
Masterclass Lecture Style
Guides an agent to build dense, continuous lecture-style courses with slides, long narration and rare checkpoints.
- Repository
- THU-MAIC/OpenMAIC
- Stars
- 42,460
- Licence
- MIT
- Files
- 2 files
What it does
This is an instruction file that tells an AI agent how to design a course as one continuous lecture: a single teacher voice explains a subject across slide pages, with dense content, long spoken narration built around real cases, and few quizzes. Once installed, when someone asks for a masterclass or systematic walkthrough, the agent plans the course in that structure rather than as short fragmented pages. It works alongside a broader course-building skill, and it hands practice-focused requests to a separate workshop style.
Great for
- Educators or creators who want an AI-generated lecture-style course on a conceptual subject
- Learners who prefer listening to a long explanation over doing exercises
- Developers building a course-generation pipeline who want a consistent lecture format
Skip it if
- Hands-on training or exercise-based learning, which the file routes to a different skill because a lecture cannot be used for practice
- Courses centred on manipulating a mechanism, which the file routes to another interactive skill
Try asking
- “Create a masterclass lecture on how interest rates affect bond prices, using real historical cases”
- “Make a systematic walkthrough of how public-key cryptography works, as a lecture”
- “讲透 the principles of supply chain management in a long-form lecture”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 2 original files, the MIT licence and an attribution note.
lecture-style.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip lecture-style.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip lecture-style.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Name a specific subject and audience so the agent can pick real cases to recur across the lecture.
- Check that the agent follows the stated density and narration guidance, since the output quality depends on the surrounding stage-design skill.
- If you want practice rather than a lecture, ask for that directly so the workshop style is used instead.
What's inside
- outline-constraints.json
- SKILL.md
Redistributed unmodified from THU-MAIC/OpenMAIC under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.