
saurabh1604/make-lecture-kit
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Give it , , , or — and your AI assistant produces two things into an output/ folder:
Обзор
Give it , , , or — and your AI assistant produces two things into an output/ folder: - — a professionally typeset study companion in plain, easy English: an everyday analogy before every idea, real-life examples, and every worked example walked through step by step (LaTeX + figures). - — a complete, very interactive lecture: the whole topic as a story-driven page where you play with every idea and watch the intuition appear. With just a topic name, the assistant designs the syllabus, the analogies and the worked examples itself. With material, it covers all of it and fills in the steps, intuition and examples the material skips. The output is generic and unbranded — use it for any subject, any course, any learner. Your own agent session writes the source, makes the figures, and compiles the PDF for you.
README
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make-lecture-kit — turn any topic into an easy, visual, interactive study kit
Give it a topic, a list of topics, your notes or study material, or
PDFs / slide decks — and your AI assistant produces two things into an
output/ folder:
companion.pdf— a professionally typeset study companion in plain, easy English: an everyday analogy before every idea, real-life examples, and every worked example walked through step by step (LaTeX + figures).lecture.html— a complete, very interactive lecture: the whole topic as a story-driven page where you play with every idea and watch the intuition appear.
No slides needed. With just a topic name, the assistant designs the syllabus, the analogies and the worked examples itself. With material, it covers all of it and fills in the steps, intuition and examples the material skips. The output is generic and unbranded — use it for any subject, any course, any learner.
No API keys. You install nothing. Your own agent session writes the source,
makes the figures, and compiles the PDF for you. It works first-class on all
three major assistants — Claude, OpenAI Codex, and Google Jules (plus Cursor,
Gemini CLI, and the like) because it ships both open skill formats: a plain
SKILL.md (Claude and Codex auto-discover it) and an AGENTS.md at the
repo root (Jules, Codex, Cursor, Gemini CLI, and the wider
agents.md ecosystem read it natively). Nothing is
platform-specific — standard LaTeX plus standard-library Python — and the
companion PDF compiles wherever TeX is available (most agent sandboxes have it
built in).
Install (pick your assistant)
Everything lives in one repo: https://github.com/saurabh1604/make-lecture-kit. Cloning is best — it makes staying current a single command (see the next section). Prefer not to use git? Download the ZIP from that page and unzip it wherever the steps below say to clone.
Claude Code
git clone https://github.com/saurabh1604/make-lecture-kit ~/.claude/skills/make-lecture-kit
Claude Code auto-discovers any skill in ~/.claude/skills/. (For one project
only, clone into /.claude/skills/ instead.) Then ask:
“Use make-lecture-kit on the topic eigenvectors.”
OpenAI Codex
git clone https://github.com/saurabh1604/make-lecture-kit ~/.agents/skills/make-lecture-kit
Codex auto-discovers SKILL.md skills in ~/.agents/skills/ (and in
.agents/skills/ inside a repo). List them with /skills, invoke explicitly
with $make-lecture-kit, or just say: “Use the make-lecture-kit skill on the
topic backpropagation.” (No-git option: in Codex run $skill-installer and point it
at the repo.)
Google Jules
Jules runs on a GitHub repo and reads AGENTS.md at the repo root
automatically. Two ways to use it:
- Fastest: in Jules, connect the
saurabh1604/make-lecture-kitrepo, then
Рекомендуемые инструменты
Попробуйте другой запрос или уберите фильтр.
Установка
npx skillfish add saurabh1604/make-lecture-kit