Agent skill · Workflow & Productivity

create-lecture

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

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codecan modify filesNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill create-lecture --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Allowed tools: ReadGrepGlobWriteEditBashTask
Path: skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/create-lecture/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 registr

More from Auto-Empirical-Research-Skills
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About this skill
What does the create-lecture skill do?

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

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill create-lecture --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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