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Meta Ads

CommunityPopular
kostja94
meta-ads

When the user wants to set up, optimize, or manage Meta (Facebook/Instagram) Ads. Also use when the user mentions "Meta Ads," "Facebook Ads," "Instagram Ads," "Meta Pixel," "Conversions API," "Advantage+," "lookalike audience," or "Meta retargeting." For landing pages, use landing-page-generator.

Overview

Publisherkostja94
Repositorymarketing-skills
Skill namemeta-ads
Stars
1K
Forks
139
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by kostja94 on GitHub. Read the source before you install it.

Installation

Install the Meta 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/kostja94/marketing-skills/tree/main/skills/paid-ads/platforms/meta-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/kostja94/marketing-skills.git /tmp/marketing-skills
mkdir -p .claude/skills
cp -r /tmp/marketing-skills/skills/paid-ads/platforms/meta-ads .claude/skills/meta-ads
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Meta 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 Meta 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 Meta 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.

Paid Ads: Meta Ads

Guides Meta (Facebook/Instagram) Ads setup, campaign structure, audience targeting, and creative optimization. Meta excels at demand generation and visual products; use when creating demand or when creative assets are strong.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Campaign Structure

Hierarchy: Campaign → Ad Set → Ad (3 levels)

Principle: One objective per campaign. Multiple campaigns for the same objective split budget and data, slowing the algorithm's learning phase. Consolidate by objective; focus on clean structure and data-led decisions.

Account
├── Campaign: Prospecting
│   ├── Ad Set: Lookalike 1%
│   └── Ad Set: Broad (Advantage+)
├── Campaign: Retargeting
└── Campaign: Testing

Naming: META_[Objective]_[Audience]_[Offer]_[Date] (e.g., META_Conv_Lookalike-Customers_FreeTrial_2024Q1)

Advantage+ & Automation

FeatureUse
Advantage+ Shopping CampaignsE-commerce; automatic audience discovery
Dynamic AdsProduct catalog; auto-generated creative
Automatic PlacementsLet Meta optimize across Feed, Stories, Reels
Advantage+ AudienceBroad targeting; algorithm finds converters

Provide diverse creative assets to enable multiple ad formats; algorithm performs better with variety.

Campaign Objectives

ObjectiveUse when
AwarenessReach; brand recall
TrafficClicks to site
ConversionsLeads; sales; app installs
EngagementVideo views; post engagement

Audience Targeting

TypeBest for
LookalikesBase on best customers (by LTV), not all customers
Interest/behaviorBroad; let algorithm optimize
Advantage+Automated; fewer manual controls
RetargetingWebsite visitors; engagers; custom audiences

Exclusions: Existing customers; recent converters (7–14d).

Creative Best Practices

  • Image: Clear product; before/after; human faces; text <20%
  • Video (15–30s): Hook 0–3s; problem 3–8s; solution 8–20s; CTA 20–30s
  • Placements: Feed (FB/IG); Stories/Reels; vertical for Stories
  • Volume: 3–5 ad variants per ad set for testing

Optimization

  • Learning phase: 50+ conversions per ad set per week to exit; avoid frequent changes during learning
  • CBO vs ABO: Campaign Budget Optimization consolidates spend; use when scaling
  • Frequency: <3 to avoid fatigue
  • Creative refresh: Plan continuous testing; creative fatigue is a main lever—refresh when performance drops

Tracking

  • Meta Pixel + Conversions API: Server-side for better attribution
  • Events API: App events; server-to-server

Pre-Launch Checklist

  • Pixel installed; Conversions API configured
  • Conversion events firing correctly
  • Landing page mobile-friendly; fast load
  • 3+ ad creatives per ad set
  • Audience exclusions set

Related Skills

  • paid-ads-strategy: Channel selection; creative frameworks; budget allocation
  • landing-page-generator: LP for paid traffic
  • analytics-tracking: Conversion tracking; ROAS

Frequently asked questions

What does the Meta Ads AI skill do?

When the user wants to set up, optimize, or manage Meta (Facebook/Instagram) Ads. Also use when the user mentions "Meta Ads," "Facebook Ads," "Instagram Ads," "Meta Pixel," "Conversions API," "Advantage+," "lookalike audience," or "Meta retargeting." For landing pages, use landing-page-generator.

Why use Meta Ads on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kostja94/marketing-skills/tree/main/skills/paid-ads/platforms/meta-ads. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Meta 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 Meta Ads?

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

Is the Meta Ads AI skill free?

Yes. It is published on GitHub by kostja94 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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