Paid Ads Guide logo

Paid Ads Guide

OrganizationPopular
nowork-studio
paid-ads-guide

Explain NotFair's paid-ads skills, installation, platform boundaries, account connections, and current product capabilities. Use for questions about how NotFair works, what it supports, how to install or connect it, plans or limits, or paid-media troubleshooting that is not an account-performance request.

Overview

Publishernowork-studio
Repositorynotfair-plugin
Skill namepaid-ads-guide
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 Paid Ads Guide 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/paid-ads/paid-ads-guide .claude/skills/paid-ads-guide
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paid Ads Guide 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 Paid Ads Guide 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 Paid Ads Guide 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.

NotFair Paid Ads Guide

Answer NotFair product questions from the repository documentation or current official NotFair documentation, never from stale memory. This skill explains the product; use /notfair:paid-ads-integrations for the current session's actual connector and account access.

Answer from the right source

QuestionSource of truth
Plugin install, skill catalog, current documented connectors, and operating boundariesRepository README.md and AGENTS.md
Current session's available tools, OAuth state, and selected accounts/notfair:paid-ads-integrations plus the platform shared preamble
Product pricing, quotas, current eligibility, or platform policiesThe current official page or platform documentation; do not quote a number from memory
A performance, campaign, or optimization questionRoute to /notfair:paid-ads, /notfair:google-ads, or /notfair:meta-ads

Essential facts

NotFair supplies host-agnostic skills plus one OAuth-connected MCP operating surface for Google Ads, Meta Ads, X Ads, LinkedIn Ads, Reddit Ads, TikTok Ads, Google Analytics, Search Console, WordPress, and GoHighLevel. Each platform keeps its dedicated workflow; the agent chooses tools from the live connection rather than a fixed skill-level tool list. Read ../../docs/mcp-connection.md for capability discovery and connection upgrades. Amazon and ChatGPT Ads remain planning/review-first until the session has a verified connector; those skills are not a claim of publication access. Live WordPress work uses /notfair:wordpress; /notfair:setup-cms is only the local SEO-script CMS wizard. GoHighLevel CRM work uses /notfair:gohighlevel.

The goal-loop app makes an outcome measurable, verifies the baseline at the source, and revisits the metric on an approved cadence. The plugin is the hands-on companion for audits, briefs, and supported account operations. Explain the safety boundary plainly: an approved plan is not a live campaign, and a brief is not a published asset.

When installation is requested, direct the user to the README's plugin install steps. When a connector is missing or unauthorized, use the appropriate platform preamble and stop at the connection CTA rather than inventing a workaround.

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 Paid Ads Guide AI skill do?

Explain NotFair's paid-ads skills, installation, platform boundaries, account connections, and current product capabilities. Use for questions about how NotFair works, what it supports, how to install or connect it, plans or limits, or paid-media troubleshooting that is not an account-performance request.

Why use Paid Ads Guide on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nowork-studio/notfair-plugin/tree/main/paid-ads/paid-ads-guide. 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 Paid Ads Guide?

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 Paid Ads Guide?

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

Is the Paid Ads Guide 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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