Skill: newt0n/creatok-recreate-video (version 0.1.4)

--- 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 ≥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 - 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" - "このTikTokを作り直して" - "このTikTokを私の商品向けに書き直して" - "この動画を私の商品向けにアレンジして" - "この動画をテンプレとして使って" - "이 틱톡을 다시 만들어줘" - "이 틱톡을 내 상품용으로 다시 써줘" - "이 영상을 내 상품에 맞게 바꿔줘" - "이 영상을 내 상품 템플릿으로 써줘" - "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 vídeo ao meu produto" - "use este vídeo 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/<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.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)