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Google Ads Assets

OrganizationPopular
nowork-studio
google-ads-assets

Plan, validate, and safely publish Google Ads assets, including sitelinks, callouts, structured snippets, image assets, and Performance Max asset briefs. Use when asked for Google Ads assets, ad extensions, sitelinks, callouts, snippets, image assets, Performance Max assets, PMax creative, or an asset audit.

Overview

Publishernowork-studio
Repositorynotfair-plugin
Skill namegoogle-ads-assets
Stars
3.8K
Forks
488
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 nowork-studio on GitHub. Read the source before you install it.

Installation

Install the Google Ads Assets 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.
  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/nowork-studio/notfair-plugin.git /tmp/notfair-plugin
mkdir -p .claude/skills
cp -r /tmp/notfair-plugin/google-ads/assets .claude/skills/google-ads-assets
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Ads Assets 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 Google Ads Assets 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 Google Ads Assets 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.

Google Ads Asset Planner

Turn approved business evidence into an asset manifest that can be reviewed and, only where the connected MCP supports it, published safely.

Setup

Read and follow ../shared/preamble.md and ../shared/analysis-principles.md. Read {data_dir}/business-context.json and {data_dir}/personas/{accountId}.json before proposing assets. If either is missing or stale, hand off to /google-ads-audit; an ungrounded asset pack is generic inventory.

Read ../shared/policy-registry.json before PMax or policy-sensitive work. If its PMax entry is stale, verify the relevant Google policy or platform requirement before stating a current rule.

Build from evidence, not filler

Pull the existing campaign, ad group, and asset coverage using available read capabilities before recommending new assets. Use search terms, converting ads, landing-page content, approved offers, and customer language as source material. Do not infer ratings, pricing, guarantees, availability, or product attributes.

For each proposed asset, produce this reviewable manifest:

FieldRequired content
Asset familyCallout, sitelink, structured snippet, image, or PMax brief
ScopeAccount, campaign, ad group, or named PMax asset group
Concept IDPersona × motivation × angle
Copy or creative directionExact approved text, or a production-ready visual brief
Evidence and claim statusSource for every factual claim; mark unsupported claims needs_substantiation
Landing destinationFinal URL and message-match note when applicable
Statusready_for_review, blocked, or approved_to_publish

Keep the brief deliberately varied: each concept should test a different motivation or visual hook, not a cosmetic rewrite. Ask for missing proof instead of inventing it.

Platform-aware execution

  • Validate copy and destination fields against the current connected tool metadata before creating anything. Do not trust memorized limits or silently truncate assets.
  • Only create/link callouts, sitelinks, structured snippets, or image assets after the user approves the exact manifest. Use a supported capability, record any operation identifiers returned, and verify the resulting entity.
  • Verify image ownership, landing-page rights, and policy-sensitive claims before an image asset is uploaded. A generated image is a production input, not proof that the claim in it is allowed.
  • Check the live connection for the requested asset-library or PMax asset-group operation. If it is unavailable, deliver a brief for completion in Google Ads without claiming it was applied.

PMax brief

For a PMax request, produce a cross-placement production brief rather than a generic list of slogans:

  1. State the product or feed scope, conversion goal, audience signal, and landing destination.
  2. Provide 3–5 concept cards, each with a visual hook, on-screen message, proof source, CTA, and placement-safe adaptation notes.
  3. Identify the missing inputs explicitly: approved logo, image/video source files, feed readiness, rights, or substantiation.
  4. Keep Search RSA language complementary to PMax text assets; avoid duplicating the same promise without a reason.
  5. Flag PMax/Search overlap and brand-exclusion questions for /google-ads before scaling.

Guardrails

  1. Never publish an unsupported claim, a destination you did not validate, or an asset with unknown rights.
  2. Never call a production brief an uploaded asset. Separate ready_for_review from published.
  3. Confirm scope and exact asset count before every write; check and explain the available reversal path.
  4. Defer bid, budget, keyword, and campaign-structure changes to /google-ads; defer RSA testing to /google-ads-copy.

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 Google Ads Assets AI skill do?

Plan, validate, and safely publish Google Ads assets, including sitelinks, callouts, structured snippets, image assets, and Performance Max asset briefs. Use when asked for Google Ads assets, ad extensions, sitelinks, callouts, snippets, image assets, Performance Max assets, PMax creative, or an asset audit.

Why use Google Ads Assets on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nowork-studio/notfair-plugin/tree/main/google-ads/assets. 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 Google Ads Assets?

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 Google Ads Assets?

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

Is the Google Ads Assets AI skill free?

Yes. It is published on GitHub by nowork-studio 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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