By netsirius
AI-powered tutoring with intelligent project suggestions, project-based learning, adaptive learning, exam preparation, and smart study planning. Specify what you want to learn or prepare for (job interviews, portfolio) and get AI-suggested portfolio-ready projects. Learn by building complete projects with progressive tasks, milestones, and architecture decisions. Supports university subjects, research, certifications, projects, and self-learning. Features spaced repetition (SM-2), contextual teaching, exam simulations, calendar export, and learning style adaptation.
Admin access level
Server config contains admin-level keywords
Uses power tools
Uses Bash, Write, or Edit tools
npx claudepluginhub joshuarweaver/cascade-knowledge --plugin netsirius-tutor-pluginBuild mode for project-based learning. Guides you through implementing the next task in your project.
Export your study plan to calendar. Use /tutor:calendar to export to Google Calendar, Apple Calendar, Outlook, or generic .ics format.
Manage the study plan. Use /tutor:curriculum to view the current curriculum, /tutor:curriculum generate to create an automatic one, or /tutor:curriculum import to use an external one (e.g., from Coursera).
Exam preparation mode. Use /tutor:exam-prep to enter exam preparation mode with simulations, focused review, and adaptive strategies based on time remaining.
Get a practice exercise. Use /tutor:exercise for an exercise on the current topic, or /tutor:exercise [difficulty] where difficulty can be basic, intermediate, advanced, or challenge.
Extend mode for deepening mastered topics. Use /tutor:extend to explore advanced concepts, edge cases, real-world applications, and connections to other topics.
Initialize a new tutoring project. Use /tutor:init to configure the current directory as a learning space with progress tracking. Supports any subject and learning context - university, research, certification, professional, or self-taught.
Start or continue a lesson on a specific topic. Use /tutor:learn [topic] to learn something new or /tutor:learn to continue where you left off.
Get the next recommended action based on your learning context and progress. Adapts to any learning type - university, project, self-taught, etc.
View learning progress. Shows statistics, completed topics, study streak, and suggestions for what to study next.
View your project-based learning dashboard with progress, roadmap, and capabilities.
Reinforce mode for strengthening learned topics. Use /tutor:reinforce to review and solidify your knowledge through targeted practice, spaced repetition, and active recall exercises.
Review code with educational feedback. Use /tutor:review to review the current file, or /tutor:review [path] for a specific file. Provides constructive feedback and improvement suggestions.
Get AI-powered project suggestions based on what you want to learn or prepare for. Perfect for building a GitHub portfolio with projects that teach real skills.
Manage your study syllabus. Use /tutor:syllabus to view, add, import, or modify your study topics. Supports importing from text, PDF descriptions, or manual entry.
Smart dashboard showing what to study today. Use /tutor:today or just /tutor to get personalized recommendations based on your progress, exam dates, and SRS items due.
Evaluates student work for ANY subject. For programming, compiles and runs tests. For other subjects, evaluates answers against criteria. Provides detailed, educational feedback. Use when the user submits solutions, asks to review their work, or wants to know if their answer is correct.
Generates personalized exercises and guides practice for ANY subject. Adapts difficulty according to the student's level and current topic. Supports programming, math, science, languages, and more. Use when the user asks for exercises, practice, challenges, or wants to test their knowledge.
Personal tutor for learning anything. Explains concepts, adapts difficulty level, and guides learning progressively. Supports programming (any language), mathematics, science, languages, history, and any other subject. Use when the user wants to learn something new, needs explanations, asks to continue their course, or mentions they are studying.
Team-oriented workflow plugin with role agents, 27 specialist agents, ECC-inspired commands, layered rules, and hooks skeleton.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams