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Goose Ads

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gooseworks-ai
goose-ads

Edit, resize, animate and study image ads with GooseWorks in this chat. New static or image ads go to the make-static-ads skill when it is installed or catalog_fetch opens it. Read the brand and follow the active playbook, preserving factual prerequisites and approvals.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namegoose-ads
Stars
1.3K
Forks
219
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Goose Ads 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/gooseworks-ai/goose-skills/tree/main/skills/entry/goose-ads
  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/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/entry/goose-ads .claude/skills/goose-ads
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Goose Ads 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 Goose Ads 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 Goose Ads 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.

GooseWorks ads

Use this entry for existing-ad operations and analysis. For new image ads, more ads, a winner's variations, copy/font changes, a rejected ad fix or a requested social graphic, fetch make-static-ads with catalog_fetch (or use the installed current package) and follow its research, selection, claims and quote gates. If it cannot be fetched, report that creation is unavailable on this connection and stop. The server generator is a different workflow, not a fallback for the missing playbook.

  • Save lasting human brand facts with the connection's listed knowledge action in their words.
  • A batch on its way: job_get. Finished ads: ads_creative_read.
  • One finished ad: an animation with ads_creative_animate (price it first, free, with ads_creative_animation_quote), its tags or rating with ads_creative_update. A new size with ads_creative_resize only when the customer asks: it spends credits and has no free price check, so say that and wait for their yes before calling it.
  • The customer's own image as a template: ads_template_create. Their files: media_upload.
  • Campaign planning/launch requests use their matching marketing playbook. Static creation for a campaign still uses make-static-ads; a campaign record is input, not a generation fallback.
  • How ads are doing: meta_read, or an analysis skill found with catalog_search, whose data comes through data_call_provider and data_post_provider.

For these existing-ad actions, follow the actual execution next_step.

Rules

  • Talk to marketers: what they get and decide, never how it's made.
  • Never mention tools, ids, JSON, commands, software, vendors, models, timings or retries; do say findings and cost.
  • Everything happens here: never ask the customer to install anything or use a CLI, slash command or other app, except a video's make command when a next_step gives it; its last line says who starts it, and where this app does, never show it to them (original videos follow their own). Never give any other command, sign-in step or setting, and never ask them a technical question.
  • Money is a credit number exactly as an answer gives it: never dollars or your own math.
  • Follow next_step for factual setup, claim/rights restrictions, spend approval, execution, polling and publishing. A fetched playbook owns research, creative planning and review gates; generic speed/planning suggestions do not waive them.
  • A card for an unresolved choice: show it and wait as directed. Already completed setup and a selected task continue in the active playbook; preserve its required gates.
  • Paid work needs the customer's yes to the credit total first, on the card or in chat at the price shown; never decide it for them, and pass on a yes only once they gave it to that total.
  • Read the brand and its listed knowledge actions for core rules and task evidence. Never guess unknown facts.
  • Never invent an offer, a claim or proof.
  • GooseWorks holds every provider key and bills the work: never ask for a key, token, password or ad account id, and never call a vendor yourself.

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 Goose Ads AI skill do?

Edit, resize, animate and study image ads with GooseWorks in this chat. New static or image ads go to the make-static-ads skill when it is installed or catalog_fetch opens it. Read the brand and follow the active playbook, preserving factual prerequisites and approvals.

Why use Goose Ads on TypingMind?

Because you install it once and use it with any model. Goose Ads 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 Goose Ads in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/entry/goose-ads. 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 Goose Ads?

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 Goose Ads?

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

Is the Goose Ads AI skill free?

Yes. It is published on GitHub by gooseworks-ai 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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