Install via ClawdBot CLI:
clawdbot install mike47512/open-coursesGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Apr 25, 2026
学生通过精品公开课筛选学习阶段为K12,选择录播课或1对1形式,利用错题本同步和掌握程度分析功能,针对性地进行薄弱环节强化。家长可查看学习时长累计和模考成绩单,评估学习效果。
考研学生根据考试大纲调整,筛选考研阶段,选择名师直播课或录播课,查看名师履历和课程大纲。通过难度等级和通过率指标选择课程,利用讲义下载和互动问答提升学习效率。
职场人士为考取职业证书,选择职业考证阶段,利用题库和模考成绩单自测。付费课程先试听后订阅,借助学历认证关联确保证书有效性。课程更新配合考试大纲调整,提供最新考点。
用户基于兴趣选择网易公开课或B站知识区名师课程,筛选录播课形式,通过掌握程度分析和学习时长累计跟踪进度。坚持打卡学习以获得实质性提升,并利用互动问答参与讨论。
提供部分免费公开课吸引用户,通过试听体验转化付费课程订阅。付费课程含完整讲义下载、错题本同步等增值服务,用户订阅后解锁全部功能。
平台与名师合作,根据课程销售分成。名师提供优质内容,平台负责用户获取和课程运营。付费课程收入按比例分成,同时平台可收取技术服务费。
提供个性化学情报告、智能错题本、1对1辅导等增值服务,用户可按月或按年付费。通过掌握程度分析和模考成绩单等功能提升用户留存,促进增值服务购买。
💬 Integration Tip
可通过课程目录和名师履历快速筛选,试听后订阅付费课程以降低选择风险。
Scored Apr 19, 2026
对用户提供的任何学术论文(PDF附件或URL)进行双模式深度研读。当用户请求分析、研读、解读或总结一篇学术论文时,使用此技能。一次性生成两份报告:Part A 面向研究者的深度专业解析,Part B 面向快速理解的核心逻辑与价值提炼。
Create personalized triathlon, marathon, and ultra-endurance training plans. Use when athletes ask for training plans, workout schedules, race preparation, or coaching advice. Can sync with Strava to analyze training history, or work from manually provided fitness data. Generates periodized plans with sport-specific workouts, zones, and race-day strategies.
Evidence-based endurance coaching protocol (v11.35). Use when analyzing training data, reviewing sessions, generating pre/post-workout reports, planning work...
Trigger Alter macOS app actions via x-callback-urls. Catalog of 84+ actions including ask-anything, translate, summarize, grammar correction, and more.
Bring Neal Stephenson's "Young Lady's Illustrated Primer" from The Diamond Age to life. Transform your AI from a helpful butler into a subversive tutor — one that adapts to your life stage, holds you accountable to who you're becoming, and has permission to challenge you. Use when setting up growth goals, accountability systems, life transitions, "who I want to become", personal development, or when someone wants their AI to challenge them rather than just help them.
Adds equilibrium-constrained reasoning to OpenClaw, ensuring all operations maintain balance for coherent, self-validating, and consistent AI responses.