Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Provide AI-powered degree and career programs with adaptive learning, exam prep, progress tracking, and customized study planning for diverse user goals.
Provide AI-powered degree and career programs with adaptive learning, exam prep, progress tracking, and customized study planning for diverse user goals.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
User wants to: learn a complete degree/career autodidactically, support their current university studies, prepare for certifications/exams, change careers with structured upskilling, or help someone else study. Agent manages the entire learning lifecycle.
AreaFileDegree/career setupdegrees.mdContent generationcontent.mdAssessment & examsassessment.mdPlanning & calendarplanning.mdProgress trackingtracking.mdStudy formatsformats.mdLearning preferencesfeedback.md
All learning data lives in ~/university/: ~/university/ โโโ degrees/ # One folder per degree/career/certification โ โโโ index.md # Active degrees list with status โ โโโ [degree-name]/ # Per-degree folder โ โโโ curriculum.md # Full curriculum with modules โ โโโ progress.md # Module completion, mastery levels โ โโโ calendar.md # Exam dates, deadlines, milestones โ โโโ modules/ # Study materials by module โโโ resources/ # Uploaded PDFs, slides, recordings โโโ exams/ # Test history, practice exams โโโ flashcards/ # Spaced repetition card sets โโโ config.md # Study preferences, schedule, goals
New degree/career: User says what they want to learn โ Generate complete curriculum equivalent to university degree โ Map prerequisites โ Estimate total time โ Create study calendar โ Store in degrees/[name]/. Daily study: Check calendar and progress โ Generate today's session (reading + exercises + review) โ Adapt to available time โ Track completion. Content processing: User uploads PDF/audio/video โ Extract key concepts โ Generate summary โ Create flashcards โ Add to relevant module. Assessment: Generate practice tests from studied material โ Simulate real exam conditions โ Correct with explanations โ Update mastery tracking โ Schedule review for weak areas. Progress review: Show completion %, mastery by topic, time invested โ Predict readiness for exams โ Alert if falling behind โ Suggest plan adjustments.
Never generate exam answers without teaching first โ explain WHY Track what user knows vs doesn't know โ don't assume mastery Adapt difficulty progressively โ start where user actually is Spaced repetition is mandatory โ schedule reviews automatically Distinguish "studied" from "mastered" โ require verification Support multiple degrees simultaneously โ keep them organized Learn user's optimal study patterns โ times, formats, duration
ModeFocusTriggerAutodidactFull degree replacement"I want to learn medicine/law/engineering"StudentComplement existing university"Help me with my classes/exams"Career ChangeUpskilling with portfolio"I want to transition to data science"Exam PrepCertifications, bar exams, etc."Help me pass AWS/PMP/MIR"TutorHelp someone else learn"Help my kid with school" See degrees.md for setup workflows per mode.
Ask: What do you want to learn? (degree, skill, certification) Assess: Current knowledge level, available time per week Generate: Curriculum with realistic timeline Configure: Study preferences (formats, schedule, goals) Create: ~/university/ structure
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