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Found 16 Skills
Creates personalized learning paths for technologies, frameworks, or concepts. Use for user-interactive session only for onboarding new technologies, hackathon skill-building, or personal development planning. Not for use in automated development or investigation. Sequences resources (docs, tutorials, exercises) based on current skill level and learning goals. Adapts to learning style: hands-on, theory-first, project-based.
Generates structured, career-focused modular curriculums for software engineering students. Use when designing new educational modules or tailoring learning journeys to specific career roles.
Build a personalized learning roadmap with milestones and practice checkpoints
Deep learning learning path: recommendations for book lists, courses, practical projects, and how to conduct experiments step by step.
Assess and analyze developer skill growth and progression. Identifies capability gaps, learning paths, and mastery levels across technology domains.
Transforms technical documents into rigorous learning journeys with collegiate-level mastery requirements. Uses Bloom's taxonomy progression, 80%+ mastery thresholds, and multi-level verification before advancing. Treats learning as a high school to college graduation progression. Use when user wants deep understanding, not surface familiarity.
Эксперт по планам развития. Используй для создания IDP, competency mapping, skill assessments и learning pathways.
Comprehensive Claude Code self-assessment and learning path advisor. Runs a multi-category quiz covering 10 feature areas, produces a detailed skill profile with per-topic scores, identifies specific gaps, and generates a personalized learning path with prioritized next steps. Use when asked to "assess my level", "take the quiz", "find my level", "where should I start", "what should I learn next", "check my skills", "skill check", or "level up".
진단 대화 시작점. 학습자의 직무/경력/AI 경험/사전 지식/학습 목적을 5문항으로 파악하고 학습 경로를 제안할 때 사용.
Learn about football analytics concepts and explore provider documentation. Use when the user asks what a metric means (xG, PPDA, expected threat, xT), wants learning resources, papers, or courses, is new to football analytics, or wants a learning path. Also use when the user asks about data provider documentation — qualifier IDs, coordinate systems, event types, API schemas, field mappings — or wants to compare providers, look something up in the docs, or find out what data a provider offers.
Interactive quiz that maps your AI/ML knowledge to a starting point in the 260-lesson, 20-phase AI Engineering from Scratch curriculum. Trigger phrases: "where should I start", "find my level", "what do I know", "which phase", "assess my knowledge", "placement test", "skip ahead"
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