM strategies, and clean conversions.

Auto-activating skill that guides business users through email parser setup, pattern design, and production-ready workflows for automating email handling and related business processes.

This architecture provides a scalable, production-ready framework for integrating AI candidate analysis with Juicebox. It manages automated data ingestion from job descriptions, ranks candidates using intelligent scoring, handles result caching, and facilitates seamless data export to major ATS platforms like Greenhouse and Lever. Designed for high-volume, complex hiring pipelines requiring data freshness, deduplication, and robust scaling.

A comprehensive toolkit designed for Product Heads to define, cascade, and align Objectives and Key Results (OKRs) across the entire organization. This tool supports quarterly strategic planning, allowing users to define company-wide goals, decompose them into product objectives, and further cascade them to specific team goals. It measures critical alignment scores (vertical, horizontal) and generates structured roadmaps for maximizing organizational excellence and strategic focus.

This comprehensive toolkit guides senior UX designers and researchers through the entire product development lifecycle. It covers generating data-backed personas, mapping user journeys, planning structured usability tests, and synthesizing raw research data into actionable design recommendations. Use it when conducting deep user research or validating product designs.

This skill is designed to streamline the process of market research. It helps users gather comprehensive data on target markets, analyze industry trends, and identify key consumer insights. Use it to inform product development, refine business strategies, and make data-driven decisions.

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.

Build a hierarchical user story map that lays out activities, steps, and tasks to visualize journeys, align product/design/engineering, prioritize MVP work, and surface experience gaps before backlog planning.

An expert guide for planning, designing, and implementing statistically rigorous A/B tests and product experiments. It covers core principles like formulating strong hypotheses, selecting primary/guardrail metrics, calculating sample sizes, and analyzing results to drive actionable business insights.

Advises product leaders on vision, portfolio management, PMF, org design, and metrics so they can prioritize investments, align teams, and report roadmap progress to the board.

Guides product and marketing teams to design in-app paywalls, upgrade prompts, and upsell modals that surface once users have experienced value, presenting clear benefits, frictionless paths, and respectful choices to convert free or trial accounts to paid tiers.