tools/video/p-video/SKILL.md
Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video
npx skillsauth add inference-sh/agent-skills-registry p-videoInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Generate videos with Pruna's optimized video models via inference.sh CLI.

Requires inference.sh CLI (
belt). Install instructions
belt login
belt app run pruna/p-video --input '{"prompt": "drone shot flying over a forest at sunset"}'
Pruna optimizes AI models for speed without sacrificing quality.
| Model | App ID | Best For |
|-------|--------|----------|
| P-Video | pruna/p-video | Text-to-video, image-to-video, with audio |
| WAN-T2V | pruna/wan-t2v | Text-to-video, 480p/720p |
| WAN-I2V | pruna/wan-i2v | Animate images, 480p/720p |
belt app run pruna/p-video --input '{
"prompt": "waves crashing on a beach at sunset",
"duration": 5,
"resolution": "720p"
}'
belt app run pruna/p-video --input '{
"prompt": "gentle camera movement, clouds drifting",
"image": "https://your-image.jpg"
}'
P-Video supports audio input that syncs with the video:
belt app run pruna/p-video --input '{
"prompt": "person talking in an interview setting",
"audio": "https://your-audio.mp3"
}'
Fast and economical text-to-video:
belt app run pruna/wan-t2v --input '{
"prompt": "a cat playing with a ball of yarn",
"resolution": "720p",
"duration": 5
}'
Animate any still image:
belt app run pruna/wan-i2v --input '{
"prompt": "gentle movement, natural motion, subtle breathing",
"image": "https://portrait.jpg",
"resolution": "720p"
}'
belt app run pruna/p-video --input '{
"prompt": "cinematic landscape with dramatic clouds",
"resolution": "1080p",
"duration": 5
}'
belt app run pruna/p-video --input '{
"prompt": "quick concept test video",
"draft": true
}'
| Model | Resolutions | Pricing | |-------|-------------|---------| | P-Video | 720p, 1080p | Per second, varies by resolution/draft | | WAN-T2V | 480p, 720p | $0.05 (480p), $0.10 (720p) per video | | WAN-I2V | 480p, 720p | $0.05 (480p), $0.11 (720p) per video |
belt app list --namespace pruna
# Full platform skill (all 250+ apps)
npx skills add inference-sh/skills@infsh-cli
# All video generation models
npx skills add inference-sh/skills@ai-video-generation
# Image-to-video guide
npx skills add inference-sh/skills@image-to-video
# Pruna image generation
npx skills add inference-sh/skills@p-image
# Text-to-speech (for video narration)
npx skills add inference-sh/skills@text-to-speech
Browse all apps: belt app list
development
Declarative UI widgets from JSON for React/Next.js from ui.inference.sh. Render rich interactive UIs from structured agent responses. Capabilities: forms, buttons, cards, layouts, inputs, selects, checkboxes. Use for: agent-generated UIs, dynamic forms, data display, interactive cards. Triggers: widgets, declarative ui, json ui, widget renderer, agent widgets, dynamic ui, form widgets, card widgets, shadcn widgets, structured output ui
tools
Tool lifecycle UI components for React/Next.js from ui.inference.sh. Display tool calls: pending, progress, approval required, results. Capabilities: tool status, progress indicators, approval flows, results display. Use for: showing agent tool calls, human-in-the-loop approvals, tool output. Triggers: tool ui, tool calls, tool status, tool approval, tool results, agent tools, mcp tools ui, function calling ui, tool lifecycle, tool pending
development
Chat UI building blocks for React/Next.js from ui.inference.sh. Components: container, messages, input, typing indicators, avatars. Capabilities: chat interfaces, message lists, input handling, streaming. Use for: building custom chat UIs, messaging interfaces, AI assistants. Triggers: chat ui, chat component, message list, chat input, shadcn chat, react chat, chat interface, messaging ui, conversation ui, chat building blocks
tools
Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in. Capabilities: drop-in agent, human-in-the-loop, client-side tools, form filling. Use for: building AI chat interfaces, agentic UIs, SaaS copilots, assistants. Triggers: agent component, agent ui, chat agent, shadcn agent, react agent, agentic ui, ai assistant ui, copilot ui, inference ui, human in the loop