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.

2) 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

3) 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.

4) 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.