name: creatok-recreate-video
version: "1.0.0"
description: Use when recreating, rewriting, or remixing a TikTok reference video into a new product-fit version.
license: Internal
compatibility: "Claude Code โฅ1.0, 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
- tiktok-rewrite
- tiktok-remix
- selling-video
- product-adaptation
- creator-workflow
- seller-workflow
triggers:
- "recreate this TikTok"
- "rewrite this TikTok for my product"
- "rewrite this selling video"
- "adapt this video to my product"
- "make a remix of this video"
- "turn this viral video into my version"
- "make a non 1:1 version"
- "help me recreate this video"
- "use this as a template for my product"
- "ใใฎTikTokใไฝใ็ดใใฆ"
- "ใใฎTikTokใ็งใฎๅๅๅใใซๆธใ็ดใใฆ"
- "ใใฎๅ็ปใ็งใฎๅๅๅใใซใขใฌใณใธใใฆ"
- "ใใฎๅ็ปใใใณใใฌใจใใฆไฝฟใฃใฆ"
- "์ด ํฑํก์ ๋ค์ ๋ง๋ค์ด์ค"
- "์ด ํฑํก์ ๋ด ์ํ์ฉ์ผ๋ก ๋ค์ ์จ์ค"
- "์ด ์์์ ๋ด ์ํ์ ๋ง๊ฒ ๋ฐ๊ฟ์ค"
- "์ด ์์์ ๋ด ์ํ ํ
ํ๋ฆฟ์ผ๋ก ์จ์ค"
- "recrea este TikTok"
- "reescribe este TikTok para mi producto"
- "adapta este video a mi producto"
- "usa este video como plantilla para mi producto"
- "recrie este TikTok"
- "reescreva este TikTok para o meu produto"
- "adapte este vรญdeo ao meu produto"
- "use este vรญdeo como modelo para o meu produto"
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//....
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.
