Skills Agentes

Analyze Video

Analiza un video de referencia y lo convierte en una plantilla de prompting reutilizable para Seedance 2.0, capturando estructura, ritmo, cámara, edición y tono para recrearlo con cualquier producto o persona.

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1.4k

en todo el repo

Actividad
38

0–100, la ruta de este skill

Actualizado
hace 4 meses

último commit aquí

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0

últimos 90 días

Contexto
4.3k tok

145 tok en reposo

Paquete
2 archivos

19 KB

Instalar

Funciona con cualquier agente que lea SKILL.md

npx -y skills add krusemediallc/arcads-claude-code --skill analyze-video --agent claude-code

Se instala solo en este repositorio.

Este skill reads environment config.

Qué hace

  • Extrae frames y audio del video de referencia con ffmpeg/whisper y transcribe el diálogo para entender ritmo y patrones de habla
  • Identifica qué es específico del video original (persona, producto) frente a qué es 'el estilo' transferible, y solo el estilo pasa a la plantilla
  • Comprime el estilo a un límite de 15 segundos por clip (el máximo de Seedance 2.0), con una estrategia de múltiples clips si el video original es más largo
  • Guarda la plantilla como un archivo markdown reutilizable en la librería de prompts del repo, con capas, variables y ejemplos completos

Úsalo cuando

  • El usuario da un video que quiere usar como referencia de estilo y pide 'deconstruct this video', 'turn this into a template' o 'analyze this style'

No lo uses cuando

    Qué lo activa

    Di cualquiera de estas frases y el agente debería cargar este skill.

    • Convierte este video en una plantilla reutilizable de Seedance
    • Deconstruye el estilo de este anuncio para poder recrearlo

    SKILL.md

    En inglés

    Analyze Video → Reusable Prompting Template

    Someone found a video style they love. Your job is to deconstruct it into a reusable prompting template — a formula they can plug any product, person, or setting into and get that same style back from Seedance 2.0.

    Critical constraint: Seedance 2.0 has a 15-second maximum per clip. The reference video may be longer than 15 seconds (often 30-60s). Your template must be designed for 15-second output — which means distilling the style's essence into what can be captured in a single 15-second clip, and providing a multi-clip strategy for recreating the full effect of longer-form styles across a series of clips.

    The output is NOT a single prompt. It's a template skill saved to skills/arcads-external-api/prompting/prompt-library/ that works the same way seedance-2-ugc.md works — a documented formula with layers, variables, options, and examples that the agent can use to generate unlimited prompts in that style.

    Dependencies

    • ffmpeg / ffprobe — required for frame extraction (Step 1). Install via brew install ffmpeg on macOS.
    • whisper — optional, for audio transcription (Step 2). Install via pip3 install openai-whisper. If unavailable, the agent can ask the user to provide dialogue manually.

    Inputs

    • Video file (required): path to .mp4, .mov, .webm, or similar
    • Style name (optional): what to call this template (e.g., "car-review", "unboxing-hype", "skeptic-converted"). If not provided, you'll name it based on what you observe.

    Step 1: Extract frames and audio

    Run the extraction script:

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

    Frame count by duration:

    • Under 10s → 8 frames
    • 10-20s → 12 frames
    • 20-30s → 16 frames
    • Over 30s → 20 frames

    Read metadata.txt for duration, resolution, and fps.

    Step 2: Transcribe audio

    Try transcription tools in this order:

    1. whisper CLI: whisper /tmp/video-analysis/audio.wav --model base --output_format txt --output_dir /tmp/video-analysis
    2. Python whisper: quick inline script
    3. If nothing is available, ask the user to provide dialogue or install whisper (pip3 install openai-whisper)

    The transcript helps you understand pacing, speech rhythm, filler word usage, and how dialogue interleaves with action — all of which define the style.

    Step 3: Study the reference templates

    Read the existing Seedance 2.0 prompting templates to understand the gold standard for how a template should be structured:

    Also read the main model guide for platform rules:

    • seedance-2.md — API parameters, prompt length, forbidden words, adaptation checklist

    Notice the structure these templates share:

    • They identify layers (the structural building blocks of the style)
    • Each layer has a pattern (the repeatable sentence structure with {{VARIABLES}})
    • Variables come with option banks (tables of choices that fit the style)
    • There are rules and principles that explain why certain choices matter
    • There are complete examples showing the template fully filled in

    Your output template needs to hit the same level of depth and usability.

    Step 4: Analyze the frames — identify what defines this style

    Read ALL extracted frames. You're not describing one specific video — you're identifying the transferable patterns that make this style what it is.

    Ask yourself for each dimension: "What about this is specific to THIS VIDEO (the person, the product, the setting) vs. what is THE STYLE (the approach, the structure, the feel)?"

    Only the style goes into the template. The specifics become variables.

    Structure & pacing

    • How long is the video? (The source video will often be 30-60s, which is fine — you'll compress the style for 15s output.)
    • How many distinct scenes/beats are there? Which 2-3 are the ESSENTIAL beats that define the style?
    • What's the narrative arc? (hook → demo → proof → verdict? or something different?)
    • What's the rhythm — fast cuts or lingering shots? How long does each beat last?
    • Are there silent beats or is it all dialogue?
    • 15-second compression question: If you had to capture this video's entire feel in just 3 beats and 2-3 spoken lines, which moments would you keep?

    Camera & framing

    • What's the primary filming perspective? (selfie, propped phone, someone else filming, screen recording, etc.)
    • How does framing change between beats? (tighter, wider, different angle, same angle throughout)
    • Is there a signature camera move or framing choice that defines this style?

    Edit style

    • Jump cuts between takes? Continuous shot? Time-lapse? Split screen?
    • How do transitions work? Hard cuts, dissolves, text overlays?
    • Any recurring visual motifs? (close-up product shots, reaction face, before/after)

    Dialogue & script structure

    • What's the hook format? (question, bold claim, mid-action, reaction)
    • How is dialogue structured? (scripted, improvised, voiceover, text-on-screen)
    • What speech patterns define the tone? (filler words, sentence length, vocabulary level)
    • How do spoken lines relate to on-screen actions?

    Tone & energy

    • What 3-4 emotion words capture the vibe?
    • How does energy change across the video? (builds, stays flat, peaks then drops)
    • What's the relationship to the viewer? (talking to a friend, addressing followers, thinking out loud)

    Lighting & technical quality

    • What's the lighting approach? (natural, ring light, moody, overexposed)
    • Phone quality or polished? What technical "flaws" are part of the aesthetic?
    • Audio quality — phone mic, lapel, voiceover, ambient?

    What makes this style DIFFERENT

    This is the most important analysis. After cataloging everything above, identify the 2-3 things that make this style distinct from a generic UGC video or a generic product review. Maybe it's the pacing, maybe it's the hook format, maybe it's the way the product is revealed, maybe it's the edit rhythm. These defining traits become the core of your template.

    15-second optimization plan

    The source video is almost certainly longer than 15 seconds. Before building the template, plan how the style maps to the Seedance 15-second limit:

    • What's the minimum viable version of this style? Identify which beats/elements are essential vs. nice-to-have. A 15-second clip needs to capture the ESSENCE of the style — the thing that makes someone say "oh that's THAT kind of video."
    • Does this style need a multi-clip strategy? If the style's power comes from a narrative arc (setup → payoff) or a feature rundown, it needs 2-3 clips. If the style is more about a vibe or a single moment, one clip might be enough.
    • How many spoken lines fit? At natural pace, 15 seconds fits 2-3 short sentences. Count the lines in the source transcript and figure out which ones carry the style's voice. Those go in the template's dialogue rules.
    • What's the beat structure? 15 seconds = 2-3 beats max. Map the source video's beat structure down to a 3-beat skeleton: hook → core moment → kicker.

    Step 5: Build the template

    Create a new markdown file structured as a reusable prompting skill. The file should be self-contained — someone should be able to read it and generate prompts in this style without ever seeing the original video.

    Template structure

    # [Style Name] — Seedance 2.0
    
    **Use when:** [describe the type of video this template produces]
    
    **Model guide:** Read [seedance-2.md](seedance-2.md) first for platform rules, API parameters, and the adaptation checklist.
    
    ## What defines this style
    
    [2-3 paragraphs explaining what makes this style distinctive and why it works.
    This is the "theory" section — it helps the prompt writer understand the style
    intuitively so they can make good variable choices, not just fill in blanks.]
    
    ## The structure
    
    [Identify the layers/building blocks of THIS style. Don't force-fit the 9-layer
    UGC model if this style works differently. If it's a 5-layer style, make it 5.
    If it's 12, make it 12. Let the video's actual structure drive the template.]
    
    ## Layer-by-layer formula
    
    ### Layer N: [Name]
    
    [Explain what this layer does and why it matters for this style.]
    
    **Pattern:**
    \```
    [The repeatable sentence structure with {{VARIABLES}}]
    \```
    
    **Variables:**
    
    | Variable | Options | Notes |
    |----------|---------|-------|
    | `VARIABLE_NAME` | option 1, option 2, option 3 | [guidance] |
    
    [Include option banks, tips, and gotchas specific to this style]
    
    ### [... more layers ...]
    
    ## Beat structure (15-second format)
    
    [Detail the 3-beat framework for a single 15-second clip in this style.
    What's beat 1 (hook), beat 2 (core), beat 3 (kicker)? Which beats have
    dialogue vs. silent action? Max 2-3 spoken lines total.]
    
    ## Multi-clip strategy (if applicable)
    
    [If the full style needs more than 15 seconds, show how to split it across
    2-3 clips. Each clip must stand alone with its own hook energy, but together
    they recreate the full style. Include a table showing which features/moments
    go in which clip.]
    
    ## Tone & pacing guide
    
    [How to calibrate the energy, speech patterns, and rhythm for this style.
    Include a pacing cue bank specific to this style.]
    
    ## Technical specs
    
    [Lighting, camera quality, audio characteristics that define this style's
    look and feel. Include the specific "flaws" that make it authentic.]
    
    ## Complete template
    
    [A single copy-paste block for ONE 15-second clip with ALL variables
    marked as {{PLACEHOLDERS}}. Max 3 beats, max 2-3 dialogue lines.
    This is the core unit — every prompt generated from this template
    produces one 15-second Seedance clip.]
    
    ## Example prompts
    
    [Show a multi-clip example (2-3 clips) using a DIFFERENT product/person/setting
    than the source video. Each clip is a complete 15-second prompt. Together
    they demonstrate how the style works across a series.]
    
    ## Adaptation checklist
    
    [A quick checklist to verify all layers are covered before submitting
    the prompt. Always include the standard Seedance 2.0 checks from seedance-2.md.]
    

    Key principles for the template

    • Every prompt is 15 seconds. This is a hard constraint from Seedance 2.0. The template must produce prompts that fit within 15 seconds — max 3 beats, max 2-3 spoken lines. If the style needs more, the template should include a multi-clip strategy showing how to split across 2-3 separate 15-second prompts.

    • Variables should be meaningful choices, not open-ended fill-in-the-blanks. For each variable, provide a curated bank of options that fit this style. "Any lighting" is useless. "Natural window light, overhead kitchen light, golden hour balcony light" gives real guidance.

    • Capture the rules, not just the structure. If the hook has to be a question, say so. If there should be exactly one silent beat, say so. The template should make it hard to write a bad prompt.

    • The example prompts must use DIFFERENT content than the source video. If the source video was a woman reviewing a serum in her bedroom, the example should be a guy reviewing a protein bar in his kitchen (or whatever). This proves the template generalizes.

    • Include a @(img1) product image reference in the template pattern, since Seedance prompts accept image references for the product.

    • Preserve the voice of the style. If the original uses specific types of filler words, specific sentence structures, specific energy patterns — encode those into the template's dialogue rules and tone guide so every prompt generated from it sounds right.

    • Dialogue must fit 15 seconds. A natural human speaks ~2-3 short sentences in 15 seconds with pauses. If the source video has dense, fast dialogue, the template should note that the speaker's pace is fast and each line should be punchy and short. Count words — 30-40 spoken words is the realistic ceiling for 15 seconds.

    • Follow the Seedance 2.0 platform guide. All templates must comply with seedance-2.md — prompt length (100-260 words), no forbidden words ("cinematic," "professional," "stunning," "8k," "studio," "perfect"), explicit motion specificity, and consistency anchors for product references.

    Step 6: Save and present

    1. Save the template to skills/arcads-external-api/prompting/prompt-library/seedance-2-<style-name>.md
    2. Print a summary to the conversation:
      • What style was identified
      • The key layers/structure
      • What makes it distinctive
      • The file path where it was saved
    3. Ask: "Want me to generate a test prompt using this template to make sure it works?"

    If they say yes, generate a prompt for a different product/person/setting than the source video — this validates the template is genuinely reusable.

    Step 7: Submit to Arcads API

    After generating and saving a prompt, offer to submit it to Arcads for video generation.

    API endpoint: POST /v2/videos/generate

    Request body:

    {
      "model": "seedance-2.0",
      "productId": "<product-uuid>",
      "prompt": "<the-generated-prompt>",
      "aspectRatio": "9:16",
      "duration": 15,
      "resolution": "720p",
      "audioEnabled": true,
      "referenceImages": ["<filePath-from-presigned-upload>"]
    }
    

    Before submitting:

    1. Ask the user for a productId (or use the default from MASTER_CONTEXT.md).
    2. Ask whether to enable audio (audioEnabled).
    3. If the user has product images, upload via POST /v1/file-upload/get-presigned-url and pass the filePath values in referenceImages.
    4. Show the credit cost estimate and wait for confirmation.
    5. Submit via the API. Poll GET /v1/assets/{id} until status is generated or failed.

    For multi-clip series, submit each clip separately and present all results together.

    Include this API submission section in every template you generate:

    ## Submitting to Arcads
    
    After filling in the template and generating your prompt:
    
    1. Upload product images via `POST /v1/file-upload/get-presigned-url`
    2. Submit via `POST /v2/videos/generate`:
    
    \```json
    {
      "model": "seedance-2.0",
      "productId": "<your-product-id>",
      "prompt": "<your-filled-prompt>",
      "aspectRatio": "9:16",
      "duration": 15,
      "resolution": "720p",
      "audioEnabled": true,
      "referenceImages": ["<filePath>"]
    }
    \```
    
    3. Poll `GET /v1/assets/{id}` until `status: "generated"`
    
    For multi-clip series, submit each clip as a separate API call.
    

    File map

    skills/arcads-external-api/
    ├── SKILL.md                              ← main skill (decision tree, execution checklist)
    ├── reference.md                          ← API routes, CreateVideoDto, polling
    ├── prompting/
    │   ├── guide.md                          ← marketing brief → API
    │   ├── analyze-video/
    │   │   ├── SKILL.md                      ← THIS FILE — reverse-engineer video styles
    │   │   └── scripts/
    │   │       └── extract-frames.sh         ← ffmpeg frame + audio extraction
    │   └── prompt-library/
    │       ├── seedance-2.md                 ← Seedance 2.0 model guide (platform rules)
    │       ├── seedance-2-ugc.md             ← 9-layer UGC formula
    │       ├── seedance-2-premium-reveal.md  ← dark-void premium reveal
    │       ├── seedance-2-product-hero.md    ← elemental product hero
    │       ├── seedance-2-studio-lookbook.md ← studio lookbook with voiceover
    │       ├── seedance-2-feature-walkthrough.md ← feature walkthrough demo
    │       ├── sora-2.md                     ← Sora 2 guide
    │       ├── veo-3-1.md                    ← Veo 3.1 guide
    │       ├── kling-3.md                    ← Kling 3.0 guide
    │       └── ...                           ← other model guides
    

    Reproducido de krusemediallc/arcads-claude-code bajo licencia MIT. Leer esta página en markdown.

    Archivos

    2 archivos en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.

    Antes de instalar

    Requiere ffmpeg (`brew install ffmpeg`); whisper es opcional para transcribir el audio (`pip3 install openai-whisper`).

    Variables de entorno:DURATIONFFMPEGFFPROBEFPS_FILTERFRAME_COUNTNUM_FRAMESOUT_DIRRESOLUTIONVIDEO

    Detalles

    Categoría
    Marketing
    Licencia
    MIT
    Recursos incluidos
    scripts en bash
    Código fuente
    Ver SKILL.md

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