Build the Kaze macOS app using xcodebuild. Use this skill whenever the user asks to build, compile, or check if the Kaze project compiles successfully. Also use it when the user asks to fix build errors, verify changes compile, or run a debug build.
短剧制作技能。用于生成完整短剧作品，包括剧本编写、角色设计、9宫格分镜、故事板配置。每次运行生成1部作品（25集，每集30秒=上下两部分各15秒，每部分9宫格分镜）。关键词：短剧、影视、drama、剧本、分镜、storyboard、角色设计。
MV制作技能。根据歌曲歌词或已有MV剧本，结合用户提供的角色/场景参考图片（支持读取指定文件夹），生成完整MV分镜、故事板配置和Seedance视频生成任务。关键词：MV、音乐视频、Music Video、分镜、歌词、storyboard、视频生成。
System design and architecture expert for creating scalable distributed systems. Covers system design interviews, architecture patterns, and real-world case studies like Netflix, Twitter, Uber. Use when designing systems, writing architecture docs, or preparing for system design interviews.
Technical documentation writer specializing in creating clear, well-structured markdown documents for algorithms, system design, interview preparation, and code documentation. Use when writing README files, algorithm explanations, system design docs, or technical guides.
Expert Java developer for implementing LeetCode problems, data structures, and algorithms. Helps write clean, efficient Java code following best practices for competitive programming and interview preparation. Use when writing or implementing Java solutions.
Production Go patterns — lifecycle, concurrency, config, testing, CI. Use when writing, reviewing, or refactoring Go code. Triggers on Go code review, Go refactoring, or 'go best practices'.
Design engineering principles for making interfaces feel polished. Use when building UI components, reviewing frontend code, implementing animations, hover states, shadows, borders, typography, micro-interactions, enter/exit animations, or any visual detail work. Triggers on UI polish, design details, "make it feel better", "feels off", stagger animations, border radius, optical alignment, font smoothing, tabular numbers, image outlines, box shadows.
Review plans and code changes. Walks Architecture → Code Quality → Tests → Performance, numbering issues with tradeoff options. Triggers: "review", "review this", "code review", "look over this", "check my changes", "audit", "critique", "what do you think", "sanity check".
Build consistent, accessible UIs in Rails using maquina_components. Use this skill when implementing UI for features, creating views, building forms, or reviewing UI specs. Triggers on view creation, UI implementation, form building, layout design, or mentions of maquina_components usage.
Conduct comprehensive deep research on any topic using Dify-powered workflow - searches documentation, academic papers, tutorials, APIs, best practices, and returns structured analysis with insights.
새 프로젝트를 시작할 때 자동으로 PRD, CLAUDE.md, Wiki, 마일스톤을 생성하세요. "프로젝트 시작", "새 프로젝트", "init", "세팅", "setup", "시작하기", "프로젝트 만들어", "new project", "start project" 등에 트리거. 이전 프로젝트의 스킬과 주의사항을 자동으로 참고합니다.
Methodology for effective AI-assisted software development. Use when helping users build software with AI coding assistants, debugging AI-generated code, planning features for AI implementation, managing version control in AI workflows, or when users mention "vibe coding," Cursor, Windsurf, or similar AI coding tools. Provides strategies for planning, testing, debugging, and iterating on code written with LLM assistance.
Generate LESSONS.md retrospective files that capture institutional knowledge, especially failures. Use when closing out journalism projects, investigations, events, or publications. Includes templates for research projects, event post-mortems, editorial tools, and publications.
Choose the correct CLAUDE.md or LESSONS.md template for journalism projects. Use when starting a new project, setting up documentation, or unsure which template category fits best. Provides decision trees and selection guidance for 6 journalism-focused template types.
Generate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content. Use when educators need to define what students will achieve, create learning objectives for curriculum planning, or ensure objectives are specific and testable rather than vague.
Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learning objectives with appropriate difficulty progression. Creates exercise sets that apply cognitive science principles to maximize retention and skill development. Use when designing practice activities for Python concepts, creating homework assignments, generating problem sets, or evaluating exercise quality.
Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with foundational learning. NOT for curriculum without AI integration.
Creates assessments with varied question types (MCQ, code-completion, debugging, projects) aligned to learning objectives. Use when educators design quizzes/exams, need questions at appropriate Bloom's cognitive levels, want balanced cognitive distribution (60%+ non-recall), or require rubrics for open-ended questions.
Generate 50-question interactive quizzes using the Quiz component with randomized batching. Use when creating end-of-chapter assessments. Displays 15-20 questions per session with immediate feedback. NOT for static markdown quizzes.
Generate rigorous MIT PhD-level qualifying examinations from Markdown/Obsidian notes. This skill should be used when users request quiz creation, exam generation, assessment materials, practice questions, or study guides. Triggers on "create quiz", "generate exam", "make practice questions", "assessment", "test me on", or any request for educational testing materials from source content.
Generate MIT-standard certification exams (DOCX) for chapters or parts. Use "ch X" for single chapter, "part X" for entire part. Disambiguates scope before generation. Outputs to assessments/ directory.
Design progressive learning sequences that build foundational understanding before complexity. Use when breaking complex concepts into steps, managing cognitive load, or validating prerequisite understanding. Applies Bloom's progression and tier-based cognitive limits (CEFR A1-C2).
