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Agent Skill · 待分类

creatok-recreate-video(creatok 重新创建视频)

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

creatok-recreate-video 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在待分类类的 11,209 个 Skill 里排第 3,523。

总安装 979周安装 40GitHub Stars 7下载 317核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:creatok-recreate-video(creatok 重新创建视频)
来源仓库:https://github.com/echosell/creatok-skills
仓库路径:skills/creatok-recreate-video
安装命令:
npx skills add https://github.com/echosell/creatok-skills --skill creatok-recreate-video
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/echosell/creatok-skills --skill creatok-recreate-video

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

基于参考视频进行结构、表达与风格差异化重构,避免 1:1 复制原内容。适用于 TikTok 视频二次创作与风格优化,需结合 analyze-video 流程获取参考上下文。输出需体现改写逻辑与风格调整,禁止直接照搬原视频元素与叙事结构。仅限 TikTok 平台使用,涉及人物肖像或商业发布时应提前核对授权要求。

creatok-recreate-video 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/creatok-recreate-video

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/echosell/creatok-skills --skill creatok-recrea…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

creatok-recreate-video 怎么安装?

在终端执行 npx skills add https://github.com/echosell/creatok-skills --skill creatok-recreate-video。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

creatok-recreate-video 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

creatok-recreate-video 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

creatok-recreate-video 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

creatok-recreate-video 用的人多吗?

公开数据是累计安装 979 次,近一周安装 40 次,下载 317 次,GitHub 7 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

creatok-recreate-video 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
creatok-recreate-video

creatok 重新创建视频 · 本页

9797只读未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

平台分布

Codex

36.81%
按下载量换算117

Claude

27.18%
按下载量换算86

Cursor

19.92%
按下载量换算63

Gemini CLI

9.47%
按下载量换算30

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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