Loading...
Loading...
Found 41 Skills
基于极目数据的亚马逊商品发掘与潜力爆品挖掘。当用户提到产品挖掘、潜力爆品、高转化选品、点击增长分析、市场增长机会、关键词选品、FBA利润筛选、细分市场商品发掘、卖家来源筛选、product mining, potential bestsellers, high-conversion product selection, market growth opportunities, Jiimore data, FBA profitability screening, keyword-based product selection时触发此技能。即使用户未明确提及"极目"，只要其需求涉及基于转化率、点击量和利润指标的亚马逊关键词驱动选品，也应触发此技能。
Product discovery and market research expert. Use when validating product ideas, conducting market research, user interviews, competitive analysis, or opportunity assessment. Covers JTBD, Kano model, and Value Proposition Canvas.
Expert product discovery guidance for user research and problem validation. Use when conducting user interviews, validating problems, applying jobs-to-be-done framework, sizing opportunities, customer segmentation, competitive analysis, prototype testing, usability testing, designing surveys, or synthesizing research insights. Covers discovery sprints, continuous discovery, and research operations.
Build products customers actually want. Apply Marty Cagan's Silicon Valley-tested framework to discover solutions that are valuable, usable, feasible, and viable. Use when: **New product development** when validating what to build; **Feature prioritization** to ensure you're solving real problems; **Pivot decisions** when current direction isn't working; **Team alignment** on what problems to solve; **Risk reduction** before committing development resources
Use this skill when applying Jobs-to-be-Done, building opportunity solution trees, mapping assumptions, or validating product ideas. Triggers on product discovery, JTBD, jobs-to-be-done, opportunity solution trees, assumption mapping, experiment design, prototype testing, and any task requiring product discovery methodology.
Use when validating product opportunities, mapping assumptions, planning discovery sprints, or testing problem-solution fit before committing delivery resources.
Use when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) — this is the research-ops method + insight-repository layer.
Plan the UX and UI for a feature before writing code. Runs a structured discovery interview, then produces a design brief that guides implementation. Use during the planning phase to establish design direction, constraints, and strategy before any code is written.
Trending product discovery — viral product analysis, category trends, seasonal opportunities on TikTok
Guide product managers through a complete discovery cycle—from initial problem hypothesis to validated solution—by orchestrating problem framing, customer interviews, synthesis, and experimentatio
Customer interview question bank and synthesis templates for product discovery.
Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments. Based on Teresa Torres' Continuous Discovery Habits. Use when structuring discovery work, mapping opportunities to solutions, or deciding what to build next.