视频生成主控 - 自动生成视频场景提示词,支持动态效果、转场、运镜等
Scanned 8/31/2026
Install to Claude Code
npx -y skills add LiChangZheng10086/doyin_ai_video --skill video-master --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Video Master?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/lichangzheng10086-video-master)More formats (shields.io, HTML) on the badges page.
---
name: video-master
description: 视频生成主控 - 自动生成视频场景提示词,支持动态效果、转场、运镜等
---
# Video Master - 视频生成主控 Skill
**版本**: 1.0
**领域**: 视频生成
**架构**: Master-Subordinate
**数据源**: Universal Elements Database
## 🎯 核心功能
自动生成高质量的视频场景提示词,支持:
- 🎬 场景类型(武侠、科幻、动作、剧情等)
- 📹 相机运动(推进、拉远、跟踪、环绕等)
- ⚡ 动作效果(慢动作、快速剪辑、特效)
- 🎭 叙事元素(角色、环境、氛围)
- 🌅 光照场景(黄昏、黎明、夜晚、室内)
---
## 📋 使用方式
### 快速生成
```
生成一个武侠动作场景视频
```
或
```
视频场景:电影级质感,慢镜头,动态相机运动
```
---
## 🔄 工作流程
```
用户输入
↓
查询video领域元素 (1 element)
- scene_types: 武侠等
- camera_movements: 动态运镜(待补充)
- motion_effects: 慢动作等(待补充)
↓
组装Prompt
1. 场景描述
2. 相机运动
3. 动作效果
4. 技术参数(8K HDR)
↓
输出完整视频Prompt
```
---
## 📊 数据源
**主要库**: `video` domain (1 element)
**元素类别**:
- `scene_types` - 场景类型
- `camera_movements` - 相机运动(待补充)
- `motion_effects` - 动态效果(待补充)
- `transitions` - 转场效果(待补充)
**可用标签**:
- `cinematic`, `action`, `dramatic`
- `slow-motion`, `tracking-shot`
---
## ✅ 输出示例
**输入**: `生成武侠动作场景`
**输出**:
```
Cinematic Chinese martial arts action scene, dynamic tracking shot following
warrior through bamboo forest, slow-motion combat sequences with sword fighting,
dramatic lighting with volumetric fog effects, 8K HDR quality, film-grade
cinematography, fluid camera movements, epic atmosphere with traditional
Chinese aesthetics, professional action choreography, movie-quality VFX
```
---
**Skill状态**: ✅ 已实现
**Note**: 视频领域元素较少(1个),建议后续补充更多camera_movements和motion_effects
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Interview, source-challenge, verify, save, and ADR-gate fuzzy coding requests into Codex-ready implementation specs. Use when a feature, bugfix, refactor, migration, repo-wide change, or architecture task needs user-verified requirements, source-backed decisions, durable architecture decisions, acceptance criteria, validation commands, rollout notes, saved spec/ADR files, and a Codex execution prompt. Do not use when already fully specified or when the user wants direct implementation now.
Use when a repo needs CodeGraph plus ast-grep for Codex MCP setup, exploration, impact analysis, structural search, or safe refactor planning.