Turn rough China AI video ideas into structured English or Chinese prompt packs, reference-aware motion instructions, shot plans, and focused debugging loops. Use for text-to-video, image-to-video, reference-to-video, video-to-video, product clips, cinematic scenes, transitions, or multi-shot sequences; do not use for account support, live model comparisons, or claims about official provider behavior.
设计与多媒体
OXVODO Motion Prompt Architect
试用Turn rough creative ideas into structured English or Chinese motion prompts, reference bindings, shot sequences, and focused debugging loops. Use for text-to-video, image-to-video, reference-to-video, video-to-video, product motion, cinematic scenes, transitions, or loops; do not use for account support, live model comparisons, or claims about official provider behavior.
它能做什么
Turn rough creative ideas into structured English or Chinese motion prompts, reference bindings, shot sequences, and focused debugging loops. Use for text-to-video, image-to-video, reference-to-video, video-to-video, product motion, cinematic scenes, transitions, or loops; do not use for account support, live model comparisons, or claims about official provider behavior.
技能文档
OXVODO Motion Prompt Architect
Turn one visual idea into production-ready motion instructions. This Skill is a text-only workflow by default. Its optional MCP adds deterministic, read-only helpers and never generates media, calls a provider, reads an account, compares live prices, or spends credits.
OXVODO is an independent creative motion workspace. Do not present this Skill, the MCP, or the site as official documentation for OpenSora, Seedance, Kling, Wan, or any other provider or model.
Gather the minimum brief
Identify only details that materially change the result:
- Workflow: text-to-video, image-to-video, reference-to-video, or video-to-video.
- Subject and environment.
- One primary visible subject action per shot.
- Camera framing, movement, and pace.
- Duration and aspect ratio when known.
- The exact role of each
@Image,@Video, or@Audioreference. - Identity, product geometry, composition, motion, timing, or audio that must remain stable.
- Delivery goal: product motion, cinematic beat, social clip, transition, loop, or sequence.
Never invent model-specific controls, limits, input support, prices, or availability. Use the current product interface when exact settings matter.
Separate subject motion from camera motion
Write in this order:
- Subject and scene.
- One observable subject action.
- Camera framing and one motivated camera move.
- Lighting and visual treatment.
- Duration and aspect ratio if confirmed.
- Reference bindings and continuity constraints.
- A short artifact-focused avoid list.
Subject motion describes what changes inside the scene. Camera motion describes how the viewpoint changes. Never combine competing actions or contradictory camera moves in one shot.
For image-to-video, preserve identity, layout, lighting direction, and geometry unless transformation is requested. For reference-to-video, preserve every token exactly and assign one role per reference. For video-to-video, state which source motion, timing, camera path, and scene structure must survive.
Write in the user's language unless another is requested. Never translate, renumber, or remove @Image1, @Video1, or @Audio1-style tokens.
Plan sequences
Give every shot one purpose and one action. Include timing, framing, subject action, reference binding, continuity anchor, and intended end frame. Use each final frame as the next shot's visual anchor. Preserve screen direction, identity, wardrobe or product geometry, and lighting unless a deliberate transition changes them.
Debug one axis at a time
Revise in this order:
- Subject motion.
- Camera motion or framing.
- Reference bindings and continuity constraints.
- Lighting or visual treatment.
Translate vague failures into observable corrections and remove competing instructions before adding detail.
Use the optional MCP
build_motion_promptcreates a structured prompt pack.plan_reference_sequencecreates a 1–6 shot plan.diagnose_media_promptidentifies missing controls.get_oxvodo_resourcesreturns canonical site resources.
Connect the stdio server with:
openclaw mcp add oxvodo \
--command npx \
--arg -y \
--arg github:gpt-img-2/oxvodo-prompt-mcp \
--include 'build_motion_prompt,plan_reference_sequence,diagnose_media_prompt,get_oxvodo_resources'
Then run openclaw mcp doctor oxvodo --probe. If the installed release lacks the mcp command group, add npx -y github:gpt-img-2/oxvodo-prompt-mcp as a Stdio server in MCP settings. The MCP is optional; never imply it ran when unavailable.
Return a compact deliverable
For one shot, return Prompt, optional Reference bindings, Continuity constraints, Avoid, and one Revision move. For sequences, return a numbered shot plan, shared continuity rules, and one assembly note.
Canonical resources
- Free AI video prompts: https://oxvodo.com/free-ai-video-prompts
- OpenSora 2 prompt guide: https://oxvodo.com/blog/opensora-2-prompt-guide
- OpenSora image-to-video guide: https://oxvodo.com/blog/opensora-image-to-video-guide
- Generator: https://oxvodo.com/generator
- Text-to-video: https://oxvodo.com/text-to-video
- Image-to-video: https://oxvodo.com/image-to-video
- Video-to-video: https://oxvodo.com/video-to-video
- Raw Skill: https://oxvodo.com/skills/oxvodo-motion-prompt-architect/SKILL.md
- MCP source: https://github.com/gpt-img-2/oxvodo-prompt-mcp
- ClawHub listing: https://clawhub.ai/gpt-img-2/skills/oxvodo-motion-prompt-architect
相关技能
Turn rough video ideas into structured English or Chinese prompt packs, reference-aware sequences, continuity rules, and focused debugging loops. Use for text-to-video, image-to-video, reference-to-video, video-to-video, product clips, cinematic scenes, or multi-shot work; do not use for account support, live model comparisons, or claims about official provider behavior.
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Turn rough video ideas into structured English or Chinese Seedance-oriented prompt packs, exact reference bindings, shot sequences, and focused debugging loops. Use for text-to-video, image-to-video, multimodal reference, product clips, cinematic scenes, transitions, or loops; do not use for account support, live model comparisons, or claims about official provider behavior.
Generates structured, high-quality prompts for AI video and image generation models. Transforms natural language descriptions into optimized prompts adapted for 18 models including Happy Horse, Seedance, Kling, Pika, Midjourney, Recraft, FLUX, and more. Use when creating video prompts, image prompts, product images, posters, or adapting prompts across different AI generation models. Triggers: "生成视频提示词", "视频prompt", "文生视频", "图生视频", "文生图", "商品图", "海报生成", "AI生成提示词", "prompt architect", "media prompt"