name: creatok-recreate-video version: "1.0.0" description: '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.' license: Internal compatibility: "Claude Code ≥1.0, OpenClaw skills, ClawHub-compatible installers. Requires network access to CreatOK Open Skills API. No local video analysis setup required." metadata: openclaw: requires: env: [] bins: - node primaryEnv: CREATOK_API_KEY author: creatok version: "1.0.0" geo-relevance: "low" tags: - tiktok - recreate-video - video-recreation - tiktok-rewrite - tiktok-remix - selling-video - script-rewrite - storyboard-rewrite - creator-workflow - seller-workflow - product-adaptation - viral-video - ecommerce - ugc triggers: - "recreate this TikTok" - "rewrite this TikTok for my product" - "make a similar video" - "rewrite this selling video" - "adapt this video to my product" - "make a similar TikTok for my product" - "make a remix of this video" - "make this in my own style" - "turn this viral video into my version" - "make a non 1:1 version" - "rewrite this script for my product" - "help me recreate this video" - "rewrite this tiktok video" - "rewrite this for my product" - "do a version for my product" - "make me a version like this" - "use this as a template for my product" - "keep the structure but rewrite it" - "change this into my version"

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.