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Agent-JAE/default-skills/venice-video-generate/SKILL.md
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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name description version author tags trigger_patterns
venice-video-generate Generate complete video from prompt to saved file in single operation. Handles queue, poll, retrieve, save with progress logging. 1.0.0 Agent JAE
venice
api
video
generation
complete
text-to-video
image-to-video
generate video
create video
make video
video from prompt
text to video
image to video

Venice Video Generate (Full Lifecycle)

Generate complete video from prompt to saved file in a single operation.

When to Use

Use this skill when you need to:

  • Generate video from text prompt (text-to-video)
  • Generate video from image (image-to-video)
  • Complete video generation with automatic polling and saving

This is the recommended approach - it combines queue + poll + retrieve + save into one call.

Usage

Quick Start (Text-to-Video)

python ~/.jae/agent/skills/venice-video-generate/scripts/generate_video.py "A cat playing piano"

With Options

python ~/.jae/agent/skills/venice-video-generate/scripts/generate_video.py "Ocean waves at sunset" \
  --model kling-2.6-pro-text-to-video \
  --duration 10s \
  --resolution 1080p

Image-to-Video

python ~/.jae/agent/skills/venice-video-generate/scripts/generate_video.py "Make this image come alive" \
  --image /path/to/image.png \
  --model wan-2.5-preview-image-to-video

Progress Logging (Every 20 Seconds)

[14:32:15] START: Queueing video generation with model: wan-2.5-preview-text-to-video
[14:32:15] CONFIG: duration=5s, resolution=720p, aspect_ratio=16:9
[14:32:16] QUEUED: queue_id=abc123-def456
[14:32:36] PROGRESS: 20s elapsed | [====----------------] 25% | ETA: 45s | status: processing
[14:32:56] PROGRESS: 40s elapsed | [==========----------] 55% | ETA: 25s | status: processing
[14:33:16] PROGRESS: 60s elapsed | [================----] 85% | ETA: 8s | status: processing
[14:33:21] COMPLETE: Video saved to /root/venice_videos/video_20260131_143321_abc123.mp4

Result Output

======================================================================
RESULT: SUCCESS
VIDEO_PATH: /root/venice_videos/video_20260131_143321_abc123.mp4
ELAPSED_SECONDS: 65.3
QUEUE_ID: abc123-def456-...
MODEL: wan-2.5-preview-text-to-video
======================================================================

Common Options

Option Default Description
--model, -m wan-2.5-preview-text-to-video Venice model ID
--duration, -d 5s Video duration (5s, 10s, etc.)
--resolution, -r 720p Video resolution
--aspect-ratio, -a 16:9 Aspect ratio (16:9, 9:16, 1:1)
--audio off Enable audio generation
--image, -i none Input image (for image-to-video)
--output, -o auto Custom output path
--max-wait 900 Max wait seconds (15 min)

Model Selection

Text-to-Video

  • wan-2.5-preview-text-to-video - Default, fast, good quality
  • kling-2.6-pro-text-to-video - Higher quality, slower
  • veo3.1-full-text-to-video - Google Veo, excellent but expensive

Image-to-Video

  • wan-2.5-preview-image-to-video - Fast, reliable
  • veo3.1-full-image-to-video - Premium quality

Expected Generation Times

Model Type 5s Video 10s Video
Wan 2.5 30-60s 60-120s
Kling 2.6 Pro 60-120s 120-240s
Veo 3.1 90-180s 180-360s

Python Import

import sys
sys.path.insert(0, '~/.jae/agent/skills/venice-video-generate/scripts')
from generate_video import generate_video, GenerationResult

result = generate_video(
    prompt="A beautiful sunset over mountains",
    model="wan-2.5-preview-text-to-video",
    duration="5s",
    verbose=True
)

if result.success:
    print(f"Video saved: {result.video_path}")
else:
    print(f"Failed: {result.error}")

Default Output Directory

/root/venice_videos/ (auto-created)

Requirements

  • VENICE_API_KEY environment variable