据 AlphaMoat 统计,截至 2026-09,Sora Video Generation 累计下载 3,022 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 3,716 位,在「设计创意」分类(512 个)中排名第 349 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 93 | 2,784 | 1 | - |
| SkillHub ↗ | 163 | 3,022 | 1 | — |
各平台的计数口径不同,统计时间不一致。
该技能可将文本提示或参考图像提交给 OpenAI 处理,并把生成的视频写入指定路径;参考图像可能会自动调整尺寸。技能卡提醒提示词和图片会发送到 OpenAI,命令行直接传入 API key 可能暴露凭据。仅提交获准发送的内容,使用受保护的密钥存储,并事先确认输出路径和文件权限。 需要 Python/uv 工作流及获授权的 OPENAI_API_KEY,调整文档脚本路径并核对当前可用参数。指南提醒结果会到期,应在完成后及时下载;参考图调整尺寸可能影响构图。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,022 | — | 1 |
| 2026-08 | 2,753 | +4.2% | 1 |
| 2026-07 | 2,641 | +8.8% | 1 |
| 2026-06 | 2,428 | +5.0% | 1 |
| 2026-05 | 2,313 | — | 1 |
| 2026-03 | 1,995 | — | 1 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: sora description: Generate videos using OpenAI's Sora API. Use when the user asks to generate, create, or make videos from text prompts or reference images. Supports image-to-video generation with automatic resizing. --- # Sora Video Generation Generate videos using OpenAI's Sora API. ## API Reference
**Endpoint:** `POST https://api.openai.com/v1/videos` ### Parameters | Parameter | Values | Description | |-----------|--------|-------------| | `prompt` | string | Text description of the video (required) | | `input_reference` | file | Optional image that guides generation | | `model` | `sora-2`, `sora-2-pro` | Model to use (default: sora-2) | | `seconds` | `4`, `8`, `12` | Video duration (default: 4) | | `size` | `720x1280`, `1280x720`, `1024x1792`, `1792x1024` | Output resolution | ### Important Notes - **Image dimensions must match video size exactly** - the script auto-resizes - Video generation takes 1-3 minutes typically - Videos expire after ~1 hour - download immediately ## Usage ```bash # Basic text-to-video uv run ~/.clawdbot/skills/sora/scripts/generate_video.py \ --prompt "A cat playing piano" \ --filename "output.mp4" # Image-to-video (auto-resizes image) uv run ~/.clawdbot/skills/sora/scripts/generate_video.py \ --prompt "Slow dolly shot, steam rising, warm lighting" \ --filename "output.mp4" \ --input-image "reference.png" \ --seconds 8 \ --size 720x1280 # With specific model uv run ~/.clawdbot/skills/sora/scripts/generate_video.py \ --prompt "Cinematic scene" \ --filename "output.mp4" \ --model sora-2-pro \ --seconds 12 ``` ## Script Parameters | Flag | Description | Default | |------|-------------|---------| | `--prompt`, `-p` | Video description (required) | - | | `--filename`, `-f` | Output file path (required) | - | | `--input-image`, `-i` | Reference image path | None | | `--seconds`, `-s` | Duration: 4, 8, or 12 | 8 | | `--size`, `-sz` | Resolution | 720x1280 | | `--model`, `-m` | sora-2 or sora-2-pro | sora-2 | | `--api-key`, `-k` | OpenAI API key | env var | | `--poll-interval` | Check status every N seconds | 10 | ## API Key Set `OPENAI_API_KEY` environment variable or pass `--api-key`. ## Prompt Engineering for Video ### Good prompts include: 1. **Camera movement**: dolly, pan, zoom, tracking shot 2. **Motion description**: swirling, rising, falling, shifting 3. **Lighting**: golden hour, candlelight, dramatic rim lighting 4. **Atmosphere**: steam, particles, bokeh, haze 5. **Mood/style**: cinematic, commercial, lifestyle, editorial ### Example prompts: **Food commercial:** ``` Slow dolly shot of gourmet dish, soft morning sunlight streaming through window, subtle steam rising, warm cozy atmosphere, premium food commercial aesthetic ``` **Lifestyle:** ``` Golden hour light slowly shifting across mountains, gentle breeze rustling leaves, serene morning atmosphere, premium lifestyle commercial ``` **Product shot:** ``` Cinematic close-up, dramatic lighting with warm highlights, slow reveal, luxury commercial style ``` ## Workflow: Image → Video 1. Generate image with Nano Banana Pro (or use existing) 2. Pass image as `--input-image` to Sora 3. Write prompt describing desired motion/atmosphere 4. Script auto-resizes image to match video dimensions ## Output - Videos saved as MP4 - Typical file size: 1.5-3MB for 8 seconds - Resolution matches `--size` parameter
ContextWeave 架构图一键生成
用 Nano Banana Pro 生成或编辑图片的脚本技能。
用 whisper 命令行在本地把音频转写成文字或做翻译的技能。
通过 MCP 服务生成与编辑图表的技能。
面向界面设计的思路与落地建议技能,覆盖布局、交互流程、设计令牌与前端改动。
面向多家视频模型 API 的 AI 视频生成与编排技能。
用 ffmpeg 从视频里取出画面帧,或生成便于快速查看的缩略图。
用本地 Whisper 把音频文件转成文字,模型下载完成后可完全离线运行。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。