據 AlphaMoat 統計,截至 2026-09,Flyworks Avatar Video 累計下載 4,845 次、獲 10 個星標,在全部 5,078 個 AI 技能中排名第 1,938 位,在「設計創意」分類(512 個)中排名第 189 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 152 | 4535 | 8 | - |
| SkillHub ↗ | 584 | 4845 | 10 | — |
各平台的計數口徑不同,統計時間不一致。
支援三種做法:用現成數位人配文字或音訊出片、把單張照片做成會說話的影片、從音訊樣本克隆音色再用於合成。執行需要 Python 3 與到 hfw-api.hifly.cc 的網路連通,並配置 HIFLY_API_TOKEN。人臉圖片、聲音樣本、提示詞和生成內容可能傳送給 Flyworks/HiFly。只使用使用者擁有或獲准分享的素材;複製真實人物聲音前須取得明確同意。共用 demo token 有浮水印和時長限制,且額度/帳號影響不明;先確認配額與費用,優先使用自己的 token。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4845 | — | 10 |
| 2026-08 | 4409 | +3.4% | 10 |
| 2026-07 | 4263 | — | 10 |
| 2026-05 | 3788 | — | 8 |
| 2026-03 | 3137 | — | 7 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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 架構圖一鍵生成
用 Nano Banana Pro 生成或編輯圖片的指令碼技能。
用 whisper 命令列工具在本機將音訊轉成文字或進行翻譯。
透過 MCP 服務生成與編輯圖表的技能。
面向介面設計的思路與落地建議技能,覆蓋佈局、互動流程、設計令牌與前端改動。
面向多家影片模型 API 的 AI 影片生成與編排技能。
用 ffmpeg 從影片裡取出畫面幀,或生成便於快速檢視的縮圖。
用本地 Whisper 把音訊檔案轉成文字,模型下載完成後可完全離線執行。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。