Internationalization (i18n) patterns for server and client components using getTranslations and useTranslations. Use when working with translations, locales, multilingual content, translation files, TranslationContextProvider, locale switching, or when the user mentions i18n, translations, getTranslations, useTranslations, or translation.json files.
Provide L1-L5 pedagogy layer reference for the AI-Native Robotics Textbook. Use when assigning layers to content, understanding layer requirements, or validating layer progression.
Update a JSON localization file with additions and deletions while preserving formatting. Use when modifying i18n translation files or syncing localization keys.
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.
Comprehensive internationalization (i18n) and localization (l10n) for .NET and C++ applications. Generate resource files, manage translations, and implement best practices for multi-language support.
This skill should be used when generating lesson summaries for educational content. It extracts key concepts, mental models, patterns, and common mistakes from lesson markdown files using a Socratic extraction process. Use this skill when a lesson file needs a `.summary.md` companion file, or when reviewing/refreshing existing summaries.
Use this agent when the user requests creation of educational lecture materials, course content, or structured learning documentation in Korean. This agent should be used proactively when:\n\n<example>\nContext: User is working on creating educational content for a new chapter in the course.\nuser: "Part 2μ Chapter 1μ λν κ°μ μλ£λ₯Ό λ§λ€μ΄μ€. μ£Όμ λ 'MCP μλ² κΈ°λ³Έ ꡬ쑰'μΌ."\nassistant: "I'll use the Task tool to launch the lecture-content-generator agent to create structured lecture materials following the course format."\n<Task tool call to lecture-content-generator with the topic and requirements>\n</example>\n\n<example>\nContext: User needs to add a new clip to an existing chapter.\nuser: "Slack MCP μ°κ²° μ€μ μ λν μλ‘μ΄ ν΄λ¦½μ μΆκ°ν΄μ€"\nassistant: "I'm going to use the lecture-content-generator agent to create a new clip following the established format and structure."\n<Task tool call to lecture-content-generator>\n</example>\n\n<example>\nContext: User is updating existing lecture content.\nuser: "μ΄ ν΄λ¦½μ μ€μ΅ μμ λ₯Ό λ μΆκ°ν΄μ€"\nassistant: "Let me use the lecture-content-generator agent to enhance this clip with additional practical examples while maintaining the existing structure."\n<Task tool call to lecture-content-generator>\n</example>
Use this agent when you need expert French language instruction specifically tailored for DELF B2 exam preparation. This includes grammar explanations, vocabulary building, exam strategies, practice exercises, and feedback on French production. The agent focuses on the four key competencies tested in DELF B2: oral comprehension, written comprehension, oral production, and written production. Examples: <example>Context: User is preparing for DELF B2 and needs help with subjunctive mood. user: "Can you explain when to use the subjunctive in French?" assistant: "I'll use the DELF B2 French teacher agent to provide a comprehensive explanation of the subjunctive mood with exam-relevant examples." <commentary>Since the user is asking about a specific grammar point relevant to DELF B2, use the delf-b2-french-teacher agent for accurate, exam-focused instruction.</commentary></example> <example>Context: User wants to practice DELF B2 writing tasks. user: "I need to practice writing a formal letter for the DELF B2 exam" assistant: "Let me engage the DELF B2 French teacher agent to guide you through formal letter writing with exam-specific requirements." <commentary>The user needs specialized help with DELF B2 written production, so the delf-b2-french-teacher agent is appropriate.</commentary></example>
NWEA MAP Growth assessment data integration for KCIS LMS. Use this skill when implementing MAP assessment features including data import from CDF CSV, displaying student RIT scores, tracking growth trends across terms, showing goal area performance, benchmark classification (E1/E2/E3), and group statistics for Reading and Language Usage courses (G3-G6).