write-speaker-notes

Generate speaker notes (presentation script) for Quarto RevealJS slides. Supports English and Korean. Use when user asks to "write speaker notes", "add presentation script", "speaker script", "발표 스크립트

SKILL.md

GitHub

Speaker Notes (Presentation Script) Workflow

Generate a verbatim reading script for a deck. The presenter reads these notes as-is during the talk, so every note is the actual sentences to say aloud, in the language the deck declares.

CRITICAL: These are presentation scripts (대본), NOT talking points. Full spoken sentences that flow naturally when read aloud.

The deck's genre decides what a good script is. Never guess the genre: read the resolved profile first (Phase 0B) and apply the matching genre section below. The mechanics (where notes live, the three privacy layers) are the same for every genre.


Phase 0: Pre-Flight Checks

0A. Identify Target File

Decks live at Quarto/<genre>/<name>.qmd. Resolve the argument rather than building a path by hand:

python3 scripts/deckpath.py [Deck] --field qmd

A bare name works; genre/name disambiguates if two genres ever share one. If no argument, ask the user. python3 scripts/deckpath.py --list shows what exists.

0B. Read the Deck's Premises (profile + deck.yml)

Everything the script depends on is declared, not guessed. Read both, first thing:

python3 scripts/deckprofile.py [Deck]                       # resolved config, JSON
cat "$(python3 scripts/deckpath.py [Deck] --field config)"  # the raw deck.yml

From the resolved JSON:

  • profile - which genre section below applies: paper-review, lecture, or invited-talk
  • notes_language - ko (280 Hangul syllables/min) or en (130 words/min)
  • speaking_min - the minutes the presenter actually talks
  • prior_session - for a lecture in a series: the previous session's title, week, date and presenter. The opening note names it (see Genre: Lecture)
  • sources - what technical claims in the notes are checked against

From the raw deck.yml: audience.assumes, audience.size, audience.prior and delivery - review-agent context the resolved JSON does not carry; the invited-talk section depends on it.

Budget = speaking_min x 280 Hangul syllables (ko) or x 130 words (en).

speaking_min is derived by deckprofile.py as duration_min - video_min - qa_min (floored at 0): the minutes the presenter actually talks, not the wall-clock slot. A 60-minute lecture with 10 minutes of clips and 5 of questions is a 45-minute script, ~12,600 Hangul syllables in Korean or ~5,850 words in English; a 30-minute paper review with neither is ~8,400 / ~3,900. Deriving it from the declared numbers is the point - a hardcoded budget silently belongs to whichever genre it was written for, and a budget on the slot length over-writes every deck that plays video.

--lang still overrides, for the one-off case where the notes are being written in a different language from what the deck will normally use. Say so explicitly when you override, so the mismatch with the config is visible.

If the deck has no config (no tracked deck is in that state today), fall back to asking the user.

0C. Check for Existing Notes

Search the QMD for ::: {.notes} blocks and a front matter data-notes:.

  • If notes already exist: warn user and ask whether to overwrite or skip slides that have notes.
  • If no notes: proceed.

0D. Locate Source Materials

  1. QMD file - primary source (must exist)
  2. Deck sources - whatever <deck>.deck.yml names under sources: (a paper PDF, a vault research note, a reference list) or the presenter supplies in the conversation

Report what sources are available. Notes live only inline in the QMD (see below); there is no separate presenter-script file to read or write.


Where Notes Live (same for every genre)

Inline, one block per slide, at the end of the slide's content:

::: {.notes}
The sentences to say on this slide.
:::

The spelling must be exactly ::: {.notes}. Variants Quarto accepts (:::{.notes}, ::: notes) render fine but the git clean filter does not match them, which means those notes would be committed. Plain text only inside the block: no nested ::: divs (the filter's closing match stops at the first ::: line), no markdown emphasis, no links.

The title slide is generated from the front matter, so a notes div cannot attach to it. Its notes go in the front matter instead:

title-slide-attributes:
  data-notes: |
    The opening lines, spoken before the first slide change.

Shared include slides (series lectures): the note goes in the deck right after the {{< include >}} line. Everything before the next ## belongs to the included slide, and the shared _series/ file itself carries no notes.


Phase 1: Read & Analyze Slides

  1. Read the complete QMD file
  2. Count total slides (level-2 headings ##) and any {{< include >}} slides (each include is one slide that needs a deck-side note)
  3. Identify slide structure: which slides are content-heavy, which are light
  4. For lectures, also mark the special slides: video slides (.video-full, video-card), question slides (hand-raise, Wooclap), shared includes - each has its own note shape (see Genre: Lecture)
  5. Note section boundaries for narrative arc planning
  6. Calculate target total budget from Phase 0B

Report to user:

  • Total slides found
  • Section breakdown
  • Target script length
  • Source materials available

Phase 2: Batch Generation

Delegate to the script-writer agent in batches of 8-10 slides.

For each batch, provide the agent with:

  1. The deck name and the resolved profile JSON from Phase 0B, verbatim
  2. The raw <deck>.deck.yml content
  3. The QMD content for those slides
  4. The overall context (deck title, what came before, what comes after, and the final note of the previous batch for the transition)
  5. Approximate per-batch budget (total budget / number of batches, adjusted for content density)
  6. Relevant source excerpts (for technical slides only)
  7. Lecture decks: the running gloss list - technical terms already glossed in earlier batches. The agent glosses only first appearances and reports which terms it glossed; append those to the list before the next batch.

Batch sequencing:

  • Process batches sequentially (each batch needs context from previous batches for transitions)
  • After each batch, verify the notes were properly inserted with ::: {.notes} syntax
  • Track running word/char count

Notes placement rule:

  • Place ::: {.notes} at the end of each slide, before the next ## heading
  • Include slides: the note goes right after the {{< include >}} line
  • Section dividers (## {.divider}) get brief transition notes
  • References slide: skip (no notes)

Phase 3: Count Verification

After all batches are complete:

  1. Count total script length:

    • Korean: count characters excluding spaces, punctuation, and markdown syntax
    • English: count words excluding markdown syntax
  2. Compare against the target derived from the deck's own speaking_min (Phase 0B), not a fixed number:

    • Korean: speaking_min × 280 Hangul syllables (±10%)
    • English: speaking_min × 130 words (±10%)

    For a 30-minute paper review that is 8,400 syllables / 3,900 words. A 60-minute lecture with no video is twice that, a 20-minute conference talk is a third of it, and a lecture that plays clips is budgeted on the minutes left after them.

  3. If outside acceptable range:

    • Too long: identify the longest notes and ask the script-writer agent to trim
    • Too short: identify slides with thin notes and ask for expansion
    • Re-count after adjustment

Phase 4: Render & Verify

  1. Run quarto render "$(python3 scripts/deckpath.py [Deck] --field qmd)"
  2. Verify render succeeds without errors
  3. Check the HTML output for <aside class="notes"> elements (and data-notes on the title section, if the deck has title notes)
  4. Report number of slides with notes vs total slides
  5. Suggest the presenter open the local HTML and press S: reveal's speaker view shows the notes, a timer, and the next slide. The dual-display leak test for the deployed page is in AGENTS.md (Speaker Notes Policy); run it before presenting from a new deploy.

Phase 5: Timing Report

Generate a timing report and save to quality_reports/[Deck]_speaker_notes_report.md using the template at templates/speaker-notes-report.md.

The report should include:

  • Per-section breakdown (section name, number of slides, word/char count, estimated time)
  • Total estimated presentation time
  • Quality checklist status

Present a summary to the user including:

  • Total script length (words or chars)
  • Estimated presentation time
  • Coverage (slides with notes / total slides)
  • Any quality concerns

Genre: Paper Review (paper-review)

The audience is working ML people (the profile says so). The value of the script is judgment, not coverage - the room can read the abstract itself.

  • The title-slide note states the paper being reviewed (venue, group, why it earned a session) and sets the talk's scope and duration.
  • Results and figure notes compare to baselines out loud: name the number worth remembering and say whether it survives scrutiny.
  • "My Take" notes are personal and opinionated, with the reasoning behind the opinion; they are the memorable part of the talk.
  • When official code exists, at least one note says something implementation-level that is not in the paper's text.

Genre: Lecture (lecture)

First- and second-year students, most of them non-majors, and they HEAR the notes: for notes: ko each note is the actual Korean sentences to say aloud, not an English summary of what to cover. If a note cannot be read verbatim to a student who has never seen a loss curve, it is wrong.

  • Open by naming the prior session. deckprofile.py prints prior_session (title, week, date, presenter). The first content note reconnects by name: what that session was about, where it stopped, what today adds. A guest session counts and is credited to its presenter.
  • Gloss every technical term in Korean in the note the FIRST time the term appears in the deck; after that, use the term plainly. Slides stay English; the gloss lives in the note (the lecture profile's guidance says the same). Track first uses across batches (Phase 2).
  • Bridge by reuse: "you already know X, and this is X reused" is the reliable move for this audience - diffusion they have seen making images is the same machinery generating actions. Reach for that bridge before reaching for a new abstraction.
  • Video slides: the note has two labeled parts. Before play: the sentences to say before pressing play - what to watch for and why this clip. During: what to point at while it runs, or that silence is fine. Anything to say after the clip belongs to the next slide's note.
  • Question slides (hand-raise, Wooclap): the note contains the exact question sentence to ask, verbatim, plus a follow-up line for each outcome (most hands up / a few / none), so the moment never stalls.
  • Shared include slides: notes go after the include line in the deck (see Where Notes Live). The semester map, course rules and QR slides get short per-deck notes - what today's position on the map means, not a re-reading of the rules.

Genre: Invited Talk (invited-talk)

The room varies by invitation, which is exactly why the profile declares less: read audience.assumes, audience.size and the audience description from the deck.yml before writing a word. The same slide gets a different sentence for practitioners than for a mixed or executive room. A talk carries one claim; the notes keep returning to it, and the closing note states it in a single sentence a listener could repeat afterwards.


Privacy: The Three Layers

Notes are local-only, presenter-screen-only, and never reach git or the deployed page (plan D13). Three independent layers enforce it: a git clean filter strips them before staging, a CI strip removes them from every rendered deck HTML at deploy, and backup_notes.py keeps a gitignored copy as insurance against a git checkout smudging the note-free blob over the working file. Mechanism, file names and the one-time setup command are in AGENTS.md, Speaker Notes Policy.

Two rules this workflow owns: back up after every writing session (python3 scripts/backup_notes.py backup [Deck]), and never maintain separate branches for notes vs no-notes - a notes branch leaks on the first merge.


Non-Negotiable Constraints

  1. Script, not notes. Every note must be a complete, speakable script in the deck's notes language.
  2. No verbatim repetition. Notes must add value beyond the slide content.
  3. Transitions matter. Each note should flow naturally from the previous slide.
  4. Budget compliance. Total must fall within ±10% of target.
  5. Proper syntax. Exactly ::: {.notes} with a matching ::: closure; title notes only via title-slide-attributes: data-notes:.
  6. No notes on References slide. Skip it entirely.

Examples

Example 1: First-time script generation

User says: /write-speaker-notes DreamZero Actions:

  1. deckpath.py DreamZero --field qmd → Quarto/papers/DreamZero.qmd
  2. deckprofile.py DreamZero → profile paper-review, notes ko, speaking_min 30 → target ~8,400 syllables
  3. Read QMD, count slides, locate source paper
  4. Generate notes in 4-5 batches via script-writer agent (paper-review genre)
  5. Verify total char count within range
  6. Render and verify
  7. Generate timing report

Example 2: Adding notes to already-annotated file

User says: "Add speaker notes to the new slides I added" Actions:

  1. Find QMD, detect existing ::: {.notes} blocks
  2. Identify slides WITHOUT notes
  3. Generate notes only for unannotated slides
  4. Verify count and render

Example 3: One-off language override

User says: "/write-speaker-notes DreamZero --lang en" Actions:

  1. Say plainly that the deck declares notes: ko and this run overrides it. If English is what the deck should use from now on, the fix is language.notes in DreamZero.deck.yml, not repeating the flag.
  2. If Korean notes exist, warn and ask whether to replace
  3. If replacing, remove all existing ::: {.notes} blocks first
  4. Generate English script targeting speaking_min × 130 words
  5. Verify and render

Example 4: A 60-minute lecture in a series

User says: /write-speaker-notes dgist-2026f-w02 Actions:

  1. deckprofile.py → profile lecture, notes ko, duration 60 with video_min: 10 and qa_min: 5 → speaking_min 45 → target ~12,600 syllables; prior_session names the W01 session and its presenter
  2. Half again a paper review's script, not double: the clips and the questions are not narrated. Budget the batches for it rather than writing a 60-minute script and calling the deck overlong.
  3. The first content note names the prior session and where it stopped; every technical term gets its Korean gloss at first appearance; video notes split into before-play and during; question slides carry the exact question sentence and per-outcome follow-ups; the four shared include slides get their notes right after the include lines.