Lecture Sketchboard

Lecture Sketchboard

Hand-drawn whiteboard visuals for lectures

Installed by
13
CategoryImage
Versionv10
Last updated
Runtime creditsUsage-based
ModelsAuto
FromYouMind

Description

Transform any content into a series of hand-drawn whiteboard infographics perfect for classroom teaching. Break down topics finely, keep essential details, and adapt content length automatically, providing lecturers with ample visual aids for their explanations.

Editor's Recommendation

Why we love this skill

Intelligently converts lecture content into hand-drawn whiteboard infographics with strict visual standards, ensuring each graphic accurately conveys core information. A powerful classroom teaching aid.

Showcase

OpenClaw为代表的AI智能体对情报学的影响与启示(简版)

{"alt":"OpenClaw龙虾项目","id":"imageId-3b03a811-0a45-4530-aead-d006bcf3eb7d","width":1066,"height":600}

{"alt":"真正能做事的AI","id":"imageId-f7c4184a-0446-4875-81ea-32d6ddb45121","width":1066,"height":600}

{"alt":"核心问题","id":"imageId-094dbc9a-19bb-4af1-9630-1ae7ba4e52fd","width":1066,"height":600}

{"alt":"AI演进三阶段","id":"imageId-3627d230-9e52-4244-9392-bb80878e7d45","width":1066,"height":600}

{"alt":"Agent架构四模块","id":"imageId-aca73f03-064d-4c29-9ca1-12d127d028c2","width":1066,"height":600}

{"alt":"AutoResearch自改进","id":"imageId-2986cde3-08a4-4ab4-a6bd-f8abbde4b082","width":1066,"height":600}

{"alt":"Harness驾驭隐喻","id":"imageId-c14b6402-0bf8-4555-a9fb-a0b54cdf2e46","width":1066,"height":600}

{"alt":"从人在环中到人在环上","id":"imageId-0d1a964d-61be-4902-b30d-171571498366","width":1066,"height":600}

{"alt":"传统三要素分析视角","id":"imageId-95eecc0a-b51f-4b6c-8052-507463cc59dd","width":1066,"height":600}

{"alt":"新四要素分析视角","id":"imageId-70562f63-07e3-4ac7-a57b-60438defd758","width":1066,"height":600}

{"alt":"主体性判定三条件","id":"imageId-25b1e620-9d49-4fee-8801-1ecfe768edf6","width":1066,"height":600}

{"alt":"主体性判定对比","id":"imageId-e437985f-3c13-4003-94f2-b922312613c6","width":1066,"height":600}

{"alt":"四个冲击维度","id":"imageId-30b5f881-469c-435e-9e0e-94adf5f34c9d","width":1066,"height":600}

{"alt":"传统信息行为理论前提","id":"imageId-020c764f-7a07-44d3-a570-082cde1d4d0f","width":1066,"height":600}

{"alt":"情报监测模式对比","id":"imageId-c7544307-7688-46f6-aa72-8ce69623abb8","width":1066,"height":600}

{"alt":"从主动行为到持续运转","id":"imageId-0bf82dec-92fb-44c8-a0b6-b2bf8bdfdc54","width":1066,"height":600}

{"alt":"委托化的隐患","id":"imageId-7853e3cd-83fa-4148-a045-9d77c1e8454f","width":1066,"height":600}

{"alt":"知识生产管线化","id":"imageId-e4d926a9-92e8-4da3-8bef-0a81ce4aa8a0","width":1066,"height":600}

{"alt":"Codex校验实例","id":"imageId-c6a604f6-dbfb-4431-add7-11085a5fc68e","width":1066,"height":600}

{"alt":"多Agent并行校验","id":"imageId-89a645dc-7e15-4c01-851d-d82c2aa65fea","width":1066,"height":600}

OpenClaw为代表的AI智能体对情报学的影响与启示(简版)

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