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CreatOK Recreate Video

面向 TikTok 短视频的重制 Skill:复用 analyze-video 分析参考视频,写入 recreate_source.json,再由模型在对话中给出避免 1:1 复制的重写方向、脚本与分镜,默认面向 AI 视频生成,并在方向确认后交接给 creatok-generate-video 生成成片。

newt0n
newt0n
热度 56.20
最近更新 2026-05-11 17:30:28
分类:创作依赖:第三方 API / 读写文件 / 内部调用大模型 / 代码执行应用场景:社交媒体 / 文案创作 / 故事创作 / 模板

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add creatok-recreate-video
Metadata
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.
  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.