据 AlphaMoat 统计,截至 2026-09,Flyworks Avatar Video 累计下载 4,845 次、获 10 个星标,在全部 5,078 个 AI 技能中排名第 1,938 位,在「设计创意」分类(512 个)中排名第 189 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 152 | 4,535 | 8 | - |
| SkillHub ↗ | 584 | 4,845 | 10 | — |
各平台的计数口径不同,统计时间不一致。
支持三种做法:用现成数字人配文本或音频出片、把单张照片做成会说话的视频、从音频样本克隆音色再用于合成。运行需要 Python 3 与到 hfw-api.hifly.cc 的网络连通,并配置 HIFLY_API_TOKEN。人脸图片、声音样本、提示词和生成内容可能发送给 Flyworks/HiFly。只使用用户拥有或获准分享的素材;克隆真实人物声音前须取得明确同意。共享 demo token 有水印和时长限制,且额度/账号影响不明确;先确认配额与费用,优先使用自己的 token。
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 | 4,845 | — | 10 |
| 2026-08 | 4,409 | +3.4% | 10 |
| 2026-07 | 4,263 | — | 10 |
| 2026-05 | 3,788 | — | 8 |
| 2026-03 | 3,137 | — | 7 |
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: flyworks-avatar-video description: Generate videos using Flyworks (a.k.a HiFly) Digital Humans. Create talking photo videos from images, use public avatars with TTS, or clone voices for custom audio. license: MIT compatibility: Requires Python 3 and network access to hfw-api.hifly.cc --- # Avatar Video Generation Skill This skill allows you to generate videos using Flyworks (a.k.a HiFly 飞影数字人) Digital Humans. Available features:
1. **Public Avatar Video**: Create video from text or audio using pre-made highly realistic avatars.
2. **Talking Photo**: Create a "talking photo" video from a single image and text/audio.
3. **Voice Cloning**: Clone a voice from an audio sample to use in TTS.
For detailed documentation, see the [references/](references/) folder:
- [authentication.md](references/authentication.md) - API token setup
- [avatars.md](references/avatars.md) - Working with avatars
- [voices.md](references/voices.md) - Voice selection and cloning
- [video-generation.md](references/video-generation.md) - Video creation workflow
## API Token & Limitations
This skill works with a default free-tier token, but it has limitations:
- **Watermark**: Generated videos will have a watermark.
- **Duration Limit**: Videos are limited to 30 seconds.
**To remove limitations:**
1. Register at [hifly.cc](https://hifly.cc) or [flyworks.ai](https://flyworks.ai).
2. Get your API key from [User Settings](https://hifly.cc/setting).
3. Set the environment variable: `export HIFLY_API_TOKEN="your_token_here"`
## Tools
### `scripts/hifly_client.py`
The main entry point for all operations.
#### Usage
```bash
# List available public avatars
python scripts/hifly_client.py list_public_avatars
# List available public voices
python scripts/hifly_client.py list_public_voices
# Create a video with a public avatar (TTS)
python scripts/hifly_client.py create_video --type tts --text "Hello world" --avatar "avatar_id_or_alias" --voice "voice_id_or_alias"
# Create a video with a public avatar (Audio URL or File)
python scripts/hifly_client.py create_video --audio "https://... or path/to/audio.mp3" --avatar "avatar_id_or_alias"
# Create a talked photo video using bundled assets
python scripts/hifly_client.py create_talking_photo --image assets/avatar.png --title "Bundled Avatar"
# Clone a voice using bundled assets
python scripts/hifly_client.py clone_voice --audio assets/voice.MP3 --title "Bundled Voice"
# Check status of generated tasks
python scripts/hifly_client.py check_task --id "TASK_ID"
# Manage local aliases (saved in memory.json)
python scripts/hifly_client.py manage_memory add my_avatar "av_12345"
python scripts/hifly_client.py manage_memory list
```
## Examples
### 1. Create a simple greeting video
```bash
# First find a voice and avatar
python scripts/hifly_client.py list_public_avatars
python scripts/hifly_client.py list_public_voices
# Generate
python scripts/hifly_client.py create_video --type tts --text "Welcome to our service." --avatar "av_public_01" --voice "voice_public_01"
```
### 2. Use a custom talking photo
```bash
# Create the avatar from an image URL
python scripts/hifly_client.py create_talking_photo --image "https://mysite.com/photo.jpg" --title "CEO Photo"
# Output will give you an Avatar ID, e.g., av_custom_99
# Save it to memory
python scripts/hifly_client.py manage_memory add ceo av_custom_99
# Generate video using the new avatar
python scripts/hifly_client.py create_video --type tts --text "Here is the quarterly report." --avatar ceo --voice "voice_public_01"
```
## Agent Behavior Guidelines
When assisting users with video generation, follow these guidelines:
### Voice Selection Required
**Video generation requires both text AND a voice.** If the user provides text but no voice:
1. **Check local memory first**: Run `manage_memory list` to see if the user has saved any voice aliases.
2. **Ask the user to choose**:
- "I see you want to create a video with the text '[text]'. Which voice would you like to use?"
- If they have saved voices: "You have these saved voices: [list]. Or would you prefer a public voice?"
- If no saved voices: "Would you like to use a public voice, or clone your own voice from an audio sample first?"
3. **Help them select**:
- To see public voices: `list_public_voices`
- To clone a voice: `clone_voice --audio [file] --title [name]`
### Complete Workflow Example
For a prompt like *"Create a talking photo video from my photo saying 'this is my AI twin'"*:
1. Ask: "Which voice would you like for your AI twin? You can use a public voice or clone your own."
2. If they want to clone: Help them with `clone_voice`
3. Create the talking photo with both text and voice:
```bash
python scripts/hifly_client.py create_talking_photo \
--image user_photo.jpg \
--text "this is my AI twin" \
--voice SELECTED_VOICE_ID \
--title "My AI Twin"
```
### Saving for Later
After creating avatars or cloning voices, offer to save them:
```bash
python scripts/hifly_client.py manage_memory add my_avatar AVATAR_ID --kind avatar
python scripts/hifly_client.py manage_memory add my_voice VOICE_ID --kind voice
```
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。