Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add swan-gtm/gtm-skills --skill meta-campaign-structuregit clone --depth 1 https://github.com/swan-gtm/gtm-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/swan-gtm/gtm-skills/meta-campaign-structure)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/meta-campaign-structure"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/meta-campaign-structure/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/meta-campaign-structure"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/meta-campaign-structure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.02305 |
| Opus 5.5 | $0.00017 | $0.00922 |
| Sonnet 5.5 | $0.00008 | $0.00461 |
| Haiku 4.5 | $0.00004 | $0.00231 |
Grade A, and why
meta-campaign-structure scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Campaign Structure for B2B Meta Ads - High-ACV SaaS
How to structure Meta campaigns for B2B SaaS with $30K+ ACV. Covers the three phases (ABO to CBO to Advantage+), campaign architecture, settings, and the 12-month scaling roadmap.
The Three Phases of Campaign Structure
Phase 1: Audience Validation (ABO - Ad Set Budget)
Purpose: Determine which audience sources produce quality leads before spending on creative testing.
When to use: Starting Meta for the first time, launching a new offer, entering a new market segment.
Structure:
Campaign: [Product] - Prospecting - Audience Validation
-- Ad Set 1: 1% CRM Lookalike [$X/day]
-- Ad Set 2: Third-Party Data (Primer) [$X/day]
-- Ad Set 3: Interest + Job Titles [$X/day]
-- Ad Set 4: Broad Targeting [$X/day]
-- Same 3-4 ads in every ad set (isolate the audience variable)
Critical settings:
- Use Ad Set Budget (ABO), NOT CBO - guarantees each audience gets dedicated budget. CBO would let Meta shift budget away from expensive-but-quality audiences.
- Same ads across all ad sets - you're testing audiences, not creative
- Equal budgets per ad set for fair comparison
- Run for 2-4 weeks minimum
- Turn off Advantage+ audience expansion - click "Further limit the reach" and select your specific audience per ad set
Validation criteria (check in CRM, not Ads Manager):
- Job title match to ICP
- Company match to target firmographics
- Lead-to-MQL conversion rate
- Cost per qualified lead (not just cost per lead)
- Quality score from sales calls (see message-validation.md)
After validation:
- Kill ad sets producing low-quality leads
- Take winning audience(s) to Phase 2
Alternative (simpler test): Two ad sets only - open/broad targeting vs. interest-based. After 2-4 weeks, compare which brings better results. Use the winner going forward.
Phase 2: Creative Scaling (CBO - Campaign Budget Optimization)
Purpose: Scale winning audiences through creative concept testing.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 247 lines · 42 tokens per session scan A 057dc3f932fc
meta-campaign-structure is a skill published in the GitHub repository swan-gtm/gtm-skills (221 stars, last pushed 8d ago), licensed MIT. It adds 42 tokens to every session and 2,305 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
ad-campaign-analyzer
Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.
paid-ad-copy-writer
Write paid ad copy for affiliate offers across ad platforms. Triggers on: "write ad copy", "Facebook ad for affiliate", "Google Ads copy", "TikTok ad script", "Pinterest ad", "paid traffic to affiliate", "create ad campaign", "ad headlines", "ad descriptions", "scale with paid ads", "run ads for my affiliate link"…
gooseworks
GooseWorks growth coworker and router for markets, competitors, audiences, creators, campaigns, ads, photos, graphics, video, content, email, SEO, social, leads and contacts. Use for brand facts or copy too, so offers, prices, rules, audience and bestsellers reach the brand's Marketing Brain.
adcp-advertising
Automate advertising campaigns with AI. Create ads, buy media, manage ad budgets, discover ad inventory, run display ads, video ads, CTV campaigns, and optimize ad performance. Perfect for marketing automation, programmatic advertising, media buying, ad management, campaign optimization, creative management, and…
yandex-direct
Skill "yandex-direct" from VKirill/claude-lane-stack, covering version requirements, usage, use this skill when, do not use this skill when and purpose.
yandex-direct-creatives
An advertising-writing guide for Yandex.Direct, a Russian online advertising platform. It turns keyword clusters from Key Collector, a keyword research tool, into campaigns, ad groups, and ads.