generating-videos
yikart/AiToEarn · Agent Skill
使用 Grok 從文字或影象生成影片,支援各種解析度和寬高比。
前往安裝 ↓總覽
| 發布者 | |
|---|---|
| 儲存庫 | yikart/AiToEarn ↗ |
| 技能資料夾 | generating-videos |
| 星 | 25,856 |
| 附帶檔案 | 1 |
| 授權 | MIT |
| 最近更新 | 2026年6月22日 |
| 連結 | 技能原始碼 ↗ · 儲存庫 ↗ |
Mozgi 檢查
我們在技能檔案中發現的內容。詳細資訊需訂閱。
安裝
技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。
把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。
Install the “generating-videos” skill from mozgi.io (https://mozgi.io/skills/generating-videos/) for me. 1. Download the archive: https://mozgi.io/skills/generating-videos/download If it fails, take the skill folder from the source: https://github.com/yikart/AiToEarn/tree/main/project/aitoearn-backend/apps/aitoearn-ai/src/core/agent/skills/generating-videos 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “generating-videos” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/generating-videos/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/yikart/AiToEarn.git /tmp/AiToEarn mkdir -p .claude/skills cp -r /tmp/AiToEarn/project/aitoearn-backend/apps/aitoearn-ai/src/core/agent/skills/generating-videos .claude/skills/generating-videos
重新啟動 Claude Code — 技能就會出現在清單中,手動呼叫:/generating-videos。要套用到所有專案,請放在 ~/.claude/skills。
git clone --depth 1 --branch main https://github.com/yikart/AiToEarn.git /tmp/AiToEarn mkdir -p .agents/skills cp -r /tmp/AiToEarn/project/aitoearn-backend/apps/aitoearn-ai/src/core/agent/skills/generating-videos .agents/skills/generating-videos
Codex 會從目前資料夾往上到儲存庫根目錄,在 .agents/skills 中尋找技能;用 /skills 或 $generating-videos 呼叫。所有專案:~/.agents/skills。
git clone --depth 1 --branch main https://github.com/yikart/AiToEarn.git /tmp/AiToEarn mkdir -p .cursor/skills cp -r /tmp/AiToEarn/project/aitoearn-backend/apps/aitoearn-ai/src/core/agent/skills/generating-videos .cursor/skills/generating-videos
Cursor 啟動時會載入技能;在 Agent 聊天輸入「/」呼叫。Cursor 也會讀取 .claude/skills 與 .agents/skills。所有專案:~/.cursor/skills。
git clone --depth 1 --branch main https://github.com/yikart/AiToEarn.git /tmp/AiToEarn mkdir -p .gemini/skills cp -r /tmp/AiToEarn/project/aitoearn-backend/apps/aitoearn-ai/src/core/agent/skills/generating-videos .gemini/skills/generating-videos
任務符合時,Gemini CLI 會提議啟用技能,由你確認。所有專案:~/.gemini/skills。
安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。
SKILL.md 內容
作者原文 · 唯讀Video Generation
Generates videos using Grok.
Model Selection Strategy
Use grok-imagine-video for video generation.
| Scenario | Use Model | Reason |
|----------|-----------|--------|
| Video 1-15s | grok-imagine-video | Grok supports direct 1-15s generation |
| Text-to-video | grok-imagine-video | Prompt-only generation |
| Image-to-video | grok-imagine-video | Uses one reference image |
| Video >15s | Generate multiple clips, then load editing-videos to concatenate | Grok max duration is 15s |
Language Rule
Video prompts MUST follow the user's language. If the user writes in Chinese, generate Chinese prompts; if in English, generate English prompts. If the user explicitly requests a specific language, use that language.
Grok Video Model
| Model | Speed | Quality | Max Duration | Use Case |
|-------|-------|---------|--------------|----------|
| grok-imagine-video | Fast | Good | 15s | Default video generation |
Parameters
| Parameter | Values | Default | Description |
|-----------|--------|---------|-------------|
| duration | 1-15 | model default | Video duration in seconds |
| resolution | 480p, 720p | 720p | Video resolution |
| aspectRatio | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 | 9:16 | Video aspect ratio |
| imageUrl | URL | none | Reference image URL for image-to-video |
Workflow
1. Call generateVideoWithGrok with prompt and optional parameters.
2. Poll getGrokVideoStatus every 30 seconds.
3. Maximum wait: 5 minutes.
4. Save completed output to draft unless the user explicitly asks for media library only.
Prompt Structure
[Subject & Background] + [Action] + [Style] + [Camera] + [Atmosphere] + [Audio]
Subject & Background
Specify the main focus and environmental context.
Examples:
- "A young woman with long black hair wearing a red dress"
- "White concrete apartment building with organic shapes and lush greenery"
Action
Describe what the subject is doing.
Examples:
- "walks slowly towards the camera"
- "transforms from liquid to solid"
Style
Add aesthetic direction.
Examples:
- Film noir
- Surrealism
- Cyberpunk
- 3D cartoon animation
- Cinematic documentary
Camera
Describe movement and framing.
Examples:
- "slow dolly-in"
- "handheld tracking shot"
- "close-up with shallow depth of field"
Atmosphere
Describe lighting, color, mood, and setting.
Examples:
- "warm sunset lighting"
- "misty morning atmosphere"
- "high contrast studio lighting"
Audio
Include useful audio cues when relevant.
Examples:
- "soft ambient city sounds"
- "gentle piano music"
- "footsteps on wet pavement"
Aspect Ratio Guidance
| Platform / Use | Aspect Ratio |
|----------------|--------------|
| TikTok, Reels, Shorts, mobile social video | 9:16 |
| YouTube landscape, website hero, presentation | 16:9 |
| Profile or square feed asset | 1:1 |
| Portrait-style content | 3:4 or 2:3 |
| Landscape social feed | 4:3 or 3:2 |
Long Video Strategy
For videos longer than 15 seconds:
1. Split the video into independent 15-second-or-shorter segments.
2. Generate each segment with generateVideoWithGrok.
3. Poll every task until complete.
4. Load editing-videos.
5. Use the video editing tool to concatenate the completed segments.
Keep prompts visually consistent across segments by repeating subject, style, lighting, camera language, and environment details.
常見問題
generating-videos 技能有什麼用途?
使用 Grok 從文字或影象生成影片,支援各種解析度和寬高比。
如何安裝 generating-videos?
打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。
generating-videos 適用哪些 AI 模型?
技能是純 Markdown 指示(Agent Skills 格式),因此 generating-videos 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。
generating-videos 是免費的嗎?
此技能由 yikart 公開發布,採用 MIT 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。
安裝技能安全嗎?
技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。
技能和 MCP 伺服器或外掛有何不同?
MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。