video-prompting

Video Prompting

Overview

Turn a user’s intent into a strong, model-compliant video prompt.

Model-specific video guidance lives in references/models/. This file is the entry point: identify the model, ask the minimum clarifying questions, then draft the prompt in the expected format.

For character reference sheets / turnarounds (consistency before image-to-video), hand off to the character-design-sheet skill. For multi-shot planning, hand off to ai-video-storyboard.

Model Index

• Ovi: references/models/ovi/prompting.md
• Sora (Sora 2): references/models/sora/prompting.md
• Veo 3 / 3.1: references/models/veo3/prompting.md
• Wan 2.2: references/models/wan22/prompting.md
• Seedance 2.0: references/models/seedance2/prompting.md
• Kling (1.x–3.0): references/models/kling/prompting.md
• LTX-2: references/models/ltx2/prompting.md
• LTX-2.3: references/models/ltx2-3/prompting.md

To add a new model later: create references/models/<model>/prompting.md, then add it to this index.

Global video-prompt rules

These rules apply to every video model reference:

• Never include the model name, model version, duration, aspect ratio, resolution, or API/control parameter names in the final prompt text. Those are selected outside the prompt.
• Use duration only as internal planning context for how many action beats the prompt can support.
• If the user asks for parameters or the model requires them, provide them outside the prompt in a separate recommended-parameters line.
• For image-to-video, treat the image as the visual anchor. Do not describe the image in depth unless the user asks for an image analysis or a detail must change. Focus the prompt on motion, camera, emotion/performance, and audio.

Workflow

Step 1 — Route the request

If the user wants a reusable reference sheet, turnaround, expression sheet, or other consistent-character starting point, hand off to the character-design-sheet skill first, then come back here for the video prompt.

Step 2 — Identify the model and input mode

If the user did not name a model, ask which model they are using (or offer supported options from the Model Index).

Then confirm the input mode:

• Text-to-video (t2v), or
• Image-to-video (i2v)

If i2v: ask the user to share the image (optional, but it will help you generate a better prompt). Use the image as an anchor according to the chosen model’s guidance (e.g., keep identity/wardrobe/composition stable; focus your text on motion/camera/what changes).

If the chosen model has versions, duration constraints, or required parameters, ask the minimum questions needed to select the right format (see the model guide). For LTX-2.3 specifically: default to 10 seconds as the external duration setting when duration is missing, ask if the user wants shorter or longer, and scale motion complexity to match that duration. Do not write the duration into the prompt itself.

Step 3 — Load the correct reference and follow its format

Open the model’s prompting.md from the Model Index and follow its rules strictly.

Step 4 — Draft the prompt in the right form

Draft the prompt using the structure and constraints from the model’s prompting.md, including its preferred section order, dialogue/audio format, and any shot-structure guidance. Before returning a video prompt, remove any prompt-internal references to model name/version, clip length, aspect ratio, resolution, or generation settings.

Step 5 — Output

Default: output only the final prompt text. Default formatting: output prompts as a single line with no line breaks unless the user explicitly requests multiline formatting.

If the user asks for options: provide 2–3 distinct prompt variants, each fully self-contained and compliant with the model’s formatting.

If the model uses required API parameters (e.g., duration/size), include a short “Recommended parameters” line only when the user has specified them or explicitly asks for them.