jordanurbs

Use when calling any of the venice-video-mcp tools and you need a concrete, copyable example of the tool arguments. Provides one example per action across all 6 tools, with every argument spelled out and reasonable defaults explained.

Use when the user asks the agent to drive the venice-video-mcp server end-to-end

Use when writing or improving the creative content of a venice-video-mcp production

Use when a venice-video-mcp tool call fails, returns ok=false, hangs, produces wrong output (wrong aspect ratio, character drift, duration error, missing audio), or when the agent needs to know which production gotchas to avoid before driving an expensive operation. Catalogs every known failure mode with cause and fix.

This skill should be used when generating images or videos via Venice AI, selecting models, attaching reference images, choosing frame sources, or adapting prompts for character consistency. Includes executable Python scripts for image generation, video generation, image editing, and upscaling. Covers R2V-first model routing (characters present → R2V, no characters → action/atmosphere), elements vs reference_image_urls, frame chaining vs panel start, two-pass image pipeline routing, and prompt adaptation per model. Applicable to any project generating multi-shot video content via the Venice AI API.