jae c42cd9a062 feat: add 11 Venice AI skills as bundled defaults

Skills included:
- venice-chat: Chat with Venice LLM models, vision, reasoning
- venice-chat-benchmark: Benchmark chat models with infographics
- venice-image-gen: Generate images via Venice API
- venice-list-image-models: List available image models
- venice-list-text-models: List available text models
- venice-list-video-models: List available video models
- venice-tts: Text-to-speech via Venice API
- venice-video-generate: Generate videos from text/images
- venice-video-queue: Queue video generation jobs
- venice-video-quote: Get video generation cost quotes
- venice-video-retrieve: Retrieve completed videos

All rebranded from Agent Zero paths to Agent JAE (~/.jae/agent/skills/).
Requires VENICE_API_KEY environment variable.

2026-03-23 18:47:33 +01:00

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Venice Video Retrieve

Retrieve and download queued videos from Venice.ai. Automatically polls until generation is complete.

Requirements

VENICE_API_KEY environment variable
A queue_id from venice-video-queue

CLI Usage

python ~/.jae/agent/skills/venice-video-retrieve/scripts/retrieve_video.py MODEL QUEUE_ID [options]

Arguments

Argument	Required	Description
`MODEL`	Yes	Model that was used for generation
`QUEUE_ID`	Yes	Queue ID returned from queue_video

Options

Option	Short	Default	Description
`--output`	`-o`	Auto-generated	Output path for the video file
`--interval`	`-i`	`5`	Polling interval in seconds
`--max-wait`	`-w`	`600`	Maximum wait time in seconds
`--delete-after`		False	Delete from Venice servers after download
`--quiet`	`-q`	False	Suppress progress output
`--json`		False	Output result as JSON

Examples

Basic Retrieval

python ~/.jae/agent/skills/venice-video-retrieve/scripts/retrieve_video.py \
  wan-2.5-preview-text-to-video \
  abc123-def456-queue-id

Save to Specific Path

python ~/.jae/agent/skills/venice-video-retrieve/scripts/retrieve_video.py \
  wan-2.5-preview-text-to-video \
  abc123-def456-queue-id \
  --output /path/to/my_video.mp4

Custom Polling Settings

python ~/.jae/agent/skills/venice-video-retrieve/scripts/retrieve_video.py \
  wan-2.5-preview-text-to-video \
  abc123-def456-queue-id \
  --interval 10 \
  --max-wait 900

Quiet Mode with JSON Output

python ~/.jae/agent/skills/venice-video-retrieve/scripts/retrieve_video.py \
  wan-2.5-preview-text-to-video \
  abc123-def456-queue-id \
  --quiet --json
# Output: {"status": "completed", "path": "/root/venice_videos/video_1234567890.mp4"}

Output

Progress output during polling:

🎬 Retrieving video...
   Model:    wan-2.5-preview-text-to-video
   Queue ID: abc123-def456-...

  [5s] Status: pending | Progress: 10% ETA 45s
  [10s] Status: pending | Progress: 25% ETA 35s
  [15s] Status: pending | Progress: 50% ETA 20s
  [20s] Status: pending | Progress: 75% ETA 10s
  [25s] Status: completed | Progress: 100%
  ✅ Video ready!
  💾 Saved to: /root/venice_videos/video_1234567890.mp4

✅ Video saved to: /root/venice_videos/video_1234567890.mp4

Default Output Location

If no --output is specified, videos are saved to:

/root/venice_videos/video_<timestamp>.mp4

Error Handling

Exit Code	Meaning
`0`	Success
`1`	General error (API, network, etc.)
`2`	Timeout - generation took too long

Programmatic Usage

from retrieve_video import retrieve_and_save, poll_until_complete

# Full workflow: poll and save
path = retrieve_and_save(
    model="wan-2.5-preview-text-to-video",
    queue_id="abc123-def456",
    output_path="/path/to/video.mp4",
    poll_interval=5,
    max_wait=600
)
print(f"Saved to: {path}")

# Just poll (without saving)
result = poll_until_complete(
    model="wan-2.5-preview-text-to-video",
    queue_id="abc123-def456"
)
print(f"Status: {result.status}")
# Access result.video_data or result.video_url

Complete Workflow Example

# Step 1: Queue a video
python ~/.jae/agent/skills/venice-video-queue/scripts/queue_video.py "A cat playing piano" --json
# Output: {"model": "wan-2.5-preview-text-to-video", "queue_id": "abc123..."}

# Step 2: Retrieve the video
python ~/.jae/agent/skills/venice-video-retrieve/scripts/retrieve_video.py \
  wan-2.5-preview-text-to-video \
  abc123... \
  --output /root/cat_piano.mp4

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