Create Content Campaign logo

Create Content Campaign

Organization
openvetta
create-content-campaign

Plan and build a coherent multi-asset image/video content campaign from a brief, including concept candidates, authority assets, hero selection, derivative assets, shots, and delivery formats. Use for product launches, brand or logo systems, ecommerce listing packs, ad creative sets, social packs, character or portrait packs, cinematic product films, UGC-style ads, storyboard-to-video work, or any request with several related deliverables.

Overview

Publisheropenvetta
Repositoryopen-vetta
Skill namecreate-content-campaign
Stars
299
Forks
51
Bundled files
5
LicenseApache-2.0
Links
  • 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 openvetta on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/openvetta/open-vetta/tree/main/packages/plugins/presets/content-creation/agent/skills/create-content-campaign
  4. 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.
2

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/openvetta/open-vetta.git /tmp/open-vetta
mkdir -p .claude/skills
cp -r /tmp/open-vetta/packages/plugins/presets/content-creation/agent/skills/create-content-campaign .claude/skills/create-content-campaign
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Content Campaign 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 Create Content Campaign 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 Create Content Campaign 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.

Create a content campaign

Orchestrate $develop-creative-concept, $direct-image-creation, $direct-video-creation, $review-content-quality, and $operate-content-workflow. Build an inspectable production plan before quota-consuming generation.

Stage gates

  1. Normalize the brief. If the request has no accepted creative territory, use $develop-creative-concept before selecting a production recipe.
  2. Select a recipe from references/recipe-catalog.md, apply references/scenario-composition.md when combining specialized image/video recipes, and create workflow metadata plus named stage/asset nodes.
  3. Produce a small set of concept candidates that differ on one meaningful hypothesis.
  4. Review and select a master direction using references/selection-and-gates.md.
  5. Generate dependent stills, keyframes, or proof shots from the approved master.
  6. Expand into final shots, formats, timestamped generation prompts, and an ordered sequence manifest only after upstream gates pass.
  7. Audit completeness, continuity, safe areas, format, and delivery readiness.

Read references/production-planning.md before creating a campaign graph. Keep approval boundaries visible as nodes, purposes, and run batches. Do not hide an entire campaign inside one generator prompt.

Cost and risk rules

  • Explore cheaply, select deliberately, render expensively.
  • Fan out independent derivatives only after their shared dependency is approved.
  • Reuse approved masters and continuity ledgers; do not recreate identity or product direction independently.
  • Prepare separate runs when the user may reasonably approve one stage but reject the next.
  • A generated file is not complete until it passes its delivery gate.

This method is an original Vetta adaptation informed by Generative-Media-Skills (MIT), visual-skills by Serge Shima (CC BY 4.0), and ViMax (MIT).

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 Create Content Campaign AI skill do?

Plan and build a coherent multi-asset image/video content campaign from a brief, including concept candidates, authority assets, hero selection, derivative assets, shots, and delivery formats. Use for product launches, brand or logo systems, ecommerce listing packs, ad creative sets, social packs, character or portrait packs, cinematic product films, UGC-style ads, storyboard-to-video work, or any request with several related deliverables.

Why use Create Content Campaign on TypingMind?

Because you install it once and use it with any model. Create Content Campaign 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 Create Content Campaign in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openvetta/open-vetta/tree/main/packages/plugins/presets/content-creation/agent/skills/create-content-campaign. 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 Create Content Campaign?

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 Create Content Campaign?

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

Is the Create Content Campaign AI skill free?

Yes. It is published on GitHub by openvetta under the Apache-2.0 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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