Skill UI

This skill guides users through structured workshops to define comprehensive product features from scratch. It adopts dual perspectives (Product Manager and Developer) to gather detailed requirements, user stories, and non-functional needs. The output includes EARS-formatted functional requirements, testable acceptance criteria (Given/When/Then), and detailed implementation checklists, ensuring the feature is complete and ready for development.

This meta-skill converts messy meeting inputs—such as transcripts, rough notes, or recordings—into highly structured, actionable outputs. It automatically extracts key decisions, assigns owners, generates follow-up tasks, and creates drafts for popular collaboration platforms like GitHub, Trello, or Notion, ensuring continuity from discussion to execution.

This meta-skill is designed to convert complex web research requests into polished, structured, and source-cited deliverables. Use it when you need a market briefing, technical report, or decision memo that requires deep web lookup and scholarly citation. It orchestrates the entire process, including preference inference, multi-source search, drafting, and optional DOCX export, ensuring the output is authoritative and actionable.

This comprehensive skill generates a structured competitive analysis document for any product or market. It is ideal for strategic planning, creating investor decks, or sales enablement. The output includes a positioning map, detailed feature comparison table, messaging gap analysis, SWOT summary, and actionable strategic recommendations to define your market edge.

This skill generates a comprehensive discovery call brief designed for sales professionals. Users input prospect details and product info, and the AI outputs a structured guide including market research summaries, hypotheses about pain points, deep-dive questioning frameworks, and clear success criteria. It ensures every sales conversation is strategic, context-driven, and leads to a defined next step.

Transforms complex financial model outputs (P&L, balance sheet figures) into clear, structured, and compelling written narratives. Ideal for preparing board packs, investor updates, or executive management reports by translating mere numbers into actionable stories. The output provides headline insights, detailed driver analysis, variance explanations, and robust forward-looking commentary tailored to specific audiences.

This skill generates a comprehensive metrics framework for any product, team, or business. It connects the North Star Metric to supporting drivers using established models like AARRR, HEART, or OKR. The output is a structured, actionable metric hierarchy, including definitions, counter-metrics, and dashboard recommendations to guide strategic decision-making.

A specialized skill for creating highly structured, measurable, and strategically aligned Objectives and Key Results (OKRs). It guides product teams, startups, and departments in setting ambitious goals by defining clear objectives and quantitative key results. It actively flags common anti-patterns, such as vanity metrics or output-based goals, ensuring all KRs are measurable and tied back to the company's North Star metric.

This skill applies the RICE framework (Reach, Impact, Confidence, Effort) to objectively score and rank product initiatives. It helps teams prioritize backlogs, plan quarters, and compare multiple competing ideas by providing a structured, data-driven ranking. The output identifies quick wins, high-risk moonshots, and critical data gaps for validation.

This skill guides users through transforming a raw product backlog into a highly structured and actionable sprint plan. It generates a clear Sprint Goal, calibrates the backlog scope based on team velocity and capacity, provides a detailed capacity plan, identifies potential risks, and outputs a comprehensive meeting agenda. It ensures the resulting sprint is achievable, outcome-focused, and adheres to best practices (e.g., 80% commitment rate).

This skill implements a continuous improvement feedback loop (Part 12). It aggregates signals from market shifts, customer feedback, competitive intelligence, and internal operations. The output provides structured recommendations to refine the brand's product offering, business strategy, and channel mix, ensuring marketing efforts remain relevant and adaptive. Used continuously, especially during Quarterly Business Reviews (QBRs).

This tool allows users to define and import custom templates for various marketing deliverables, such as proposals, performance reports, content briefs, and campaign plans. By establishing a structured template, the system ensures that all generated outputs adhere to the brand's specific formatting rules, section requirements, and content formats, making the output consistent and professional across different campaigns.