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joebenscoter86joebenscoter86/higgsfield-ugc-workflow/skills/ugc-multicut-script/SKILL.md

ugc-multicut-script

Skill4 starsChanged 5 months agoMITView on GitHub

Step 4 of the ugc-ad pipeline. Write a motion-dense multi-cut video script — 0–15s split into three time-sliced cuts matching the storyboard (Hook / Setup-Action / Recommendation), with camera behavior, physical interaction beats, and a spoken monologue with sound cues. This becomes the Seedance prompt. No generation; authoring only. Brand-agnostic.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is 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.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    No em-dashes / en-dashes anywhere in the VO lines.

    line 53
  2. Distinctive:

    Keep the WRITTEN brand spelling correct everywhere else (profile, caption, on-screen label) — ONLY the spoken VO quote gets the phonetic …

    line 68
  3. Very specific:

    When a word with an aɪ.əl glide (vial / trial / dial / phial) misfires, anchor it to a real one-syllable word the TTS already knows rather …

    line 76

≈ “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

ugc-multicut-script

Writes the directorial prompt that drives the single Seedance generation.

Inputs

  • PROFILE (product-profile.md), BRAND_FACTS (voice/positioning), DEST, optional DURATION (default 15, max 15).

Steps

  1. Map three cuts onto the timeline (e.g. 0–4s Hook, 4–10s Setup/Action, 10–15s Recommendation), each matching its storyboard panel.
  2. For each cut, specify:
    • camera behavior (handheld micro-shake for selfie hook vs locked-off for macro),
    • the physical interaction (the exact usage step from PROFILE — sanitizing, pouring, applying, gesturing),
    • the spoken monologue line (natural creator voice, brand facts woven in, NO em-dashes; write brand names / unusual words PHONETICALLY — see the VO Pronunciation Playbook below),
    • sound cues (ambient room tone, product sfx).
  3. Write DEST/script.md:

    # UGC Script — <slug> (<DURATION>s, 3 cuts)
    
    ## Cut 1 — Hook (0–Xs, Tight, handheld micro-shake)
    - Action: ...
    - VO: "..."
    - SFX: ...
    
    ## Cut 2 — Setup/Action (X–Ys, Macro, locked-off)
    - Action: <exact usage step>
    - VO: "..."
    - SFX: ...
    
    ## Cut 3 — Recommendation (Y–<DURATION>s, Wide, handheld)
    - Action: ...
    - VO: "..."
    - SFX: ...
    
    ## SEEDANCE_PROMPT
    <one dense paragraph concatenating the three cuts as a continuous motion+dialogue description — this exact block is what the video step passes to seedance_2_0. OPEN with a one-line voice spec (e.g. "The voiceover is a calm, credible late-20s female narrator speaking clear American English. No subtitles, no on-screen captions."). Introduce each spoken line with `she says:` / `he says:` and put the line in quotes. End the block with "No subtitles.">

Output

DEST/script.md containing a SEEDANCE_PROMPT block.

Constraints

  • Total runtime ≤ 15s (Seedance hard cap).
  • Monologue must be speakable in the allotted seconds (~2.5 words/sec). (~32 words across 15s validated comfortable.)
  • No em-dashes / en-dashes anywhere in the VO lines.

VO Pronunciation Playbook (validated 2026-06-22, Seedance 2.0 native audio)

Seedance synthesizes the VO from the literal text in the prompt, so spelling drives pronunciation. Two failure modes seen live:

  • Letter-by-letter spell-out: a non-word brand like nustandardlabs is read "N-U-standard-labs".
  • Mangling: the naive fix New Standard Labs came out "newstandard labbers" (words fused + a schwa turned "Labs" into "labbers").

Rules that fixed it:

  1. Respell phonetically with clear word boundaries. nustandardlabs -> Noo Standard Labz. Use "z" for voiced plural endings ("Labz" not "Labs") to stop schwa insertion. Test it by reading your spelling aloud as a stranger would.
  2. Explicit dialogue form: she says: "..." (not saying, "...") — uses your exact words.
  3. Append No subtitles. or the model burns auto-captions into the video.
  4. Specify the voice once at the top of SEEDANCE_PROMPT: tone + age + gender + language.
  5. Only a human can verify the audio. Render 720p first (cheap; audio is resolution-independent), confirm pronunciation, keep that take. Never pay for 1080p just to check audio.

Keep the WRITTEN brand spelling correct everywhere else (profile, caption, on-screen label) — ONLY the spoken VO quote gets the phonetic respelling.

Known-fix lexicon (drop these spellings straight into the spoken VO quote)

WordMispronounced asUse this spellingWhy
nustandardlabs"N-U-standard-labs" / "newstandard labbers"Noo Standard Labzword boundaries + voiced "z" ending
vial"vawl" / "vile-uhl"vile (validated 2026-06-22)one-syllable /vaɪl/; the engine knows the word and says it clean, and in context (vials on screen) the ear reads "vial". Two-syllable respellings (vye-uhl, VY-ull) collapse to "vawl".

When a word with an aɪ.əl glide (vial / trial / dial / phial) misfires, anchor it to a real one-syllable word the TTS already knows rather than hyphenating syllables.

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