Skill UI

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.

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.

Guides product teams through adaptive prompts to build two-dimensional user story maps that capture backbone activities, user tasks, and release slices for clearer priorities and incremental release planning.

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.

Guide PM interview candidates through a six-part spoken structure—clarify, rationale, goal, segmentation, pain points, solution—to craft thoughtful product-sense answers for design, improve, or build-next prompts without jumping to solutions too early.

This mode simulates a P9 Tech Lead role, specializing in strategic project management and complex task orchestration. It does not write code itself, but focuses on generating detailed, structured Task Prompts (six elements) and managing the entire workflow delivery from multiple specialized agents (P8 teams). Ideal for coordinating large, complex projects requiring strategic decomposition and coordination of three or more parallel agents.

This guide provides expert CRO strategies for optimizing in-app monetization moments, such as paywalls, upgrade modals, and upsell prompts. It covers the entire user journey from freemium conversion and usage limit management to trial expiration. Learn core principles like 'Value Before Ask' and how to design friction-free, high-converting components to maximize paid adoption.

Builds a structured audit trail of AI-assisted legal tasks. Documents prompts, uploaded materials, outputs, human verification steps, and final reliance. Helps legal teams reconstruct workflows for supervision review and later defense without inventing facts or prejudging privilege.