{ "schemaVersion": "1.0", "item": { "slug": "university", "name": "University", "source": "tencent", "type": "skill", "category": "内容创作", "sourceUrl": "https://clawhub.ai/ivangdavila/university", "canonicalUrl": "https://clawhub.ai/ivangdavila/university", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/university", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=university", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.md", "assessment.md", "content.md", "degrees.md", "feedback.md", "formats.md" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "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." }, { "label": "Upgrade existing", "body": "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." } ] }, "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-30T16:55:25.780Z", "expiresAt": "2026-05-07T16:55:25.780Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/university" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/university", "agentPageUrl": "https://openagent3.xyz/skills/university/agent", "manifestUrl": "https://openagent3.xyz/skills/university/agent.json", "briefUrl": "https://openagent3.xyz/skills/university/agent.md" }, "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "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." }, { "label": "Upgrade existing", "body": "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." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "When to Use", "body": "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." }, { "title": "Quick Reference", "body": "AreaFileDegree/career setupdegrees.mdContent generationcontent.mdAssessment & examsassessment.mdPlanning & calendarplanning.mdProgress trackingtracking.mdStudy formatsformats.mdLearning preferencesfeedback.md" }, { "title": "Workspace Structure", "body": "All learning data lives in ~/university/:\n\n~/university/\n├── degrees/ # One folder per degree/career/certification\n│ ├── index.md # Active degrees list with status\n│ └── [degree-name]/ # Per-degree folder\n│ ├── curriculum.md # Full curriculum with modules\n│ ├── progress.md # Module completion, mastery levels\n│ ├── calendar.md # Exam dates, deadlines, milestones\n│ └── modules/ # Study materials by module\n├── resources/ # Uploaded PDFs, slides, recordings\n├── exams/ # Test history, practice exams\n├── flashcards/ # Spaced repetition card sets\n└── config.md # Study preferences, schedule, goals" }, { "title": "Core Operations", "body": "New degree/career: User says what they want to learn → Generate complete curriculum equivalent to university degree → Map prerequisites → Estimate total time → Create study calendar → Store in degrees/[name]/.\n\nDaily study: Check calendar and progress → Generate today's session (reading + exercises + review) → Adapt to available time → Track completion.\n\nContent processing: User uploads PDF/audio/video → Extract key concepts → Generate summary → Create flashcards → Add to relevant module.\n\nAssessment: Generate practice tests from studied material → Simulate real exam conditions → Correct with explanations → Update mastery tracking → Schedule review for weak areas.\n\nProgress review: Show completion %, mastery by topic, time invested → Predict readiness for exams → Alert if falling behind → Suggest plan adjustments." }, { "title": "Critical Rules", "body": "Never generate exam answers without teaching first — explain WHY\nTrack what user knows vs doesn't know — don't assume mastery\nAdapt difficulty progressively — start where user actually is\nSpaced repetition is mandatory — schedule reviews automatically\nDistinguish \"studied\" from \"mastered\" — require verification\nSupport multiple degrees simultaneously — keep them organized\nLearn user's optimal study patterns — times, formats, duration" }, { "title": "User Modes", "body": "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\"\n\nSee degrees.md for setup workflows per mode." }, { "title": "On First Use", "body": "Ask: What do you want to learn? (degree, skill, certification)\nAssess: Current knowledge level, available time per week\nGenerate: Curriculum with realistic timeline\nConfigure: Study preferences (formats, schedule, goals)\nCreate: ~/university/ structure" } ], "body": "When to Use\n\nUser 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.\n\nQuick Reference\nArea\tFile\nDegree/career setup\tdegrees.md\nContent generation\tcontent.md\nAssessment & exams\tassessment.md\nPlanning & calendar\tplanning.md\nProgress tracking\ttracking.md\nStudy formats\tformats.md\nLearning preferences\tfeedback.md\nWorkspace Structure\n\nAll learning data lives in ~/university/:\n\n~/university/\n├── degrees/ # One folder per degree/career/certification\n│ ├── index.md # Active degrees list with status\n│ └── [degree-name]/ # Per-degree folder\n│ ├── curriculum.md # Full curriculum with modules\n│ ├── progress.md # Module completion, mastery levels\n│ ├── calendar.md # Exam dates, deadlines, milestones\n│ └── modules/ # Study materials by module\n├── resources/ # Uploaded PDFs, slides, recordings\n├── exams/ # Test history, practice exams\n├── flashcards/ # Spaced repetition card sets\n└── config.md # Study preferences, schedule, goals\n\nCore Operations\n\nNew degree/career: User says what they want to learn → Generate complete curriculum equivalent to university degree → Map prerequisites → Estimate total time → Create study calendar → Store in degrees/[name]/.\n\nDaily study: Check calendar and progress → Generate today's session (reading + exercises + review) → Adapt to available time → Track completion.\n\nContent processing: User uploads PDF/audio/video → Extract key concepts → Generate summary → Create flashcards → Add to relevant module.\n\nAssessment: Generate practice tests from studied material → Simulate real exam conditions → Correct with explanations → Update mastery tracking → Schedule review for weak areas.\n\nProgress review: Show completion %, mastery by topic, time invested → Predict readiness for exams → Alert if falling behind → Suggest plan adjustments.\n\nCritical Rules\nNever generate exam answers without teaching first — explain WHY\nTrack what user knows vs doesn't know — don't assume mastery\nAdapt difficulty progressively — start where user actually is\nSpaced repetition is mandatory — schedule reviews automatically\nDistinguish \"studied\" from \"mastered\" — require verification\nSupport multiple degrees simultaneously — keep them organized\nLearn user's optimal study patterns — times, formats, duration\nUser Modes\nMode\tFocus\tTrigger\nAutodidact\tFull degree replacement\t\"I want to learn medicine/law/engineering\"\nStudent\tComplement existing university\t\"Help me with my classes/exams\"\nCareer Change\tUpskilling with portfolio\t\"I want to transition to data science\"\nExam Prep\tCertifications, bar exams, etc.\t\"Help me pass AWS/PMP/MIR\"\nTutor\tHelp someone else learn\t\"Help my kid with school\"\n\nSee degrees.md for setup workflows per mode.\n\nOn First Use\nAsk: What do you want to learn? (degree, skill, certification)\nAssess: Current knowledge level, available time per week\nGenerate: Curriculum with realistic timeline\nConfigure: Study preferences (formats, schedule, goals)\nCreate: ~/university/ structure" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/ivangdavila/university", "publisherUrl": "https://clawhub.ai/ivangdavila/university", "owner": "ivangdavila", "version": "1.0.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/university", "downloadUrl": "https://openagent3.xyz/downloads/university", "agentUrl": "https://openagent3.xyz/skills/university/agent", "manifestUrl": "https://openagent3.xyz/skills/university/agent.json", "briefUrl": "https://openagent3.xyz/skills/university/agent.md" } }