usability-testing
Design and plan usability tests - task creation, think-aloud protocols, moderator scripts, metrics definition, and analysis frameworks.
Design and plan usability tests - task creation, think-aloud protocols, moderator scripts, metrics definition, and analysis frameworks.
Design Thinking methodology for human-centered innovation. Covers the 5-phase IDEO/Stanford d.school approach (Empathize, Define, Ideate, Prototype, Test) with workshop facilitation and exercise templates.
Plan accessibility compliance - WCAG 2.2, Section 508, EN 301 549, inclusive design principles, audit planning, and remediation strategies.
分析会议记录和录音,以发现行为模式、沟通洞察和可行的反馈。识别您何时避免冲突、使用填充词、主导对话或错过倾听的机会。非常适合寻求提高沟通和领导技能的专业人士。
Plan prototyping approach - fidelity levels, tool selection, prototype types, testing strategies, and design-to-development handoff.
Conduct heuristic evaluations - Nielsen's 10 heuristics, severity ratings, expert review methodology, cognitive walkthrough, and usability inspection.
通过分析您的业务、搜索目标公司并提供可行的联系策略,为您的产品或服务识别高质量潜在客户。非常适合销售、业务开发和营销专业人士。
Create and validate product requirements documents (PRD). Use when writing requirements, defining user stories, specifying acceptance criteria, analyzing user needs, or working on product-requirements.md files in docs/specs/. Includes validation checklist, iterative cycle pattern, and multi-angle review process.
Requirement gathering techniques, stakeholder analysis, user story patterns, and specification validation. Use when clarifying vague requirements, resolving conflicting needs, documenting specifications, or validating requirements with stakeholders.
Interview techniques, persona creation, journey mapping, and usability testing patterns. Use when planning research, conducting user interviews, creating personas, mapping user journeys, or designing usability tests. Essential for user-research, requirements-analysis, and interaction-architecture agents.
実装戦略(垂直スライス、水平、ハイブリッド)をリスク評価で選択。機能の実装計画時に使用。
Selects implementation strategy (vertical slice, horizontal, or hybrid) with risk assessment. Use when planning feature implementation.
Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes
引导用户通过结构化的工作流程来协作撰写文档。当用户想要撰写文档、提案、技术规格说明、决策文档或类似的结构化内容时使用。这个工作流程帮助用户高效地传递上下文信息、通过迭代优化内容,并验证文档对读者是否有效。当用户提到撰写文档、创建提案、起草规格说明或类似的文档任务时触发。
Comprehensive backend development workflow that orchestrates expert analysis, architecture design, implementation, and deployment using the integrated toolset. Handles everything from API design and database architecture to security implementation and DevOps automation.
Professional, skeptical communication style. Never over-enthusiastic, verifies before agreeing, challenges constructively, proposes instead of asking preferences. Expert peer who coaches, not serves.
Spec-driven development workflow for building features with research, requirements, design, and task phases
McKinsey顾问式问题解决系统。从商业问题出发,通过假设驱动的结构化分析方法,生成McKinsey风格研究报告和PPT。融合Problem Solving方法论、MECE原则、Issue Tree拆解、Hypotheses形成、Dummy Page设计、智能数据收集和专业PPT生成能力。
This skill should be used when evaluating UI components against UX best practices. Use for reviewing buttons, navigation elements, spacing, visual hierarchy, or any interface element. Provides a systematic 3-dimension framework (Position, Visual Weight, Spacing) aligned with industry standards (Balsamiq, Nielsen heuristics). Invoke when user asks to "review UX", "check button design", "evaluate layout", or references design guidelines.
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning. Calculate retention rates, build survival curves, predict churn risk, and generate retention optimization strategies. Use when working with user subscription data, membership information, or when user mentions retention, churn, survival analysis, or customer lifetime value.
基于RFM模型和回归算法的客户生命周期价值(LTV)预测分析工具,支持电商和零售业务的客户价值预测。使用时需要客户交易数据、订单历史或消费记录,自动进行RFM特征工程、回归建模和价值预测。