creatok-recreate-video

This skill should be used when the user asks to recreate a TikTok video, rewrite a TikTok for their own product, make a similar TikTok, adapt a reference video to their own product, rewrite a selling video, make a non-1:1 remix, or turn a viral video into their own version. Helps TikTok creators and sellers turn a reference video into a product-fit or style-fit version with light follow-up questions, smooth handoff from analysis, and minimal repeated input.

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Install skill "creatok-recreate-video" with this command: npx skills add creatok/creatok-recreate-video

recreate-video

Constraints

  • Platform: TikTok only.
  • Must NOT do 1:1 copying.
  • Must apply:
    • structure rewrite
    • expression rewrite
    • style differentiation
  • The model's final user-facing response should match the user's input language, default English.
  • Avoid technical wording in the user-facing reply unless the user explicitly needs details for debugging or to share with a developer.
  • Follow shared guidance in ./references/common-rules.md.

Workflow

  1. Analyze reference video
  • Reuse the analyze-video workflow.
  • Gather enough reference context for the model to understand what makes the source video work.
  1. Write source artifacts for the model
  • outputs/recreate_source.json
  • Include:
    • reference TikTok URL
    • analyze result payload
    • analyze artifacts directory
    • optional user constraints such as angle / brand / style
  1. Model output happens in the conversation
  • The model should read outputs/recreate_source.json
  • The model should help the user choose a direction without over-constraining the process.
  • Unless the user explicitly asks for a live-action shoot version, the model should default to creating a script, storyboard, and visual direction that are intended for AI video generation rather than human filming.
  • Typical directions include:
    • stay closer to the original concept and execution
    • create a differentiated remix version
    • use the reference only as inspiration for a new version
  • The model should present these directions in simple creator / seller language rather than technical or production language.
  • The model should decide, with minimal friction:
    • what stays at the idea level
    • what changes in structure / wording / visuals
    • copyright / similarity risks
    • the level of detail that is most helpful next: concept, outline, short script, storyboard, or shotlist
  • The model should ask only for high-impact creative preferences when needed, not force a fixed template.
  • The model should usually show a useful first draft quickly instead of starting with many questions.
  • The first draft should default to an AI-generation-ready version.
  • The model should prefer a first draft wording that naturally sets up the next handoff, such as "If this direction looks good, I can generate the video next."
  • If the user wants to recreate or adapt a selling video, the model should first collect the user's own product context before writing a fitted script.
  • Start with only the most important product details:
    • product name
    • core selling points
    • product images or reference materials if available
    • price / offer / promotion details if relevant
  • If more context is needed, the model should ask short follow-up questions one by one instead of requiring a long upfront brief.
  • The model should avoid making the user restate information that was already clear from the previous analysis or conversation.
  1. If the user wants final generation
  • Once the creative direction is clear enough, the model should hand off to creatok-generate-video using the script or brief already developed in the conversation.
  • The model should avoid asking the user to rewrite their request from scratch before generation.
  • The default handoff should be to AI generation, not a human shoot plan.
  • The model should phrase this in natural creator language that invites creatok-generate-video, for example:
    • "If you want, I can generate this version now."
    • "If this script looks right, I can turn it into a video next."
    • "I can go ahead and make the video from this version."
  • Before handing off, the model should already reason about generation feasibility:
    • whether the plan fits within a single segment
    • whether it needs to be split into multiple segments
    • whether a recurring human character means the user needs to upload a portrait / person reference
    • whether the selected generation path requires a model that supports real-person reference images
  • If the recreate plan is longer than a model's maximum duration, the model should explain the tradeoff and suggest a segmented plan before calling creatok-generate-video.

Artifacts

Write under recreate-video/.artifacts/<run_id>/....

Notes

  • This skill should feel like a creative bridge between analysis and generation.
  • Prefer smooth continuation from the analyzed reference rather than making the user restate the whole idea.
  • For selling-video recreation, adapt the reference to the user's own product instead of drafting a generic copy first.
  • After producing an AI-generation-ready version, the model may optionally ask whether the user also wants a live-action shoot version.
  • Keep the interaction lightweight and practical for non-technical creator / seller users.

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