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jsmakjsmak/claude-skills/skills/lecture-slides/SKILL.md

lecture-slides

Skill0 starsChanged 2 months agoMITView on GitHub

Build a Korean in-house lecture (딥러닝 강의 style) from the lecturer's drafts: a Slides artifact deck with speaker notes, a polished final script, an ElevenLabs phonetic script (소리 나는 대로 + break tags), and — when the lecture has a practice notebook — a renamed, cleaned .ipynb pushed to the course GitHub repo with a Colab badge and README row. Use when the user hands over "대본 초안", "PPT 초안", "슬라이드 초안" or an .ipynb for the next lecture ("N강을 만들려고 합니다", "슬라이드와 대본을 만들어 주세요", "최종 대본과 일레븐랩스 대본", "슬라이드를 이전 스타일과 유지되도록"), or asks to revise a lecture deck, sync notes with a reviewed script, or add figures/formula images to a lecture slide. The narrated video itself is the lecture-video skill's job.

4 other projects use a version of this.

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  • Other versions4 projects use a version of this.

    Word for word · 0

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    Wrote their own version · 4

    1. EtherealMingo/university-teacher-skills★ 16same name
    2. YuliangXiu/lecture-slides★ 12same name
    3. zi-yue-1129/research-lab-skills★ 9same name
    4. methylo/claude-skill-book★ 1same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository3 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When the user's wording is technically wrong (e.g.

    line 90
  2. Distinctive:

    Verify every quoted number against the notebook output.

    line 93

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Lecture Slides

Turns a lecturer's rough drafts into four deliverables that stay in sync:

DeliverableWhere
Slide deck (Slides artifact, one <aside> of notes per slide)claude.ai artifact
N강_최종대본.txt — final script, N페이지 + 코드 N sectionslecture folder
N강_일레븐랩스_PPT.txt, N강_일레븐랩스_코드.txt — TTS scriptslecture folder
NN_topic/NN_topic.ipynb + README rowcourse GitHub repo

The look, the slide recipes, the script rules and the notebook rules are in the reference files. Read the one you need before starting that step:

  • reference/style.md — palette, type scale, slide archetypes, layout budget
  • reference/slides-howto.md — artifact mechanics, diagrams, images, revising
  • reference/script.md — polishing the draft, final script format, ElevenLabs rules
  • reference/notebook.md — notebook conventions, local run, Colab check, GitHub
  • templates/*.html — copy-ready slide files for each archetype

Workflow

  1. Read everything first. The script draft (N강 대본 초안.txt), the PPT draft (export to PNG to look at it — reference/slides-howto.md), any images in the folder or backup/, and the notebook. Drafts may be mojibake in the first half and clean UTF-8 later; find the readable copy.
  2. Ask only what changes the work (one AskUserQuestion, ≤3 questions):
    • notebook folder/file name (NN_topic/NN_topic.ipynb, recommend one),
    • the user's own figures: redraw in deck style, or insert as images (if the user drew a figure carefully, inserting it is usually right — see "Lessons"),
    • anything the draft leaves open (which experiments, who writes a missing script section). Everything else: decide, state the assumption in one line, go.
  3. Notebook (if any) → reference/notebook.md: rename, format like the previous lecture, fix wrong comments, run locally, push, README row. Get the numbers the script will quote from the run.
  4. Deck → reference/slides-howto.md + reference/style.md: one idea per slide, notes = the polished script for that page, citations for paper figures, a closing "코랩에서 직접 실행" slide with the notebook URL when there is a notebook.
  5. Scripts → reference/script.md: the review draft first (N강_대본.txt or N강_코드대본.txt) when the user wants to review; the final script and ElevenLabs files once they have reviewed.
  6. Report: what changed, the numbers used and where they came from, and a short "확인해 주세요" list (factual fixes you made to their wording, pronunciations you guessed, anything not verified). Never claim a render or a Colab run you did not do.

Rules that came from the user

  • Commit/push only when asked; the user asks explicitly ("올리고 확인", "깃허브에 올려줘"). Never delete their files; keep originals beside the renamed copy.
  • Their edits win. The deck is edited in the browser and sometimes in a downloaded PPTX. Before touching a slide, read its current version from the artifact; change only what was asked; keep their widths, wording, images.
  • Numbers follow Colab, because the video is recorded on Colab. If you only ran locally, say so and round ("약 0.29").
  • The last code scene ends with the next-lecture line ("다음 시간에는 … 살펴보겠습니다."), then "감사합니다." Ask or leave a placeholder if the next topic is unknown.
  • Korean throughout, polite 합니다체 in scripts; slides use short noun-phrase or 다/음 endings.

Lessons

  • A redrawn diagram can lose what the user's figure showed (lecture 8: the residual-connection backprop flow). When the user supplies a careful figure, insert it (upload as asset) and put short takeaway cards beside it.
  • Formula images the user pastes (PNG of LaTeX) go in a white card (background:#FFFFFF) at native size — scaling up blurs them.
  • When the user's wording is technically wrong (e.g. "squaring the gradient = second derivative", "Wide ↔ Deep inputs swapped"), fix it in the script and list it under "확인해 주세요"; do not silently keep or silently change.
  • Verify every quoted number against the notebook output; compute any derived claim (e.g. "baseline loss equals predicting the mean") before saying it.

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