Skill UI

An interactive tool designed to discover, select, and assemble specialized teams of AI agents. It supports structured agent collections across different domains (e.g., Engineering, Marketing). Users select multiple roles for a specific task, and the skill launches them in parallel, synthesizing their independent findings into a unified report, including consensus and conflict analysis.

This skill functions as a Narrative Psychologist, mapping and engineering the full emotional journey a customer must take across any content format (e.g., landing pages, email sequences, sales decks). It systematically designs the emotional progression—from the initial state (e.g., skepticism or anxiety) through controlled tension, relief, and anticipation—to the precise emotional state required for a desired action, ensuring the narrative flow is believable and persuasive.

This skill applies principles of behavioral psychology to redesign user onboarding flows. Instead of simple feature tours, it focuses on engineering the first-use experience to achieve 'early wins,' build competence, establish ownership, and trigger habit formation. Use it when the goal is to reduce user friction, combat early drop-off, and shift the user's self-perception from an outsider to an active participant.

This skill acts as a technical translator, helping Product Managers understand complex systems, codebases, APIs, and technical concepts. It goes beyond simply explaining technology by connecting technical details to real-world product implications (the 'so what'). It structures findings into summaries, workings, product impacts, and crucial questions for engineering, ensuring all insights are immediately actionable for product decisions.

This professional writing assistant specializes in creating clear, compelling, and highly structured documentation for Product Managers (PMs). It helps users draft, refine, and polish various deliverables—including product briefs, status updates, and executive emails—by adhering to best practices like leading with conclusions, maintaining extreme conciseness, and tailoring the tone to the specific audience (e.g., engineering team vs. executive leadership).

Provides C-level strategic guidance for startups deciding on advanced AI implementation. Covers critical decisions including model build-vs-buy analysis (API vs. fine-tune vs. in-house), regulatory compliance risk assessment (EU AI Act, NIST RMF), economic modeling for self-hosting breakeven, and optimal AI team scaling. This is a high-level advisory tool, not a tactical engineering guide.

Provides high-level strategic guidance for founders and Chief Data Officers (CDOs) in startups. This skill covers critical decisions such as AI training data rights and consent provenance, selecting optimal data architectures (warehouse, lakehouse, data mesh), valuing customer data as a strategic asset for M&A or fundraising, and planning data team organizational evolution. It focuses exclusively on strategic decision-making, not tactical engineering.