Draft and refine prompts for video generation models (including text-to-video, image/keyframe-to-video, and reference-driven generation), and create character-sheet prompts for image models when the…

Apache-2.0Auto-check passedMedia & Creative

Install Video Prompting

skills CLI
$ npx skills add Square-Zero-Labs/video-prompting-skill --skill video-prompting -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Square-Zero-Labs/video-prompting-skill video-prompting --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Square-Zero-Labs/video-prompting-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/video-prompting .claude/skills/video-prompting && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
video-prompting
GitHub stars
182
Token cost
~1.9k tokens
SKILL.md length
964 words
Files
27 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
Apache-2.0

At a glance

Draft and refine prompts for video generation models (including text-to-video, image/keyframe-to-video, and reference-driven generation), and create character-sheet prompts for image models when the…

  • Works in 5 steps: Route the request → If it is a video prompt, identify the… → Load the correct reference and follow… → …
  • A user asks for a video prompt
  • SKILL.md covers Overview, Model Index, Workflow Index and Global video-prompt rules, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Video Prompting is an agent skill from Square-Zero-Labs/video-prompting-skill. Draft and refine prompts for video generation models (including text-to-video, image/keyframe-to-video, and reference-driven generation), and create character-sheet prompts for image models when the goal is character consistency before image-to-video. Use when a user asks for a "video prompt", a model-specific prompt such as MiniMax H3, Seedance 2.0, Seedance 2.5, Ovi, Veo 3, Wan 2.2, Wan Animate 2, LTX-2, LTX-2.3, or LTX-2.5, or a consistent-character prompt such as "character sheet prompt", "character…

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 36 other files, including reference files (for example `references/models/ltx2-3/prompting.md`, `references/models/ltx2-5/prompting.md` and `references/models/ltx2/example_prompts/ltx2_examples.md`).

It sits in Media & Creative, covering AI video generation. It works with Seedance, MiniMax and Google Veo. The repository describes itself as: AI Agent Skill for Prompting Video Models. The licence is Apache-2.0.

When your agent uses it

  • A user asks for a video prompt
  • A model-specific prompt such as MiniMax H3
  • A consistent-character prompt such as character sheet prompt
  • Character turnaround

Example prompts

  • “video prompt”
  • “character sheet prompt”
  • “character turnaround”
  • “/video-prompting”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Route the request
  2. If it is a video prompt, identify the model and input mode
  3. Load the correct reference and follow its format
  4. Draft the prompt in the right form
  5. Output

What it can do on your machine

Read from SKILL.md and the folder at commit 8d72999. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Video Prompting loads about 1.9k tokens when it runs, and up to ~51k if it reads all its reference files. Until then it costs about 150 tokens; SKILL.md has 964 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~150
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~51k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Square-Zero-Labs/video-prompting-skill at commit 8d72999, republished under its Apache-2.0 licence (© Square-Zero-Labs). 964 words, ~1,936 tokens.

Download SKILL.mdSave it as .claude/skills/video-prompting/SKILL.md (or your agent's skills folder). This skill also uses 26 other files; get the full folder from GitHub.
name
video-prompting
description
Draft and refine prompts for video generation models (including text-to-video, image/keyframe-to-video, and reference-driven generation), and create character-sheet prompts for image models when the goal is character consistency before image-to-video. Use when a user asks for a "video prompt", a model-specific prompt such as MiniMax H3, Seedance 2.0, Seedance 2.5, Ovi, Veo 3, Wan 2.2, Wan Animate 2, LTX-2, LTX-2.3, or LTX-2.5, or a consistent-character prompt such as "character sheet prompt", "character turnaround", "character reference sheet", or "photographic identity sheet".

Video Prompting

Overview

Turn a user’s intent into either:

  • a strong, model-compliant video prompt, or
  • a strong image-model prompt for a character sheet that will later support image-to-video consistency.

Model-specific video guidance lives in references/models/. Character-sheet guidance lives in references/workflows/character-sheets.md. This file is the entry point: route to the right path, ask the minimum clarifying questions, then draft the prompt in the expected format.

Model Index

  • Ovi: references/models/ovi/prompting.md
  • Veo 3 / 3.1: references/models/veo3/prompting.md
  • Wan 2.2: references/models/wan22/prompting.md
  • Wan Animate 2: references/models/wan-animate-2/prompting.md
  • Seedance 2.0: references/models/seedance2/prompting.md
  • Seedance 2.5: references/models/seedance2-5/prompting.md
  • MiniMax H3: references/models/minimax-h3/prompting.md
  • LTX-2: references/models/ltx2/prompting.md
  • LTX-2.3: references/models/ltx2-3/prompting.md
  • LTX-2.5: references/models/ltx2-5/prompting.md

Workflow Index

  • Character sheets for consistent characters: references/workflows/character-sheets.md

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

To add a new workflow later: create references/workflows/<workflow>.md, then add it to the Workflow 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 unless the selected model's required prompt schema explicitly includes timing. MiniMax H3 alignment instructions and shot timestamps are such an exception.
  • Otherwise, 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

Decide whether the user wants:

  • a video-generation prompt, or
  • a character-sheet prompt for an image model

Route to the character-sheet workflow when the user wants a reusable reference sheet, turnaround, expression sheet, costume sheet, photographic identity sheet, or a consistent-character starting point for a longer image-to-video project.

If the user is asking for both, do them in this order:

  1. Character sheet
  2. Scene still / anchor frame
  3. Video prompt
Step 2 — If it is a video prompt, 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. Start with text-to-video (t2v) or image-to-video (i2v), and use any additional keyframe or full-reference modes supported by the selected model guide.

For MiniMax H3, distinguish T2VA, I2VA, first-and-last-frame-to-video (FL2VA), last-frame-to-video (L2VA), and full-reference mode. Ask for the effective duration when a final-frame alignment or timed cuts require it.

For Seedance 2.5, distinguish text-to-video, image-to-video, reference-to-video, edit, and extend. Ask for the effective duration when a multi-beat timeline is needed, and ask for the intended ending state on long or continuity-sensitive shots. Recommend the shortest duration that fits the action instead of defaulting every request to the model's maximum.

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.

For LTX-2.5 specifically: distinguish a continuous single shot from a native multi-shot scene, screenplay-style dialogue, Dub-It speech replacement, and Video Editing IC-LoRA. When the user asks for settings, no fixed length is required, and the interface supports it, recommend automatic duration as an external setting. Use a fixed external duration when last-frame conditioning is supplied. Do not write duration or setting names into the prompt itself.

Show full SKILL.md (317 more words)Show less
Step 3 — Load the correct reference and follow its format

For video prompts: open the model’s prompting.md from the Model Index and follow its rules strictly.

For character sheets: open references/workflows/character-sheets.md and follow its structure strictly. Treat this as an image-model prompt, not a video-model prompt.

Step 4 — Draft the prompt in the right form

Draft the prompt using the structure and constraints from the markdown file you selected in Step 3.

For video prompts: follow the chosen model’s prompting.md exactly, 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 except timing required by the selected model's prompt schema.

For character sheets: follow references/workflows/character-sheets.md exactly, including layout, consistency constraints, and expression-row guidance.

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 or the selected model guide requires a structured multiline schema. MiniMax H3 is such an exception: preserve its required field names, line order, and blank-line separation. Seedance 2.5 is another exception for complex timed or reference-driven shots: preserve the guide's production-note sections and timeline line breaks. For LTX-2.5, preserve multiline screenplay formatting when dialogue or beat clarity benefits from it; keep single-shot, image-to-video, and multi-shot prose as one paragraph by default.

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.

If the user wants the full consistency workflow, after the character-sheet prompt also provide:

  • one prompt for a first scene still that uses the character sheet as reference, and
  • one prompt for the follow-on image-to-video shot

© Square-Zero-Labs, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 26 other files (references) in video-prompting of Square-Zero-Labs/video-prompting-skill.

  • SKILL.md
  • references/models/ltx2-3/prompting.md
  • references/models/ltx2-5/prompting.md
  • references/models/ltx2/example_prompts/ltx2_examples.md
  • references/models/ltx2/prompting.md
  • references/models/minimax-h3/example_prompts/full_reference_performance_transfer.md
  • references/models/minimax-h3/example_prompts/motion_graphics_trailer.md
  • references/models/minimax-h3/prompting.md
  • references/models/ovi/example_prompts/gpt_examples_10s_i2v.csv
  • references/models/ovi/example_prompts/gpt_examples_10s_t2v.csv
  • references/models/ovi/example_prompts/gpt_examples_i2v.csv
  • … and 16 more

Open the folder on GitHubat commit 8d72999

Compare with similar skills

Video Prompting next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Video Prompting compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Video Prompting this skillSquare-Zero-Labs/video-prompting-skill182—~1.9kAutomated safety check: PassApache-2.0
Higgsfield ModelsOSideMedia/higgsfield-ai-prompt-skill707—~7kAutomated safety check: PassMIT
Video Audio Continuitynodetool-ai/nodetool560—~1.2kAutomated safety check: PassAGPL-3.0
HiggsfieldOSideMedia/higgsfield-ai-prompt-skill707—~9.1kAutomated safety check: PassMIT
VideoNexus-JPF/note-companion8703 repos~3.6kAutomated safety check: PassMIT
AI Video Gencalesthio/OpenMontage66k—~3kAutomated safety check: PassAGPL-3.0

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Questions about Video Prompting

What does Video Prompting do?

Draft and refine prompts for video generation models (including text-to-video, image/keyframe-to-video, and reference-driven generation), and create character-sheet prompts for image models when the…. Video Prompting is an agent skill from Square-Zero-Labs/video-prompting-skill. Draft and refine prompts for video generation models (including text-to-video, image/keyframe-to-video, and reference-driven generation), and create character-sheet prompts for image models when the goal is character consistency before image-to-video.

When should I use Video Prompting?

Video Prompting fits situations like: A user asks for a video prompt; A model-specific prompt such as MiniMax H3; A consistent-character prompt such as character sheet prompt; character turnaround.

How do I install Video Prompting in Claude Code?

Run `npx skills add Square-Zero-Labs/video-prompting-skill --skill video-prompting -a claude-code`. Or copy the skill folder (video-prompting in Square-Zero-Labs/video-prompting-skill) into .claude/skills/video-prompting in your project. Claude Code loads it when a task matches its description.

How do I install Video Prompting in Codex?

Run `npx skills add Square-Zero-Labs/video-prompting-skill --skill video-prompting -a codex`. Or copy the skill folder (video-prompting in Square-Zero-Labs/video-prompting-skill) into .agents/skills/video-prompting in your project. Codex loads it when a task matches its description.

Can I use Video Prompting in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Square-Zero-Labs/video-prompting-skill --skill video-prompting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-prompting, .gemini/skills/video-prompting, .github/skills/video-prompting and .opencode/skills/video-prompting in your project.

What does Video Prompting need to run?

SKILL.md names no scripts, command-line tools or credentials: Video Prompting is instructions for the agent only.

Does Video Prompting access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Video Prompting safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Video Prompting use?

Video Prompting is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Video Prompting use?

About 1.9k tokens (SKILL.md is roughly 7.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 49k tokens, read only when the agent opens those files.

What are the alternatives to Video Prompting?

Skills that share tags, products or a category with Video Prompting: Higgsfield Models (OSideMedia/higgsfield-ai-prompt-skill, 707 stars), Video Audio Continuity (nodetool-ai/nodetool, 560 stars), Higgsfield (OSideMedia/higgsfield-ai-prompt-skill, 707 stars) and Video (Nexus-JPF/note-companion, 870 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Video Prompting?

Square-Zero-Labs (a GitHub user) maintains it in Square-Zero-Labs/video-prompting-skill, which has 182 GitHub stars. The repository was last updated on August 25, 2026.

Source: Square-Zero-Labs/video-prompting-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.