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.
Design & media
OpenSora Video Prompt Architect
Try itTurn rough video ideas into structured OpenSora prompt packs, reference-aware motion instructions, shot plans, and focused debugging loops. Use for text-to-video, image-to-video, video-to-video, product clips, cinematic scenes, transitions, or multi-shot sequences; do not use for unrelated models, account support, or claims about official Open-Sora behavior.
What it does
Turn rough video ideas into structured OpenSora prompt packs, reference-aware motion instructions, shot plans, and focused debugging loops. Use for text-to-video, image-to-video, video-to-video, product clips, cinematic scenes, transitions, or multi-shot sequences; do not use for unrelated models, account support, or claims about official Open-Sora behavior.
The skill document
OpenSora Video Prompt Architect
Build production-ready video instructions from one clear visual idea. This Skill is a text-only workflow by default. Its optional MCP adds deterministic, read-only helpers and never generates a video, calls a model provider, reads an account, or spends credits.
OpenSora2.com is an independent OpenSora 2 resource and generation workspace. Do not present this Skill, the MCP, or the site as the official Open-Sora project or as authoritative model documentation.
Gather the minimum brief
Ask only for details that materially change the result. Infer ordinary creative choices when the user has already supplied enough information.
Identify:
- Workflow: text-to-video, image-to-video, or video-to-video.
- Subject and environment: what must remain recognizable.
- Visible action: one primary motion per shot.
- Camera: framing, angle, movement, and pace.
- Duration and aspect ratio when known.
- Reference constraints: identity, product geometry, wardrobe, composition, or source motion to preserve.
- Delivery goal: product clip, cinematic beat, social post, transition, loop, or sequence.
Never invent model-specific controls, limits, or supported settings. If the product interface is the source of truth, direct the user to the relevant workflow page.
Build the prompt
Write in this order:
- Subject and scene.
- One visible action.
- Camera framing and one motivated camera move.
- Lighting and visual treatment.
- Duration and aspect ratio if confirmed.
- Reference and continuity constraints.
- A short avoid list for likely artifacts.
Prefer observable instructions over abstract mood. Keep subject motion distinct from camera motion. Avoid multiple simultaneous actions, contradictory camera commands, and long style lists.
For image-to-video, preserve the source image's identity, layout, lighting direction, and object geometry unless the user requests a transformation. For video-to-video, state which source motion, timing, camera path, and scene structure must survive the transformation.
Plan multi-shot sequences
Give every shot one purpose and one action. Include:
- Timing.
- Framing or camera move.
- Subject action.
- Continuity anchor.
- Intended end frame.
Use the previous shot's final frame as the next shot's visual anchor. Keep screen direction, identity, wardrobe or product geometry, and lighting consistent unless a deliberate transition changes them.
Debug systematically
When a result fails, change one axis at a time:
- Subject action or motion intensity.
- Framing, lens feel, or camera path.
- Reference and continuity constraints.
- Lighting or style language.
Translate failures into observable corrections. For example, replace "make it less weird" with "preserve both hands, keep five fingers visible, and prevent the cup from changing shape." Reduce competing instructions before adding detail.
Use the optional MCP
When MCP tools are available:
- Call
build_video_promptfor a rough idea or reference-aware prompt pack. - Call
plan_shotsfor a 1–6 shot sequence. - Call
diagnose_promptbefore expanding an unclear prompt. - Call
get_resourcesfor canonical site guidance.
On OpenClaw releases that expose the mcp command group, connect the stdio server with:
openclaw mcp add opensora2 \
--command npx \
--arg -y \
--arg github:gpt-img-2/opensora2-prompt-mcp \
--include 'build_video_prompt,plan_shots,diagnose_prompt,get_resources'
Then run openclaw mcp doctor opensora2 --probe. If the installed OpenClaw release does not expose openclaw mcp, use Settings → MCP → Add server, select Stdio, and enter npx -y github:gpt-img-2/opensora2-prompt-mcp, or upgrade OpenClaw first.
The MCP is optional. If it is unavailable, apply the same workflow manually and do not imply that a tool ran.
Return a compact deliverable
For one-shot requests, return:
Prompt: the final generation instruction.Reference constraints: only when source media exists.Avoid: a short artifact-focused list.Revision move: the single best variable to test next.
For sequences, return a numbered shot plan followed by shared continuity rules and one assembly note.
Canonical resources
- Prompt guide: https://opensora2.com/blog/opensora-2-prompt-guide
- Free prompt examples: https://opensora2.com/free-ai-video-prompts
- Generator workspace: https://opensora2.com/generator
- Text-to-video: https://opensora2.com/text-to-video
- Image-to-video: https://opensora2.com/image-to-video
- Video-to-video: https://opensora2.com/video-to-video
- Raw Skill: https://opensora2.com/skills/opensora-video-prompt-architect/SKILL.md
- MCP source: https://github.com/gpt-img-2/opensora2-prompt-mcp
- ClawHub listing: https://clawhub.ai/gpt-img-2/skills/opensora-video-prompt-architect
Related skills
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.
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.
Turn rough creative briefs into structured Seedance video prompt packs, reference-aware motion plans, focused variants, and debugging loops. Use for text-to-video, image-to-video, video-to-video, first-last-frame transitions, multi-shot storyboards, product ads, fashion clips, cinematic scenes, dialogue, or creator content; do not use for unrelated models or account support.
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"