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Create Lecture

CommunityPopular
brycewang-stanford
create-lecture

Create new Beamer lecture from papers and materials. Guided workflow with notation consistency.

Overview

Publisherbrycewang-stanford
RepositoryAuto-Empirical-Research-Skills
Skill namecreate-lecture
Stars
4.6K
Forks
543
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by brycewang-stanford on GitHub. Read the source before you install it.

Installation

Install the Create Lecture AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/create-lecture
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git /tmp/Auto-Empirical-Research-Skills
mkdir -p .claude/skills
cp -r /tmp/Auto-Empirical-Research-Skills/skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/create-lecture .claude/skills/create-lecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Lecture in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Create Lecture on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Create Lecture is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Lecture Creation Workflow

Create a beautiful, pedagogically excellent Beamer lecture deck.

This is a collaborative, iterative process. The instructor drives the vision; Claude is a thinking partner.


CONSTRAINTS (Non-Negotiable)

  1. Read the knowledge base FIRST — notation registry, narrative arc, applications database
  2. Every new symbol MUST be checked against the notation registry
  3. Motivation before formalism — no exceptions
  4. Worked example within 2 slides of every definition
  5. Max 2 colored boxes per slide
  6. No \pause or overlay commands (check project rules)
  7. Transition slides at major conceptual pivots
  8. Thread at least 1 running empirical application throughout
  9. All citations verified against the bibliography
  10. Work in batches of 5-10 slides — share for feedback, don't bulk-dump

WORKFLOW

Phase 0: Intake & Context

  • Read knowledge base and creation guide
  • Inventory provided materials (papers, slides, code)
  • Read previous lecture's structure and ending
  • State pedagogical goal, get user confirmation

Phase 1: Paper Analysis (When Papers Provided)

  • Split into chunks, extract key ideas
  • Map paper notation → course notation
  • Identify slide-worthy content
  • Present summary for approval

Phase 2: Structure Proposal

  • Propose outline (5-Act or 3-Part template)
  • List TikZ diagrams and R figures needed
  • List new notation to introduce
  • GATE: User approves before Phase 3

Phase 3: Draft Slides (Iterative)

  • Work in batches of 5-10 slides
  • Check notation, apply creation patterns
  • Quality checks during drafting

Phase 4: Figures & Code

  • R scripts following conventions
  • TikZ diagrams in Beamer source (single source of truth)
  • Save RDS for future Quarto integration

Phase 5: Polish & Compile

  • Full 3-pass compilation
  • Run Devil's Advocate
  • Run Substance Review (if domain reviewer configured)
  • Update knowledge base with new notation

Post-Creation Checklist

[ ] Lecture compiles without errors
[ ] No overfull hbox > 10pt
[ ] All citations resolve
[ ] Every definition has motivation + worked example
[ ] Max 2 colored boxes per slide
[ ] 2-3 Socratic questions embedded
[ ] Transition slides between sections
[ ] At least 1 running application threaded throughout
[ ] New notation added to knowledge base
[ ] Session log updated
[ ] Devil's Advocate run

Frequently asked questions

What does the Create Lecture AI skill do?

Create new Beamer lecture from papers and materials. Guided workflow with notation consistency.

Why use Create Lecture on TypingMind?

Because you install it once and use it with any model. Create Lecture is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Create Lecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/create-lecture. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Create Lecture?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Create Lecture?

As many as you like. As long as a model supports skills, you can use Create Lecture with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Create Lecture AI skill free?

It is published on GitHub by brycewang-stanford. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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