Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
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 gooseworks-ai/goose-skills --skill meta-ads-campaign-buildergit clone --depth 1 https://github.com/gooseworks-ai/goose-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/gooseworks-ai/goose-skills/meta-ads-campaign-builder)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/meta-ads-campaign-builder"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/meta-ads-campaign-builder/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/gooseworks-ai/goose-skills/meta-ads-campaign-builder"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/meta-ads-campaign-builder.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 | $0.00058 | $0.02691 |
| Opus 5 | $0.00029 | $0.01345 |
| Sonnet 5 | $0.00012 | $0.00538 |
| Haiku 4.5 | $0.00006 | $0.00269 |
Grade A, and why
meta-ads-campaign-builder 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 12d 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 — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meta Ads Campaign Builder
Build a complete Meta Ads campaign structure — targeting, ad sets, placements, copy framework, and budget allocation. This skill handles the strategic architecture that determines whether a campaign succeeds before a single ad runs.
Core principle: The biggest Meta Ads mistake startups make is boosting a post and calling it a campaign. Proper campaign structure — objective selection, audience layering, placement optimization, and testing framework — is what separates burning money from building pipeline.
When to Use
- "Set up Meta Ads for our product"
- "Build a Facebook/Instagram ad campaign"
- "Help me structure a Meta campaign"
- "I want to run ads on Facebook — where do I start?"
- "Create a Meta Ads plan for [product launch / lead gen / awareness]"
Phase 0: Intake
- Product name + URL — What are we advertising?
- Campaign objective:
- Awareness (brand reach)
- Traffic (website visits)
- Lead Generation (in-platform lead forms)
- Conversions (website sign-ups / purchases)
- App Installs
- ICP — Target buyer: role, company size, industry, pain points
- Monthly budget — How much for Meta specifically?
- Landing page(s) — Where will traffic go?
- Competitor names — For audience analysis
- Existing Meta Pixel / Conversions API? — Tracking setup status
- B2B or B2C? — Changes targeting strategy significantly
Phase 1: Campaign Architecture
1A: Objective Selection
| Business Goal | Meta Objective | Why |
|---|---|---|
| "Get demos/leads" | Lead Generation OR Conversions | Lead Gen = in-app forms (higher volume, lower quality). Conversions = website (lower volume, higher quality) |
| "Drive free trial sign-ups" | Conversions | Optimize for on-site conversion event |
| "Build awareness for launch" | Awareness (Reach) | Maximize eyeballs in target audience |
| "Retarget website visitors" | Conversions | Bring warm traffic back to convert |
| "Drive traffic to content" | Traffic | Optimize for clicks to blog/resource |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 296 lines · 58 tokens per session scan A 129487308df7
meta-ads-campaign-builder is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 58 tokens to every session and 2,691 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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