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-ad-managergit 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-ad-manager)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/meta-ad-manager"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/meta-ad-manager/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-ad-manager"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/meta-ad-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00108 | $0.05265 |
| Opus 5.5 | $0.00043 | $0.02106 |
| Sonnet 5.5 | $0.00022 | $0.01053 |
| Haiku 4.5 | $0.00011 | $0.00526 |
Grade A, and why
meta-ad-manager 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 20d 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 — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meta Ad Manager
What this is for. Someone says "I want to run ads on Meta", or comes back a week later and says "where are we?", or a scheduled check wakes up. This skill works out where things stand from the brand's ad docs, picks the next step, hands it to the skill that does that step, and writes down what happened and why. It never makes the user repeat themselves.
It does not do the stage work itself. Intake, strategy, making creatives, launching, checking and fixing each belong to their own skill. This skill decides which one runs, sets the tone, and keeps the docs true.
The docs contract is law. How to read and write the files and the rules for numbers are in
contract/RULES.md. The file shapes are in
contract/templates/, and contract/validate.py
checks a folder. Read RULES.md before your first write.
Where this skill's files are
Every path in this skill (contract/…, references/…) is relative to this skill's own
folder, not to your working directory:
| Installed by | This skill's folder |
|---|---|
| GooseWorks (the in-app coworker) | agent-config/skills/meta-ad-manager/ in the workspace |
| The goose-skills installer | the folder the installer printed; in Claude Code, wherever you placed it (for example .claude/skills/meta-ad-manager/) |
The stage skills below are installed with this one and sit beside it, in the same parent
folder. ads/ itself is never inside a skill folder.
Choose one mode
Use the first mode that is available, and read its adapter before Step 1:
- GooseWorks when the GooseWorks tools are callable (the in-app coworker, or any agent with the GooseWorks MCP). Read references/gooseworks-adapter.md.
- Direct Meta when there is no GooseWorks, but a Meta access token and ad account are available. Read references/direct-meta-adapter.md.
- Planning only when neither is available. Read references/planning-only.md. Intake, strategy and the creative brief still work; nothing is read from or written to Meta.
What ships with it
22 files 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.
- agents/openai.yaml 258 B
- contract/examples/sample-brand/ads/brand.md 1.5 KB
- contract/examples/sample-brand/ads/campaigns/fall-subscription-launch/decisions.md 784 B
- contract/examples/sample-brand/ads/campaigns/fall-subscription-launch/state.md 517 B
- contract/examples/sample-brand/ads/campaigns/fall-subscription-launch/strategy.md 1.3 KB
- contract/examples/sample-brand/ads/campaigns/holiday-gift-bundles/decisions.md 319 B
- contract/examples/sample-brand/ads/campaigns/holiday-gift-bundles/state.md 444 B
- contract/examples/sample-brand/ads/campaigns/holiday-gift-bundles/strategy.md 1.0 KB
- contract/examples/sample-brand/ads/README.md 504 B
- contract/README.md 1.6 KB
- contract/RULES.md 4.5 KB
- contract/templates/brand.md 2.1 KB
- contract/templates/campaign/decisions.md 940 B
- contract/templates/campaign/state.md 1.7 KB
- contract/templates/campaign/strategy.md 1.8 KB
- contract/templates/README.md 1.4 KB
- contract/tests/test_validate.py 12 KB runs code
- contract/validate.py 18 KB runs code
- references/direct-meta-adapter.md 3.1 KB
- references/gooseworks-adapter.md 5.8 KB
- references/planning-only.md 1.6 KB
- skill.meta.json 1.0 KB
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.
- 20d ago First seen · 330 lines · 108 tokens per session scan A 643e8652131b
meta-ad-manager is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,252 stars, last pushed today), licensed MIT. It adds 108 tokens to every session and 5,265 once invoked, about $0.0004 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 2026-09-26.
Other skills, from other repositories
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fde
Keeps the engagement record for client work. Use when they name a client or stakeholder. Use when they debrief a meeting or paste notes. Use when they ask what was agreed. Use when they run a POC, change the client's codebase, prove it on their staging, go live, or need evals before a model acts. Use when they prep a…
brief
Clarify a new customer brief, desired outcome, constraints and evidence gaps. Use for kickoff or a first meeting; do not repeat discovery already supplied.
business-case
Develop a business case for an initiative using costs, benefits, risks and evidence. Use when a sponsor needs budget or timeline justification.
dashboard
Review the portfolio across existing engagement records. Use for status across customers; requires accessible permitted records and does not create missing client histories.
debrief
Turn meeting notes or a transcript into sourced decisions, changes and next actions. Use after a customer conversation; review consequential record updates before saving.