/clone-ad

name: clone-ad
description: >
  Clone an existing video ad for a different product or offer. Analyzes the source
  video's style, pacing, camera work, dialogue, and tone, then adapts and generates
  a new Seedance 2.0 video customized for the user's product. End-to-end workflow:
  input video → analysis → adapted prompt → generation → delivery. Use when someone
  says "clone this ad", "make this ad but for my product", "recreate this video for
  my brand", or provides a video ad and a product image asking for a similar video.

Clone ad — Seedance 2.0

Clone an existing video ad for a different product or offer. The agent analyzes the source video frame-by-frame, transcribes dialogue, extracts the visual style and beat structure, then generates a new Seedance 2.0 video adapted for the user's product.

**How this differs from analyze-video:**

• **analyze-video** → output is a **reusable markdown template** saved to `prompt-library/`
• **clone-ad** → output is a **generated Seedance 2.0 video** delivered to the user

Prerequisites

Before starting, verify:

which ffmpeg || echo "MISSING — run: brew install ffmpeg"
python3 -c "import whisper; print('whisper OK')" 2>/dev/null || echo "MISSING — run: pip3 install openai-whisper"

Both `extract-frames.sh` and whisper depend on ffmpeg. If missing, install via `brew install ffmpeg` before proceeding.

Workflow

Step 0: Gather inputs

Collect from the user:

| Input | Required | Notes | |-------|----------|-------| | **Source video** | yes | The video ad to clone. File path to `.mp4`, `.mov`, `.webm` | | **Product image** | recommended | Reference photo of the user's product. Becomes `referenceImages` / `@(img1)` in the prompt. Without this, Seedance invents its own product design. | | **Product/offer description** | if no image | Text description of the product, its features, target audience, and key selling points. Used to rewrite dialogue and product references. | | **Brand voice** | optional | Check `MASTER_CONTEXT.md` for brand blocks. If empty, ask the user for tone/audience preferences. |

If the user only provides a video and says "clone this for my product," ask them for at least a product image or a text description before proceeding.

Step 1: Extract frames and audio

Reuse the analyze-video extraction script — do NOT duplicate it.

bash "skills/arcads-external-api/prompting/analyze-video/scripts/extract-frames.sh" \
  "<source_video_path>" "/tmp/clone-ad-analysis" <num_frames>

**Frame count by duration:**

| Source duration | Frames | |-----------------|--------| | Under 10s | 8 | | 10–20s | 12 | | 20–30s | 16 | | Over 30s | 20 |

**Outputs:**

• `frame_001.jpg` through `frame_NNN.jpg`
• `audio.wav` (16 kHz mono, whisper-ready)
• `metadata.txt` (duration, resolution, fps, frame count)

Read `metadata.txt` to get the source video duration — you'll need it for step 6.

Step 2: Transcribe audio

Use whisper to get the exact dialogue. This is critical — the dialogue pattern is what gets adapted for the user's product.

import whisper
model = whisper.load_model("base")
result = model.transcribe("/tmp/clone-ad-analysis/audio.wav")

Record:

• Full transcript text
• Per-segment timestamps and text (`result["segments"]`)
• Total word count
• Language detected

If the video is **silent** (no speech detected), note that and skip the dialogue adaptation in step 7. The clone will be a visual-style clone only.

Step 3: Compressed analysis

Read **ALL** extracted frames visually. For each frame, note:

**Structure and pacing:**

• How many distinct beats/shots are there?
• What's the narrative arc? (hook → demo → verdict? reveal → detail → CTA?)
• How long does each beat last? (map to segment timestamps)

**Camera and framing:**

• POV style: selfie/handheld, tripod, propped phone, over-the-shoulder?
• Framing per beat: wide, medium, close-up, macro?
• Camera movement: static, pan, dolly, handheld shake?
• Signature framing moves (e.g., "leans into camera," "tilts product toward lens")

**Edit style:**

• Transition type: jump cuts, dissolves, match cuts?
• Visual rhythm: fast cuts vs held shots?
• Any recurring motif (e.g., "every other beat is an extreme close-up")?

**Dialogue and script structure:**

• Hook format: question, statement, exclamation, reaction?
• Speech pattern: casual/formal, filler words, trailing thoughts, mid-sentence cuts?
• How many spoken lines? How many silent beats?
• CTA style: direct ("link in bio"), soft ("you need to try this"), none?

**Tone and energy:**

• Emotion words that describe the speaker/mood
• Energy arc: starts calm → builds excitement? Flat? Burst then settle?
• Speaker's relationship to viewer: friend, expert, skeptic, fan?

**Lighting and technical quality:**

• Light source: natural/artificial, direction, quality
• Camera quality: phone/DSLR/cinema, intentional flaws?
• Audio quality: phone mic, studio, car, outdoor?

**Product references:**

• How is the product physically shown? (held up, worn, applied, on a surface)
• What specific claims or features are called out?
• Brand mentions, labels visible, text overlays?

**What makes this ad distinctive (2–3 defining traits):**

• The unique combination of elements that makes this ad recognizable
• These are the traits that MUST transfer to the clone

Store this analysis internally — it does NOT get saved as a template file.

Step 4: Present analysis summary

Show the user a structured breakdown before proceeding:

📋 Source video analysis

Duration: Xs | Beats: N | Dialogue: Y words | Style: [style name]

Beat map:
  [00:00–00:03]  HOOK — close-up, excited expression, "opening line"
  [00:03–00:07]  SHOW — tilts product to camera, "feature call-out"
  [00:07–00:10]  DEMO — (silent) applies/uses product, close-up on texture
  [00:10–00:15]  VERDICT — back to camera, "closing line + CTA"

Defining traits:
  1. [trait 1]
  2. [trait 2]
  3. [trait 3]

What transfers to your product:
  ✅ Be