wonda

★ 132

Claude Code plugin · degausai/wonda

AI-powered content generation from your terminal — images, video, music, audio, editing, and social publishing

1 skills — installs as one unit

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⌁ skills (1)

wonda-cli

🔥🔥🔥✓ Verified

Using the Wonda CLI to generate images, videos, music, and audio from the terminal — plus LinkedIn, Reddit, and X/Twitter research and automation

Full instructions & audit →

AI-powered content generation from your terminal

Images, video, music, audio, editing, and social publishing — all via CLI.

You don't need to learn this CLI. Your agent already knows how to use it.

and any agent that can run shell commands.

Get started

wonda auth login          # Authenticate (opens browser)
wonda skill install -o .  # Install skill file for your AI assistant

Then ask your agent: "Use wonda to generate a product video of this image."

Made with wonda

Product content AI-generated content Ad creative Product ad

Product videos, UGC-style content, ad creatives — generated, edited, and published from the terminal.

Pricing

An account is required. Sign up at wonda.sh.

Generations cost credits. Top up anytime:

wonda topup    # Add credits
wonda balance  # Check remaining credits

Use wonda pricing estimate to check costs before generating.

Examples

Generate an image

wonda generate image \
  --model nano-banana-2 \
  --prompt "Product photo of headphones on marble" \
  --wait -o photo.png

Generate a video from a reference image

MEDIA=$(wonda media upload ./product.jpg --quiet)
wonda generate video --model sora2 \
  --prompt "Slow orbit, dramatic lighting" \
  --attach "$MEDIA" --duration 8 --wait -o video.mp4

Add animated captions (TikTok-style)

wonda edit video --operation animatedCaptions --media "$VID_MEDIA" \
  --params '{"fontFamily":"TikTok Sans","position":"bottom-center","highlightColor":"#FFD700"}' \
  --wait -o captioned.mp4

Full pipeline: generate → music → captions → publish

# Generate a product video
VID=$(wonda generate video --model sora2 --prompt "Ocean waves" --wait --quiet)
VID_MEDIA=$(wonda jobs get inference "$VID" --jq '.outputs[0].media.mediaId')

# Add background music
MUSIC=$(wonda generate music --model suno-music --prompt "lo-fi ambient" --wait --quiet)
MUSIC_MEDIA=$(wonda jobs get inference "$MUSIC" --jq '.outputs[0].media.mediaId')
MIXED=$(wonda edit video --operation editAudio --media "$VID_MEDIA" --audio-media "$MUSIC_MEDIA" \
  --params '{"videoVolume":80,"audioVolume":30}' --wait --quiet)
MIXED_MEDIA=$(wonda jobs get editor "$MIXED" --jq '.outputs[0].mediaId')

# Burn in animated captions
FINAL=$(wonda edit video --operation animatedCaptions --media "$MIXED_MEDIA" \
  --params '{"fontFamily":"Montserrat","position":"bottom-center"}' --wait --quiet)
FINAL_MEDIA=$(wonda jobs get editor "$FINAL" --jq '.outputs[0].mediaId')

# Publish
wonda publish tiktok --media "$FINAL_MEDIA" --account tiktok_acct_123 \
  --caption "Summer vibes" --privacy-level PUBLIC_TO_EVERYONE

Publish to Instagram

wonda publish instagram \
  --media med_abc123 \
  --account ig_acct_456 \
  --caption "New drop. Link in bio."

Output formats

All commands output JSON to stdout. Errors go to stderr.

# Default — formatted JSON
wonda generate image --model nano-banana-2 --prompt "A cat"

# Quiet — just the ID, useful for shell variables
JOB=$(wonda generate image --model nano-banana-2 --prompt "A cat" --quiet)

# Field selection
wonda jobs get inference "$JOB" --fields status,outputs

# Built-in jq (no external dependency)
wonda generate image --model nano-banana-2 --prompt "A cat" --wait \
  --jq '.outputs[0].media.url'

When stdout is piped, JSON mode is enabled automatically.

AI agent integration

Just point your agent at wonda — it reads --help, finds the built-in skill file, and figures out model selection, prompt strategies, and content workflows on its own.

wonda skill install              # Sync skill file to ~/.wonda/skill/
wonda skill install --all -o .   # Install main + all content skills locally
wonda skill list                 # Browse available content skills
wonda skill get product-b-roll   # Fetch a specific content guide

The skill file auto-syncs in the background. No configuration needed — your agent discovers it automatically.

Platforms

macOS · Linux · Windows — x64 + ARM64