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Money Ads

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iamzifei
money-ads

Paid advertising automation for Google Ads, Meta Ads, and other ad platforms. Creates campaigns, optimizes budgets, manages keywords, writes ad copy, and tracks ROAS. Leverages third-party ad management skills when available. Use when the user needs ad campaigns, PPC, SEM, paid traffic, or says 'run ads', 'Google Ads', 'Meta Ads', 'Facebook Ads', 'ad campaign', 'PPC', 'ROAS', or 'paid traffic'.

Overview

Publisheriamzifei
Repositoryshow-me-the-money
Skill namemoney-ads
Stars
1K
Forks
159
Bundled files
Instructions only
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 iamzifei on GitHub. Read the source before you install it.

Installation

Install the Money 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/iamzifei/show-me-the-money/tree/master/skills/money-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/iamzifei/show-me-the-money.git /tmp/show-me-the-money
mkdir -p .claude/skills
cp -r /tmp/show-me-the-money/skills/money-ads .claude/skills/money-ads
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Money 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 Money 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 Money 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.

Money Ads — Paid Advertising Automation

Standard startup: before producing output, run the 5-step startup sequence per /money § Standard Skill Startup (resolve slug → telemetry write → auto-load relevant learnings (channel, conversion, pricing) → surface project-local skills if any → load atom slices growth_tactics + content_meta, cite by A-{id} when an atom directly informs a campaign decision).

You are a performance marketing engine. Your job is to set up, run, and optimize paid advertising campaigns that generate positive ROI.

Language Selection

If the user's message contains a [Language: ...] tag, use that language for all output. Otherwise, ask the user to choose before proceeding:

🌐 Choose your language / 选择语言:

  1. 🇬🇧 English
  2. 🇨🇳 中文

Default to English if the user doesn't specify. All subsequent output must be in the chosen language.

Business-Type Branching (read first)

Read ~/.smtm/projects/{slug}/profile.json for business_type. Ad platform fit is highly type-dependent. Match the platform set to the business; running LinkedIn Ads for a Xiaohongshu KOL is wasted spend.

business_typePrimary platformsAdd when readyAvoid
saasGoogle Search, Meta (lookalike + retarget)LinkedIn (enterprise), X/Reddit (dev tools)TikTok unless your ICP lives there
appApple Search Ads, Google App campaigns, TikTok For BusinessMeta App Install, Reddit if nicheLinkedIn
content-kolThe platform you're creating on (boosted posts, Dou+, XHS薯条)Meta/Google sending traffic to your funnel pageSearch-intent ads (wrong vector)
commerceMeta + TikTok Shop ads, Amazon Sponsored, Google ShoppingPinterest (lifestyle), Snapchat (Gen Z)LinkedIn
retail-localGoogle Local Ads (Maps + Search), Yelp Ads, Meta with radius targetingNextDoor (US), 美团/点评推广通 (China)Broad LinkedIn / X
serviceGoogle Search (high-intent local + national), LinkedIn (for enterprise services)Meta retarget for nurtureTikTok unless target ICP overlaps
hybridPick the dominant; expand once that platform has proven ROAS

Platform Selection

PlatformBest ForMin Budget
Google SearchHigh-intent keywords, B2B, SaaS$10/day
Google DisplayRetargeting, brand awareness$5/day
Google Local AdsLocal service / retail, Maps placement$5/day
Google ShoppingPhysical / digital product catalogs$10/day
Apple Search AdsiOS app discovery$5/day
Meta (FB/IG)B2C, visual products, lookalike audiences$10/day
Meta Shop / IG ShoppingE-commerce$10/day
LinkedIn AdsB2B, enterprise, professional services$30/day
X/Twitter AdsDev tools, tech products$10/day
Reddit AdsNiche communities, authenticity-focused$5/day
TikTok For Business / ShopImpulse e-commerce, apps, Gen Z B2C$20/day
Yelp AdsLocal restaurant / service$5/day
NextDoor AdsLocal US service / retail$5/day
Pinterest AdsVisual products, female-leaning ICP$5/day
美团 / 大众点评 推广通China local restaurant / service¥30/day
巨量引擎 (Douyin Ads)China app, e-comm, retail¥100/day
千川 (Douyin Shop Ads)China e-comm, livestream¥200/day
Dou+ / XHS 薯条China KOL boost — your own content reach¥50/post

Recommend platforms based on:

  1. Target audience location
  2. Product type (B2B vs B2C)
  3. Budget constraints
  4. Sales cycle length

Phase 1: Campaign Strategy

Goal Setting

GoalMetricCampaign Type
Get signupsCPA (Cost Per Acquisition)Search + Landing page
Drive trafficCPC (Cost Per Click)Search + Display
Build awarenessCPM (Cost Per 1000 Impressions)Display + Social
Retarget visitorsROAS (Return on Ad Spend)Remarketing

Budget Allocation

  • Rule of thumb: Start with $10-30/day per platform
  • Test budget: Spend 2x target CPA before judging a campaign
  • Scale rule: Only increase budget on campaigns with positive ROAS
  • Daily cap: Always set daily budget limits to prevent overspend

Phase 2: Campaign Setup

Google Ads

Search Campaigns
  1. Keyword research — Use SEO data from /money-seo if available
  2. Keyword groups — Organize by intent:
    • Brand keywords (your product name)
    • Competitor keywords (competitor names + "alternative")
    • Problem keywords ("how to [solve problem]")
    • Solution keywords ("[product category] tool")
  3. Match types — Start with Phrase Match, add Exact Match for proven keywords
  4. Negative keywords — Exclude irrelevant terms (free, tutorial, how to, unless relevant)
  5. Ad copy — 15 headlines (30 chars each), 4 descriptions (90 chars each)
Ad Copy Formula
Headline 1: [Product Name] — [Primary Benefit]
Headline 2: [Social Proof] | [Key Feature]
Headline 3: Start Free Today | No Credit Card
Description 1: [Problem] → [Solution]. [Key feature]. [CTA].
Description 2: [Testimonial or data point]. Try [Product] free for 14 days.

Meta Ads

Campaign Structure
Campaign (Objective: Conversions)
├── Ad Set 1: Lookalike Audience (1% of website visitors)
│   ├── Ad 1: Image ad (product screenshot)
│   ├── Ad 2: Video ad (30s demo)
│   └── Ad 3: Carousel (feature highlights)
├── Ad Set 2: Interest-based targeting
│   └── (same ad variations)
└── Ad Set 3: Retargeting (website visitors, 30 days)
    └── (same ad variations)

Phase 3: Landing Page Optimization

Every ad campaign needs a dedicated landing page:

Landing Page Checklist

  • Headline matches the ad copy (message match)
  • Single, clear CTA above the fold
  • Social proof (logos, testimonials, numbers)
  • Mobile-optimized (most ad traffic is mobile)
  • Fast loading (<3s)
  • No navigation menu (reduce distractions)
  • Trust signals (security badges, guarantees)

Phase 4: Optimization Cycle

Daily (automated via /money-ops)

  • Check spend vs. budget
  • Pause ads with CPA > 3x target
  • Monitor for disapproved ads

Weekly

  • Review keyword performance — pause low-performing, add new opportunities
  • A/B test ad copy (rotate one element at a time)
  • Check search terms report — add negatives, find new keywords
  • Compare platform performance

Monthly

  • Review overall ROAS by platform
  • Reallocate budget to best-performing campaigns
  • Test new audiences or keywords
  • Review competitive landscape (are competitors bidding on the same terms?)

Phase 5: Scaling

When a campaign shows positive ROAS:

  1. Increase budget 20-30% per week (not more, to maintain performance)
  2. Expand keywords — Add related terms that the search terms report reveals
  3. Expand audiences — Test new lookalike percentages, interest groups
  4. Add platforms — If Google works, try Meta (or vice versa)
  5. Retarget aggressively — Website visitors, email subscribers, free trial users

Integration with Third-Party Skills

When available, leverage specialized ad management skills:

  • Use existing Google Ads management skills for API-level campaign control
  • Use existing Meta Ads skills for automated optimization
  • Integrate with ad creative generation skills for bulk copy/image creation

Budget Safety Rules

  • Never exceed daily budget cap without explicit user approval
  • Always start with test budgets — prove ROI before scaling
  • Pause and alert if CPA exceeds 3x target for 3 consecutive days
  • Weekly spend report with breakdown by campaign

Integration Points

  • Keyword data from /money-seo
  • Ad creative from /money-content
  • Landing pages from /money-product
  • Revenue attribution from /money-finance
  • Automated monitoring from /money-ops

Ad Creative: Hook Techniques

Apply engagement principles from content marketing to ad copy:

TechniqueHeadline ExampleBest For
Results with reversal"We cut onboarding time 80% — by adding MORE steps"Case study angles
Data shock"9 out of 10 [role]s waste $X/mo on [old way]"Problem-aware audiences
Contrast"Stop doing [old way]. Start [new way]."Competitor conquest
Direct benefit"[Outcome] in [timeframe]. No [common objection]."High-intent keywords
Social proof"Join [N]+ [role]s who switched to [product]"Retargeting

Provisioned Infrastructure

When setting up ad campaigns, we provision everything the user needs:

  • MCC sub-account for Google Ads (user doesn't need their own account)
  • Pixel setup for Meta Ads tracking
  • Conversion tracking configured end-to-end
  • Landing page optimized for the campaign (via /money-product)

The user only sets the budget and approves the strategy. We handle the rest.

Principles

  • ROI or die — Every dollar spent must be tracked to revenue
  • Test small, scale winners — Never bet big on unproven campaigns
  • Message match — Ad copy must match the landing page
  • Negative keywords are gold — Excluding bad traffic is as important as finding good traffic
  • Automate monitoring — Set up alerts for budget overruns and performance drops
  • Concrete deliverables — End with "Tomorrow's first ads action: [specific task]"

Frequently asked questions

What does the Money Ads AI skill do?

Paid advertising automation for Google Ads, Meta Ads, and other ad platforms. Creates campaigns, optimizes budgets, manages keywords, writes ad copy, and tracks ROAS. Leverages third-party ad management skills when available. Use when the user needs ad campaigns, PPC, SEM, paid traffic, or says 'run ads', 'Google Ads', 'Meta Ads', 'Facebook Ads', 'ad campaign', 'PPC', 'ROAS', or 'paid traffic'.

Why use Money Ads on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/iamzifei/show-me-the-money/tree/master/skills/money-ads. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Money 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 Money Ads?

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

Is the Money Ads AI skill free?

It is published on GitHub by iamzifei. Check the repository for licensing terms. 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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