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Flyworks Avatar Video

  • 349 installs
  • 424 repo stars
  • Updated June 8, 2026
  • freestylefly/canghe-skills

flyworks-avatar-video is a Claude Code skill that helps developers produce presenter-style avatar videos for product announcements, tutorials, onboarding, and social clips without live filming.

About

flyworks-avatar-video is a generative media skill for creating presenter-style avatar videos when products need human-feel explainer content without a video crew. It guides producing clips suited to product announcements, tutorial walkthroughs, onboarding sequences, and short social posts from scripts or talking points. Developers and technical content leads use it when documentation or UI copy exists but video assets lag behind release schedules. The skill emphasizes repeatable avatar-led production for engineering teams that ship features frequently and need consistent visual explainers tied to releases, demos, or in-app education flows.

  • Generates talking-head style videos from scripts or outlines
  • Supports tutorial, onboarding, and announcement formats
  • Scales video production without studio recording sessions
  • Pairs with launch campaigns and lifecycle education content

Flyworks Avatar Video by the numbers

  • 349 all-time installs (skills.sh)
  • Ranked #468 of 1,337 Generative Media skills by installs in the Skillselion catalog
  • Data as of Jul 31, 2026 (Skillselion catalog sync)
npx skills add https://github.com/freestylefly/canghe-skills --skill flyworks-avatar-video

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Listed on Skillselion
Installs349
repo stars424
Last updatedJune 8, 2026
Repositoryfreestylefly/canghe-skills

How do you create product tutorial videos without filming?

Produce presenter-style avatar videos for product announcements, tutorials, onboarding, and social clips when teams need human-feel media without filming.

Who is it for?

Development teams shipping frequent product updates who need scripted avatar videos for onboarding and announcements without a production crew.

Skip if: Projects requiring live-action footage, custom motion graphics pipelines, or broadcast-grade editorial control over every frame.

When should I use this skill?

A developer needs avatar-led product announcement, tutorial, onboarding, or social video without organizing a film shoot.

What you get

Presenter-style avatar video assets ready for announcements, onboarding, tutorials, or social distribution.

Files

SKILL.mdMarkdownGitHub ↗

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/ folder:

  • authentication.md - API token setup
  • avatars.md - Working with avatars
  • voices.md - Voice selection and cloning
  • 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 or flyworks.ai. 2. Get your API key from User Settings. 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
# 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

# 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

# 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:

   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:

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

Related skills

How it compares

Choose flyworks-avatar-video for scripted avatar explainers instead of general-purpose video editing or animation skills.

FAQ

What video types does flyworks-avatar-video cover?

flyworks-avatar-video covers presenter-style avatar videos for product announcements, tutorials, onboarding sequences, and social clips. The skill targets scripted explainers without live filming or a production crew.

Is flyworks-avatar-video a video editing suite?

flyworks-avatar-video focuses on generating avatar-led presenter clips from scripts, not frame-by-frame nonlinear editing. Teams needing full editorial control should pair output with a dedicated video editor.

Generative Mediacontentdistributionlifecycle

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