
Claude Skills by majiayu000
github.com/majiayu000quality-assurance for learning operations and program management.
Generate personalized content recommendations based on learner profiles, performance, preferences, and learning analytics. Use for adaptive learning systems, content discovery, and personalized guidance. Activates on "recommend content", "next best", "personalization", or "what should I learn next".
Validate compliance with regional data privacy laws (GDPR, CCPA, PIPEDA), accessibility requirements, age-appropriate content regulations, and copyright laws by jurisdiction. Use when ensuring legal compliance across regions. Activates on "GDPR", "data privacy", "regional compliance", or "legal requirements".
research-designer for evidence-based learning research and evaluation.
search-optimization for learning content management and knowledge systems.
Design live class sessions, workshops, webinars, and synchronous learning experiences with timing, activities, breakouts, and facilitation guides. Use when planning live instruction. Activates on "class plan", "workshop design", "live session", or "webinar planning".
simulation-designer for engaging, immersive learning experiences.
Design spaced repetition schedules, flashcard systems, and retrieval practice using algorithms like Leitner or SM-2 for long-term retention. Use for memory optimization. Activates on "spaced repetition", "flashcards", "retention", or "Anki-style".
study-skills for enhanced learning effectiveness and personal development.
Process learning resources from markdown files, extract content, identify clusters, and create Ship-Learn-Next learning paths
Implicit feedback scoring, confidence decay, and anti-pattern detection. Use when understanding how the swarm plugin learns from outcomes, implementing learning loops, or debugging why patterns are being promoted or deprecated. Unique to opencode-swarm-plugin.
Expert knowledge for categorizing learnings and routing them to appropriate improvement targets. Use when analyzing session learnings to determine where context improvements should be applied.
tech-selection for learning technology evaluation and implementation.
세션에서 새로운 기술/라이브러리/개념 학습 내용을 추출하여 TIL(Today I Learned) 문서로 정리. 독립 실행 또는 daily-work-logger의 서브 에이전트로 호출 가능. "학습 정리", "TIL", "오늘 배운 것", "learning" 등의 요청 시 자동 적용.
Claude Code 세션에서 새로운 기술/라이브러리/개념 학습 내용을 추출하여 TIL 문서로 정리. "학습 정리", "오늘 배운 것", "learning", "세션 요약" 등의 요청 시 자동 적용. TIL 레포지토리(~/dev/TIL)와 연동하여 자동으로 카테고리 분류 및 문서 생성.
training-needs for corporate and professional learning contexts.
Assess pedagogical equivalence of translations, check terminology consistency, validate educational accuracy in target language, and measure translation quality metrics. Use when validating translated educational content. Activates on "translation quality", "pedagogical equivalence", or "translation validation".
translation for inclusive and accessible learning experiences.
Provide personalized tutoring support with adaptive explanations, worked examples, hints, and misconception remediation. Use for one-on-one learning support. Activates on "tutor", "explain this", "I don't understand", or "help me learn".
universal-design for inclusive and accessible learning experiences.
Design comprehensive workshops from 1-hour to multi-day including activities, materials, facilitation guides, and participant handouts. Use for interactive training events. Activates on "workshop design", "training event", "interactive session", or "hands-on learning".
xr-design for learning technology evaluation and implementation.
Extracts reusable patterns from sessions. Use at session end to capture debugging insights and project-specific knowledge.
Historical record of expert tips and learnings that have been integrated into the plugin skills. Consult this when patterns emerge or to understand the evolution of knowledge.
Un sistema debe comportarse de manera que minimice la sorpresa del usuario. Si una función necesaria es inherentemente sorprendente, puede ser necesario rediseñar.
Un sistema debe comportarse de manera que minimice la sorpresa del usuario. Si una función necesaria es inherentemente sorprendente, puede ser necesario rediseñar.
When the user needs to communicate about approved leaves or excusals to instructors/TAs, including locating leave documents and sending reminder emails with attachments. This skill triggers when users mention 'excused assignments', 'leave documents', or need to remind instructors about approved absences. It handles document retrieval, email composition with proper context, and attachment management for official documentation.
You are the build system health expert for the Leavn iOS app.
Create clean, descriptive git commits for Leavn app following emoji prefix convention with comprehensive change summaries
Fix last few build errors aggressively, get clean build, commit everything, and prepare for ship in Leavn iOS app
Systematically test language switching, localization, RTL support, and content rendering across all supported languages in the Leavn iOS app. Gener...
Use this skill when optimizing Leavn's App Store presence, researching keywords, or responding to reviews.
Use this skill when creating devotional content, social media posts, or video scripts for Leavn marketing.
Use this skill when preparing releases, generating changelogs, or creating release announcements.
Use this skill when conducting competitor analysis, sentiment monitoring, or user research for Leavn.
Problem-solving strategies for lebesgue measure in measure theory
Transform textbook chapters into engaging, evidence-based lectures with Google Slides. Guides instructors through learning outcomes, narrative design, active learning activities, and slide creation via Google Docs MCP.
Generate comprehensive undergraduate lecture notes for social sciences (especially economics) with mathematical foundations, daily-life examples, and practice questions. Use when user asks to create, generate, or write lecture notes, lecture materials, or teaching content. Supports Turkish and English output, Obsidian-compatible markdown with LaTeX/TikZ, and optional syllabus integration.
Combines YouTube lecture transcripts with PDF slides to create an interactive HTML page. Matches each slide to corresponding transcript segments, organized by key concepts. Use when users want to create synchronized lecture notes from transcript text files and slide PDFs.
Visual guide for APC Mini MK2 LED and button mapping. Use when user needs to know "which button", "pad location", "LED position", "coordinate to note", "note to coordinate", or wants to understand the physical layout of the controller.
Reads /ledger/manifest.json, verifies per-ledger checksums, and returns the active ledger map. **Version:** 1.1 **Author:** Entropy Control Theory **License:** MIT **Based on:** Structure DNA v1.0 + PROFILE-GENERATOR-SPEC v1.0
Financial ledger - transactions, audit trails. Use when tracking money.
Manufacturing Intelligence — Leela AI applies MOOLLM to industry
Interactive LeetCode-style teacher for technical interview preparation. Generates coding playgrounds with real product challenges, teaches patterns and techniques, supports Python/TypeScript/Kotlin/Swift, and provides progressive difficulty training for data structures and algorithms.
技術的負債を評価
Backward compatibility bridge that translates legacy @load patterns to new Skills format. Enables seamless migration with zero breaking changes during 6-month transition period.
Expert system for identifying deprecated patterns, suggesting refactoring to modern standards (Python 3.12+, ES2024+), checking test coverage, and leveraging AI-powered tools. Proactively applied when users request refactoring, updates, or analysis of legacy codebases.
Use when modifying, removing, or refactoring code that lacks test coverage. Emphasizes the danger of untested changes and the RGR workflow to add characterization tests before modifications.
Comprehensive legacy codebase analysis skill for technical debt assessment, security vulnerability scanning, performance bottleneck detection, and modernization roadmap generation. Includes 7 Python tools for automated codebase inventory, architecture health analysis, and strategic modernization planning.
This skill should be used when migrating features from src.legacy/ to the new kernel implementation or removing legacy code after reaching feature parity. Use for systematic legacy code removal, updating FEATURE_COMPARISON.md, verifying feature equivalence, and ensuring safe code retirement.