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Meta Ads

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boringmarketer
meta-ads

Launch and verify Meta (Facebook/Instagram) ad campaigns end to end — the Business Manager permission chain, programmatic campaign creation via the Marketing API, the steps that only exist in the browser UI, crop-safe creative, and pixel/Conversions API tracking that is actually proven to work. Use when setting up Meta API access, creating or debugging campaigns, or verifying Meta conversion tracking.

Overview

Publisherboringmarketer
Repositorymeta-ads-skill
Skill namemeta-ads
Stars
69
Forks
12
Bundled files
9
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.

  • 9 bundled files

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

  • Open source

    Published by boringmarketer 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/boringmarketer/meta-ads-skill/tree/main
  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/boringmarketer/meta-ads-skill.git \
  .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.

Meta Ads — setup, launch, verification

Everything here was learned by getting it wrong in production first. The API rejections are real rejections, the permission chain is the one that actually unblocks, and the verification section exists because measuring the wrong thing produced three confidently-wrong conclusions in a single session.

Route by task:

TaskRead
Getting API access at all§1, then reference/setup.md
Creating campaigns in code§3, then reference/publishing.md
Steps the API cannot do§4, then reference/browser.md
Pixel / CAPI / "is it tracking?"§2 and §5, then reference/tracking.md
Making the images§6, then reference/creative.md

1. The permission chain (where most people get stuck)

To create ads via the API you need four separate grants. Missing any one produces a different, unhelpful error that names none of the others.

  1. A Meta app. If the business already has one, use it — a second app means a second review and a second publishing step.
  2. The system user has a ROLE ON THE APP. Business Settings → Apps → app → Add People → pick the system user → Develop app. Without this, token generation fails with "No permissions available" and gives no hint which of the four grants is missing. This is the step people skip.
  3. The system user has the ASSETS. Business Settings → System Users → user → Assign assets:
    • Ad account → Manage campaigns (not "Manage ad account", which is finances and permissions)
    • Page → Ads
    • Pixel / dataset → Use events dataset
  4. Generate the token. System Users → Generate token → select the app → Never expiry → tick ads_management.

Prefer a system user over a personal user token. A personal token dies when the person's password changes or their session is invalidated; a system-user token belongs to the business and survives staff turnover.

Prefer Never expiry. A time-boxed token lapses silently and takes the integration with it — usually discovered days later as "why did spend stop".

Two more grants only surface at ad-creation time, long after the token works:

  • Instagram account connected to the ad account. Advantage+ placements include Instagram, so creation fails with "Ad account has no access to this Instagram account". Fix in Business Settings → Instagram accounts → account → Connect assets → the ad account.
  • The app must be Live, not Development. "Ads creative post was created by an app that is in development mode". Publishing needs a Privacy Policy URL and a Category. Development mode blocks creative creation only — every other call works, so this fails late, after you have already created a campaign and ad set.

Run scripts/preflight.mjs before anything else. It checks all of the above and writes nothing.


2. Verification traps — read before believing any test result

Three separate false negatives in one launch. Each looked like a real bug. Each was the instrument, not the system.

TrapWhat happenedUse instead
Testing on localhostPixel and embed verified on localhost. Both were blocked in production by a CSP that localhost does not send.Always verify against the deployed URL. A localhost pass proves nothing about production headers.
performance.getEntriesByType('resource')Concluded "the Lead never fires" because no request appeared. fbevents uses navigator.sendBeacon when an eventID is present, and sendBeacon never appears in resource timing.Meta's Test Events tool. It is Meta's own instrumentation and it ends the argument.
"Received From: Browser" in Test EventsConcluded server-side CAPI was broken because no server rows appeared. Test Events only shows server events when the server sends a test_event_code.Have the server return its own send result (§5). Absence of display ≠ absence of delivery.

The pattern: absence of evidence read as evidence of absence, from an instrument that structurally could not observe the thing being measured. Before concluding something is broken, ask what the instrument can actually see.

Change one thing at a time. One "isolation test" removed two variables at once and the wrong one got the blame, costing an hour.


3. Creating campaigns — the rejections, in order

Each of these is a real 400 that stops creation. Set them up front.

js
// CAMPAIGN
{
  objective: 'OUTCOME_LEADS',
  status: 'PAUSED',
  special_ad_categories: [],               // or ['EMPLOYMENT'|'HOUSING'|'CREDIT'|...]
  buying_type: 'AUCTION',
  is_adset_budget_sharing_enabled: false,  // REQUIRED when budget is on the ad set
}

// AD SET
{
  daily_budget: 3000,                       // CENTS. 3000 = $30.00
  billing_event: 'IMPRESSIONS',
  bid_strategy: 'LOWEST_COST_WITHOUT_CAP',  // required; a cap throttles a cold pixel
  optimization_goal: 'OFFSITE_CONVERSIONS',
  promoted_object: { pixel_id, custom_event_type: 'LEAD' },
  targeting: {
    geo_locations: { custom_locations: [{ latitude, longitude, radius: 25, distance_unit: 'mile' }] },
    age_min: 18, age_max: 65, genders: [1, 2],
  },
}
ErrorCause
must specify True or False in is_adset_budget_sharing_enabledbudget on the ad set, flag absent
Bid amount or bid constraints requiredno explicit bid_strategy
daily budget must be greater than $0budget arrived as null — see below
Ad account has no access to this Instagram accountIG not connected to the ad account
created by an app that is in development modeapp not published
standard_enhancements has been deprecateddrop the field, set it in the UI (§4)

The null budget was a caller bug worth remembering. argv[argv.indexOf('--flag') + 1] returns argv[0] when the flag is absent, because indexOf returns -1. Number('--apply') is NaN, which JSON.stringify turns into null, which Meta reports as a zero budget. Check the flag is present and range-check the value before sending.

Always create PAUSED, verify in the UI, then enable deliberately. An agent that creates ACTIVE ads spends real money on unreviewed creative.

Clean up orphans. A failed run leaves a campaign or ad set behind. Delete it before retrying, or duplicates accumulate and delivery splits across them.

scripts/campaign.mjs implements all of this from a JSON config.


4. What only the browser can do

Some required steps have no API. An agent driving Meta needs the browser for:

StepWhere
Create the system user, assign app role and assets, generate the tokenBusiness Settings
Publish the app (Development → Live)App Dashboard → Settings → Basic
Connect Instagram to the ad accountBusiness Settings → Instagram accounts
Opt out of Advantage+ creative enhancementsAds Manager → ad → Creative
Check ad previews per placementAds Manager → ad → Preview
Test EventsEvents Manager
Disable automatic event detectionEvents Manager → pixel → Settings
Add a payment methodBilling

Two of these are load-bearing and routinely skipped:

Advantage+ creative enhancements auto-crop images and overlay text. The API field standard_enhancements is deprecated and its per-feature replacement is a moving target, so set it in the UI. Confirm via API by reading degrees_of_freedom_spec on the creative — you want advantage_plus_creative: OPT_OUT.

Ad previews render each placement for real. This is what catches creative that survives a full-size render and dies in feed. Look at them before enabling.

See reference/browser.md for deep links, agent-driving guidance, and the things an agent must never do in that UI (credentials, payment details, and anything that opens a modal dialog).


5. Conversion tracking that is actually proven

Both paths, one event id. The browser pixel and the server Conversions API send the same event_id; Meta collapses them into one conversion. The server path survives ad blockers — roughly a third of an audience — so it is not optional.

The browser must forward what the server cannot know:

js
meta: {
  event_id: evId,                          // same id both sides — this is the dedupe key
  event_source_url: window.location.href,
  fbp: cookie('_fbp'),   // first-party cookies on YOUR domain; a server running
  fbc: cookie('_fbc'),   // anywhere else never receives them otherwise
}

Make the server report its own outcome. A CAPI call is correctly non-fatal — losing an attribution event must never fail a form submission — which means it can rot silently forever. Return the result so one curl proves the whole server path in isolation:

js
return json({ success: true, id, meta_capi: r.ok ? `sent:${n}` : `failed:${err}` });

Fire events on what you mean. A Schedule fired when a calendar renders means "someone saw a calendar", not "someone booked" — optimizing toward it trains Meta to find people who arrive and leave. Use the embed's own success callback and make the render a separate custom event.

Optimize for volume, measure on truth. Meta needs roughly 50 conversions per week per ad set to exit the learning phase. If the true outcome is rarer than that, bid on the higher-volume upstream event and keep the real one for reporting.

Watch for automatic events. Meta's automatic event detection invents events (commonly Subscribe) from ordinary form interactions, which then pollute optimization. Disable it in pixel settings.

CSP will silently break all of it

If the site sends a Content-Security-Policy, these must be allowed or the pixel dies with no visible error:

script-src   https://connect.facebook.net
connect-src  https://www.facebook.com  https://connect.facebook.net
frame-src    https://www.facebook.com

A blocked fbevents.js leaves fbq as the inline stub: it queues events and sends nothing, forever. The check that detects it:

js
typeof window.fbq.callMethod === 'function'   // real library loaded
window.fbq.queue.length                        // >0 and growing = stub, blocked

fbq.loaded and fbq.version are set by the inline stub and prove nothing.


6. Creative: the crop-safe zone

A 1080×1920 asset is cropped for feed placements. 4:5 removes ~285px from each end; 1:1 removes ~420px. Anything near the top or bottom is destroyed in exactly the placement where most impressions land.

Keep every critical element inside the 1:1 safe band: y 420 → 1500. Stack identifier, message and CTA as one block centred in that band so the whole message survives any crop. Verify by simulating the crops rather than trusting the full-size render:

js
for (const h of [1350, 1080]) {
  await sharp(file).extract({ left: 0, top: (1920 - h) / 2, width: 1080, height: h })
    .toFile(`crop_${h}.jpg`);
}

Then look at the Ads Manager preview, which renders each placement for real.

Special Ad Categories (Employment, Housing, Credit, Social Issues) strip the targeting you would normally rely on: no age or gender targeting, no detailed interest or behaviour targeting, and a minimum 15-mile radius. Consequence: the creative IS the targeting. With no interest targeting, the only thing making the right person recognise themselves is the ad itself — put the audience identifier in the image as literal words, not a clever hook.

Employment and Credit also forbid earnings claims. Guard it in code, in every place copy can be edited, and fail loudly:

js
const MONEY = /\$\s?\d|\b\d+\s?(k|dollars|usd)\b|\bper hour\b|\/hr\b/i;

Launch checklist

  • System user has app role, ad account, Page, and pixel
  • App published (not Development mode)
  • Instagram connected to the ad account
  • Token has ads_management, Never expiry
  • scripts/preflight.mjs passes
  • Copy checked against the category's content rules
  • Creative content inside y 420–1500; crops simulated
  • Advantage+ creative enhancements OPT_OUT
  • Created PAUSED; ad previews checked per placement in Ads Manager
  • fbq.callMethod is a function on the deployed site
  • Conversion event confirmed Processed in Test Events
  • Server CAPI confirmed sent:N via its own response
  • Test records deleted from the database afterwards
  • Token rotated if it appeared in any transcript, log, or screenshot

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 Meta Ads AI skill do?

Launch and verify Meta (Facebook/Instagram) ad campaigns end to end — the Business Manager permission chain, programmatic campaign creation via the Marketing API, the steps that only exist in the browser UI, crop-safe creative, and pixel/Conversions API tracking that is actually proven to work. Use when setting up Meta API access, creating or debugging campaigns, or verifying Meta conversion tracking.

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/boringmarketer/meta-ads-skill/tree/main. 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 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 boringmarketer 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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