Veo 3

Organization

social-media-skills

veo-3

Use to write great prompts for Google Veo (Veo 3.1) to generate or animate video for social media — the video-prompt-craft mini-skill, the video counterpart to nano-banana. Run when the user wants a Veo / AI video prompt, a short video clip for a post (b-roll, product-in-motion, hook visual, spokesperson/UGC clip, ad), to animate a still image into video, or a vertical Reel/TikTok/Short clip. Reads brand-profile for brand style. Veo's standout is native synchronized audio in one pass, plus image-to-video and native 9:16 vertical. Teaches the prompt anatomy, audio prompting, the image-to-video pipeline, and the 8-second constraint + extension/stitching. Honest: iterate cheap then finalize, disclose AI video (SynthID watermark), never generate real identifiable people or copyrighted IP. This is the prompt-craft layer — the API/connection and the generate -> upload to WoopSocial Media -> attach flow live in tools/integrations/veo.md; the consuming pack is reels-script's veo-prompt-pack.

Overview

Publisher	social-media-skills
Repository	`skills`
Skill name	`veo-3`
Stars	215
Forks	44
Bundled files	5
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by social-media-skills on GitHub. Read the source before you install it.

Installation

Install the Veo 3 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/social-media-skills/skills/tree/main/skills/veo-3
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/social-media-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/veo-3 .claude/skills/veo-3

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Veo 3 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Veo 3 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Veo 3 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Veo (video prompt craft)

Write prompts that get cinematic clips out of Veo — Google's video model (Veo 3.1; Fast/Lite tiers for cheap iteration). This is the prompt-craft layer of a three-layer setup, and the video counterpart to nano-banana:

Connection/API (model IDs, async generate-and-poll, the generate → upload to WoopSocial Media → attach flow) → tools/integrations/veo.md.
Prompt craft (this skill) → how to direct the right clip well.
In-skill application → reels-script's veo-prompt-pack.

Fast-moving area — re-verify model names/specs quarterly.

Reach for Veo when… (match the job)

Its real strengths: native synchronized audio (dialogue + lip-sync, SFX, ambient, music — the differentiator), cinematic realism/physics, image-to-video, reference-image consistency, first/last-frame control, and native 9:16 vertical / 4K. Reach elsewhere for a pure talking-head explainer (→ avatar tool like heygen), native-4K/multi-shot/motion-transfer at lower cost (→ kling), HDR/atmospheric mood shots (→ luma), long continuous video (stitch/extend or a length-built tool), or highly stylized/very-high-volume output. Don't default it to every job. (Details: references/when-and-how-to-prompt.md.)

Step 0 — Read the brand + the job

Load brand-profile.md (visual style, palette, tone). Identify the job (b-roll / product motion / hook visual / spokesperson / ad / animate-a-still) and the aspect ratio (9:16 for social).

Step 1 — Direct the shot (natural language, not quality spam)

Describe a shot like a director: subject · action · scene · camera (type/movement/angle/lens) · lighting/mood · style · audio · timing. One clear motion per clip. Set 9:16. Ground in the brand. See references/when-and-how-to-prompt.md.

Step 2 — Use the superpower: audio

Veo generates native synchronized audio in one pass — describe it explicitly: dialogue in quotes (+ who/tone), SFX, ambient, music mood. Treat generated audio as a draft/guide track for branded work (record real VO / license music for final) and verify lip-sync. Direct the camera/motion for the cinematic feel. See references/audio-and-camera.md.

Step 3 — Inputs, length, recipes

Image-to-video: animate a still (e.g. a nano-banana frame) — it becomes the first frame; you describe motion + audio. Use reference images / first-and-last frame for consistency/control.
Length: one generation ≈ 8 seconds (4/6/8); hook in the first second; for longer use scene-extension or stitch clips. Plan short beats.
Pick a recipe for the job (b-roll, product motion, hook, spokesperson, ad, animate-a-still). See references/inputs-length-and-recipes.md.

Step 4 — Iterate cheaply, then verify, disclose, ship

Iterate at low-res / Fast to lock the prompt; finalize the keeper at high-res/4K (4K costs ~40–60% more time/$). Off-prompt generations still consume credits — prompt skill is the cost lever; video is async.
Verify every clip (artifacts, lip-sync, physics) before publishing.
Disclose AI video per platform/region (EU AI Act; TikTok auto-disclosure); every clip carries a SynthID watermark — don't pass it off as real footage.
Ship: generate per the integration guide → upload to WoopSocial Media → attach via scheduling-and-queue. WoopSocial doesn't generate video.

Quality bar — self-check

Did I match the tool to the job (and route talking-heads/long-form elsewhere)?
Is the prompt a directed shot (subject/action/camera/lighting/style), brand-grounded, 9:16, with an explicit audio cue?
Did I plan for 8-second clips (hook first) and iterate cheap → finalize?
For stills, did I use image-to-video (and reference/first-last frame where useful)?
Did I handle SynthID + disclosure, audio-as-draft, verify the output, and refuse real people / IP?
Did I point to tools/integrations/veo.md for the API + WoopSocial flow (no claim WoopSocial generates video)?

Edge cases & pushback

Talking-head explainer / lots of dialogue → suggest an avatar tool (heygen); don't force Veo.
"Make a 40-second video" → ~8s per gen; scene-extend/stitch; plan short beats.
"Generate 10 final 4K-with-audio variations now" → iterate cheap first; 4K/audio is costly + async.
"a person, cinematic, 4k, amazing" → rewrite into a directed shot (subject/camera/lighting/audio).
Real person / copyrighted IP / "post as real footage" → refuse; SynthID + disclosure; offer an original alternative.
"Generate it in WoopSocial" → WoopSocial doesn't generate; this prompts Veo, then the clip is uploaded to Media and attached.

tools/integrations/veo.md — API/model IDs, async generate-and-poll, pricing, the upload-to-WoopSocial flow.
reels-script (veo-prompt-pack) — the consuming skill; nano-banana — the image sibling + image-to-video source.
brand-profile — the visual brand; hook-writer — the in-clip hook/line; heygen — avatar/talking-head alternative.
ai-video — the router above this skill; kling (4K/multi-shot/motion) and luma (HDR/mood, silent) — generative siblings.
scheduling-and-queue — attach the video to a post and publish.

References

references/when-and-how-to-prompt.md — when to reach for Veo vs other tools, and the shot/prompt anatomy.
references/audio-and-camera.md — the native-audio superpower (dialogue/SFX/ambient) and camera/motion direction.
references/inputs-length-and-recipes.md — image-to-video, reference/first-last frame, the 8s limit + extension, social recipes.
references/examples.md — weak→strong prompts, an audio-rich clip, image-to-video, a vertical hook, and honest scope.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Veo 3 AI skill do?

Why use Veo 3 on TypingMind?

Because you install it once and use it with any model. Veo 3 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Veo 3 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/social-media-skills/skills/tree/main/skills/veo-3. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Veo 3?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Veo 3?

As many as you like. As long as a model supports skills, you can use Veo 3 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Veo 3 AI skill free?

Yes. It is published on GitHub by social-media-skills under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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