Token导航 LogoToken导航TokenDH.com
开发需要联网clawhub未标认证来源可访问clear审计通过

creatok-recreate-videocreatok 重新创建视频

Agent Skill

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。

总安装

11,138

周安装

455

GitHub Stars

公开资料未说明

下载量

3,567
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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/newt0n/creatok-recreate-video
安装命令:
openclaw skills install 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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install creatok-recreate-video

简介

重新创建或混合TikTok参考视频,适配新产品需求。

  • 适用于OpenClaw生态,用于补充开发相关能力。
  • 通过clawhub安装,命令为openclaw skills install creatok-recreate-video。
  • 需确认分辨率、时长和素材路径,核对版权授权要求。
  • 建议结合来源仓库和原始README进一步核验具体用法。

SKILL.md

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
primaryEnv
CREATOK_API_KEY
author
creatok
version
1.0.0
geo-relevance
low
tags
triggers

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

82.02%
按下载量换算2,926

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills