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@710a472

Use the `quickdesign` CLI to generate AI media — UGC promo videos, image edits, product creatives, video upscales — through Seedance, Kling, Sora2, Nano Banana, and GPT Image. Invoke this skill whenever the user asks for a talking-avatar video, multi-segment ad / promo / explainer, image edit (object swap, angle change, state change), product photoshoot, or video upscale via QuickDesign.

Use this Skill: https://skilld.dev/gh/anthropics/claude-plugins-community/quickdesign

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referencesvoice-continuity.md

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When a multi-segment UGC video needs voice continuity across segments (so all speakers sound like one person), use Seedance R2V's native audio_urls reference parameter — not a TTS+lipsync chain.

The right way

  1. Segment 1: standard Seedance R2V with native audio. Script in prompt as quoted speech, --generate-audio on (default). This establishes "the voice".

  2. Audio extraction:

    quickdesign video extract-audio seg1.mp4 -o seg1-audio.mp3
    # OR raw ffmpeg fallback:
    # ffmpeg -y -i seg1.mp4 -vn -acodec libmp3lame -q:a 2 seg1-audio.mp3

    Auto-uploads via CLI --reference-audio if local path.

  3. Segments 2..N: pass the extracted audio as voice reference. Each segment's prompt has its own quoted speech; Seedance generates native audio for that segment but matches the voice character of the reference:

    quickdesign video generate \
      --provider seedance \
      --reference-image <same-or-different-image> \
      --reference-audio ~/path/to/seg1-audio.mp3 \
      -p "<scene + 'The person says: \"...\"' + no-music + no-subs + 9:16>" \
      --duration 12 --resolution 1080p --aspect-ratio 9:16 \
      --wait -o segN.mp4
  4. Concat with quickdesign video concat (or ffmpeg -c copy) — same codec/resolution/audio params across segments because every segment is a fresh Seedance R2V output.

Why NOT TTS + lipsync

A typical wrong-pipeline run:

  • Seg 1: native Seedance R2V (correct)
  • Then orchestrated: extract audio → voice-clone → TTS for segs 2/3 → 2 silent Seedance R2V → 2 lipsync → concat

Problems:

  • Result lengths drift (35s instead of target 45s) because lipsync's sync_mode=cut_off truncates the silent video to TTS audio length.
  • Cost: ~2x the right way (clone + TTS + lipsync = ~330 wasted credits per video).
  • Wall-time: ~12-15 min vs ~6-8 min for the audio_urls approach.
  • Multi-step orchestration risk: each step (clone → TTS → silent gen → lipsync) is a separate API call; one transient failure stalls the whole pipeline. audio_urls is one parameter on one API call.

How to apply

  • Whenever the user says "voice continuity" / "same voice" / "use this audio as reference" → think --reference-audio, not TTS.
  • Plan template for multi-segment UGC:

    "Voice-locked multi-segment: Seg 1 native audio → extract → pass to Segs 2..N as --reference-audio (Seedance R2V native voice matching). Cost ≈ N× R2V (no extra orchestration)."

  • Reserve TTS + voice-clone + lipsync for cases where the user explicitly wants a SCRIPTED voice (e.g. dub a custom voice over Seedance video), not for character voice continuity.
  • Constraints: --reference-audio repeatable, max 3 audio refs per call, mp3/wav, 2-15s each, ≤15MB.

What audio_urls does and does not do

  • Does: lock the voice character (timbre, pacing, accent feel) across segments.
  • Does not: dictate WHAT is said in each segment. Each segment's prompt determines the words via quoted speech.
  • Does not: replace the need for --generate-audio to be on. The reference is a character anchor; the segment still generates its own dialogue audio.

Source: SKILL.md on GitHub

2 warnings2mo3 checks · Risk SAFE
  • Gen Agent Trust Hub2mo

    This skill provides detailed instructions for using the `quickdesign` CLI to create and edit AI-generated media. It follows secure practices by implementing confirmation gates for paid tasks and provides guidance on interacting safely with downstream AI models. No security issues were detected.

  • Socket2mo

    1 alert: gptSecurity

  • Snyk2mo

    Risk: MEDIUM · 1 issue

Signed by skilld at 710a472. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last month.

Steadyupdated 3 months ago

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