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AI Video Asset Manager

v1.0.0

AI视频制作资产管理体系。负责角色/场景/道具资产的创建、锁定、版本管理,镜头分镜规划,生成记录归档,一致性检查,返工记录。触发词:新角色、新场景、新镜头、拍视频、建资产、锁定资产、一致性检查、生成记录、返工记录、小弯开拍。当需要管理AI视频生成资产,或为新角色/场景建立资产卡时激活。

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for dlxeva/ai-video-asset-manager.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "AI Video Asset Manager" (dlxeva/ai-video-asset-manager) from ClawHub.
Skill page: https://clawhub.ai/dlxeva/ai-video-asset-manager
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install ai-video-asset-manager

ClawHub CLI

Package manager switcher

npx clawhub@latest install ai-video-asset-manager
Security Scan
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Benign
high confidence
Purpose & Capability
Name/description (asset/cards/consistency checks) match the provided SKILL.md, reference documents, and the two helper scripts. References to Runway/Kling/Veo are explanatory (supported tools) but no connectors or credentials are requested — reasonable for an instruction-first asset-management skill.
Instruction Scope
SKILL.md instructs the agent to create and read local asset files, run consistency checks, and download reference images from user-provided URLs. Reading/writing project files and performing consistency checks is expected; however the '下载素材 [URL]' action and the batch-download script allow fetching arbitrary URLs supplied by users — this is functional but requires care (see guidance).
Install Mechanism
No install spec is provided (instruction-only). Two small Python scripts are bundled; they are plain, readable, and do not fetch remote code or perform installation steps. No archives or external downloads during install.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not ask for unrelated secrets or elevated access — credential requests are proportional (none).
Persistence & Privilege
Skill is not always-enabled and does not claim to modify other skills or system-wide agent settings. Autonomous invocation is allowed (platform default) but not combined with other concerning privileges.
Assessment
This skill appears internally consistent and the bundled scripts are straightforward. Before installing or running: 1) Only use trusted URLs with the '下载素材' command — the batch-download script will save whatever bytes are at those URLs to disk and could store malicious files. 2) Run the skill in a workspace you control (not a sensitive system directory) because it creates and reads local project files. 3) If you expect automatic integration with Runway/Kling/Veo, note the skill documents workflows but does not include API connectors or require credentials — you'll need to manage any tool-specific auth separately. 4) If you plan to let the agent act autonomously, be aware it will read and write project files and may download user-specified resources; restrict access to only the directories you want it to manage.

Like a lobster shell, security has layers — review code before you run it.

latestvk970nht3j1et3gwn42v225j3t185nb0b
38downloads
0stars
1versions
Updated 16h ago
v1.0.0
MIT-0

AI Video Asset Manager

基于 ViMax 多智能体视频生成框架思路,适配 Runway/Kling/可灵/即梦/Pika/Sora/Veo 等工具。

核心原则

  1. 资产优先 — 角色/场景/道具未锁定不开始生成
  2. 版本不覆盖 — 每次变更新建版本号
  3. 检查前置 — 一致性检查是进入下一镜头的门槛

命名规范

类型前缀示例
角色CHAR_CHAR_001_小弯
场景SCENE_SCENE_001_游戏房
道具PROP_PROP_001
镜头SHOT_SHOT_001_01
口播模板TPL_TPL_001
参考图REF_REF_CHAR_001_front_v01
生成记录GEN_GEN_001
一致性检查CHECK_CHECK_001
返工记录RW_RW_001

资产状态机

草稿 → 审核中 → 已锁定 → 使用中 → 已废弃
  ↑                      ↓
  ← ← ← ← ← ← ← 返工 ← ←

项目结构

每个项目独立仓库:

[项目名]/
├── 00_总览.md
├── 01_资产库/
│   ├── 角色/         # CHAR_XXX_名字.md
│   ├── 场景/         # SCENE_XXX_名字.md
│   └── 道具/         # PROP_XXX_名字.md
├── 02_分镜/
│   ├── 00_分镜表_模板.md
│   └── SHOT_XXX_XX.md
├── 03_参考图索引/
│   ├── CHAR_XXX/
│   ├── SCENE_XXX/
│   ├── TPL_XXX/
│   └── SHOT_XXX/
├── 04_生成记录/
│   └── GEN_XXX_描述.md
├── 05_一致性检查/
│   └── CHECK_XXX_镜头ID.md
└── 06_返工记录/
    └── RW_XXX_镜头ID.md

工作流

新建角色资产

  1. 用户提供:角色名 + 外观描述(至少:发型、服装、性格)
  2. 创建 01_资产库/角色/CHAR_XXX_名字.md
  3. 建立 03_参考图索引/CHAR_XXX/ 目录
  4. 用户提供或抓取参考图 URL → 下载到本地
  5. 填写外观锁定项、可/禁用提示词
  6. 状态:草稿

锁定资产

条件:角色外观经过 ≥2 次生成验证

  1. 确认外观锁定项全部勾选
  2. 将 frontmatter 中 status 改为 已锁定
  3. 在版本历史中新增条目

新建镜头

  1. 确认关联角色/场景已锁定
  2. 创建 02_分镜/SHOT_XXX_XX.md
  3. 绑定资产引用(角色ID、场景ID、道具ID)
  4. 填写分镜信息(镜头号、叙事位置、景别、动作描述)
  5. 状态:草稿

生成记录归档

  1. 用户提供:使用的工具(Runway/Kling/Veo等)
  2. 创建/更新 04_生成记录/GEN_XXX_描述.md
  3. 记录:prompt、参数、产出路径、工具
  4. 状态:已完成

一致性检查

references/consistency-rules.md 检查:

检查项通过标准
角色外观CHAR_XXX.md 外观锁定项一致
场景SCENE_XXX.md 一致
道具与道具资产卡一致
表情/姿态在表情库/手势库范围内
光线/色调保持一致

全部通过 → 镜头卡标记 ✅
有任一项不一致 → 进入返工流程

返工记录

  1. 创建 06_返工记录/RW_XXX_镜头ID.md
  2. 记录:返工原因、不一致项、修复方案
  3. 修复后重新通过一致性检查

常用指令

用户说执行
新角色 [名字] [描述]新建角色资产卡
新场景 [名字] [描述]新建场景资产卡
锁定 [资产ID]将资产状态改为已锁定
新镜头 [角色ID] [场景ID]新建镜头卡
生成记录 [镜头ID] [工具]引导填写生成参数
一致性检查 [镜头ID]执行一致性检查
返工 [镜头ID]创建返工记录
下载素材 [URL]下载图片到本地目录

项目初始化

新项目运行 scripts/init-project.py

python scripts/init-project.py [项目路径] [项目名]

参考:references/project-templates.md

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