Meta Ad Builder
krusemediallc/arcads-claude-code
Publish finished creatives as live Meta (Facebook/Instagram) ads via the Meta Marketing API, plus research and ad-copy support.
Pre-flight policy check for Meta ads. An agent skill from gooseworks-ai/goose-skills.
$ npx skills add gooseworks-ai/goose-skills --skill meta-ad-policy-checker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills meta-ad-policy-checker --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/composites/meta-ad-policy-checker .claude/skills/meta-ad-policy-checker && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "meta-ad-policy-checker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/meta-ad-policy-checker into .claude/skills/meta-ad-policy-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-policy-checker", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/meta-ad-policy-checkerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill meta-ad-policy-checker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills meta-ad-policy-checker --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/composites/meta-ad-policy-checker .agents/skills/meta-ad-policy-checker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meta-ad-policy-checker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/meta-ad-policy-checker into .agents/skills/meta-ad-policy-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-policy-checker", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill meta-ad-policy-checker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills meta-ad-policy-checker --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/composites/meta-ad-policy-checker .cursor/skills/meta-ad-policy-checker && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "meta-ad-policy-checker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/meta-ad-policy-checker into .cursor/skills/meta-ad-policy-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-policy-checker", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/ads/composites/meta-ad-policy-checker--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill meta-ad-policy-checker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills meta-ad-policy-checker --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/composites/meta-ad-policy-checker .gemini/skills/meta-ad-policy-checker && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "meta-ad-policy-checker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/meta-ad-policy-checker into .gemini/skills/meta-ad-policy-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-policy-checker", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills meta-ad-policy-checkerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill meta-ad-policy-checker -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/composites/meta-ad-policy-checker .github/skills/meta-ad-policy-checker && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "meta-ad-policy-checker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/meta-ad-policy-checker into .github/skills/meta-ad-policy-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-policy-checker", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill meta-ad-policy-checker -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills meta-ad-policy-checker --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/composites/meta-ad-policy-checker .opencode/skills/meta-ad-policy-checker && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "meta-ad-policy-checker" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/meta-ad-policy-checker into .opencode/skills/meta-ad-policy-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-ad-policy-checker", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
meta-ad-policy-checkerPre-flight policy check for Meta ads. An agent skill from gooseworks-ai/goose-skills.
Meta Ad Policy Checker is an agent skill from gooseworks-ai/goose-skills. Pre-flight policy check for Meta ads. Takes ad copy plus advertiser context, resolves and fetches the relevant Meta transparency-center policy pages at runtime, and returns a Pass / Fix Required / Block verdict with cited findings and rewrites.
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Marketing & SEO, covering Copywriting and Paid advertising. It works with Meta Ads. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
transparency.meta.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Meta Ad Policy Checker loads about 3.1k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 1,520 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,520 words, ~3,102 tokens.
.claude/skills/meta-ad-policy-checker/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Meta disapproves ads for policy reasons constantly, and most disapprovals are preventable. The pattern is almost always the same: an advertiser (or an AI agent generating variants) writes copy that uses a phrase or implies a claim that violates Meta's published advertising standards. The fix is cheap if you catch it before submission, expensive if you don't — repeated disapprovals on the same account can throttle delivery or trigger account-level restrictions.
This skill is a pre-flight check. It reads ad copy, figures out which Meta policies apply, fetches the live policy text from Meta's transparency center, and returns a clear verdict with specific findings, citations, and rewrites. It does not hardcode policy rules — Meta updates those, and a static rule list goes stale. Instead, the skill uses Meta's own canonical policy pages as ground truth on every run.
Core principle: The skill provides the methodology — what to check, how to reason, what severity to assign. Meta provides the source of truth — the actual policy text. This separation is what keeps the skill correct as Meta's standards evolve.
None / Employment / Credit / Housing / Social Issues, Elections or Politics (this changes the applicable rules significantly)pre-flight (block until clean) or audit (flag-only, used for already-live ads)Reason about the ad before fetching. Most ads need 3–6 policy pages, not all 25. Always include the baseline set, then add content-driven pages based on what the ad mentions, then add category-driven pages based on declared Special Ad Category.
Treat the entries below as policy lookup keys, not URL slugs. Meta's Transparency Center URLs are nested under category paths and change over time, so never construct a flat policy URL directly from these labels.
| Triggers | Policy lookup keys |
|---|---|
| Income, earnings, payouts, "make money", specific dollar amounts | Personal financial requirements; unrealistic outcomes |
| Health, weight loss, supplements, wellness claims | Health and wellness; before-and-after photos |
| Targeting by age, gender, race, religion, nationality | Discriminatory practices |
| Crypto, weapons, adult, drugs, alcohol, gambling, tobacco | Restricted content |
| Political, social-issue, election content | Social issues, elections or politics |
| Profanity, slurs, sensitive language | Profanity; inflammatory content |
| Anything that implies tracking / scraping / circumvention | Circumventing systems |
| Special Ad Category | Add |
|---|---|
| Employment | Employment |
| Credit | Credit |
| Housing | Housing |
| Social Issues, Elections or Politics | Social issues, elections or politics |
Output of Phase 1: an ordered list of policy lookup keys to resolve and fetch in Phase 2.
Fetch Meta's ad-standards index first:
https://transparency.meta.com/policies/ad-standards/For each lookup key from Phase 1:
Caching rule: in-memory for the current session only. A batch check of 10 ad variants should produce 3–6 policy-page fetches total, not 30–60. Skip persistent caching to avoid stale-cache bugs across sessions.
Fallback: if the index cannot be parsed or a resolved page 404s, use a site-restricted web search for the policy title on Meta's transparency domain and navigate to the closest-matching current policy. Log this as a "policy URL drift" note in the output so the lookup list can be updated.
For each fetched policy, walk through every element of the ad (headline, body, description, CTA, link, visual description if provided) and ask:
Severity model — three levels:
| Severity | Definition |
|---|---|
| Block | Clear violation. Ad will almost certainly be disapproved. Do not submit until fixed. |
| Fix Required | Likely violation or explicit risk. Ad may pass but is at meaningful risk of disapproval or under-delivery. Fix recommended before submission. |
| Caution | Edge case. Ambiguous wording or pattern Meta sometimes flags. Worth knowing about; not necessarily worth changing. |
For each issue identified, produce:
Common disapproval reason: ad claims that aren't substantiated on the LP, or LP claims more aggressive than the ad. Run a brief cross-check:
non-functional-landing-pages)This is policy-specific cross-check — not message-match. For message-match (does the LP feel like a continuation of the ad?), use ad-to-landing-page-auditor.
Use this exact structure.
VERDICT: PASS | FIX REQUIRED | BLOCK
ADVERTISER CONTEXT (echo back so the user knows what was assumed)
SPECIAL AD CATEGORY: [declared]
POLICIES CHECKED: [list of slugs fetched, with URLs]
PER-ISSUE FINDINGS:
- Issue: [exact phrase or pattern from the ad]
Policy: [name] (URL)
Citation: "[direct quote from Meta's policy page]"
Severity: Block | Fix Required | Caution
Why: [one-line explanation grounded in the citation]
Suggested rewrite: [safer alternative preserving intent]
RISK SCORE: Low | Medium | High
(factors: count of Block issues, count of Fix Required issues, special-category status)
3 SAFER VARIANTS OF THE FULL AD:
(only generated if any Block or Fix Required issues exist)
- Variant A: [full ad rewrite — headline + body + CTA]
- Variant B: [full ad rewrite — different angle on the same offer]
- Variant C: [full ad rewrite — most conservative version]
NOTES:
- Areas where Meta enforcement is known to vary (best-effort observation)
- LP-related findings (if URL was provided)
- Anything requiring human judgment beyond what this skill can verify
- Any "policy URL drift" notes from Phase 2 fallback handlingThis skill is built to be both standalone-runnable and callable from other skills. Recommended chain patterns:
messaging-ab-tester produces N variants → meta-ad-policy-checker runs on each → only PASS / FIX REQUIRED variants surface to the userlaunch-meta-ad-campaign prepares the exact paused launch plan → meta-ad-policy-checker runs on every ad → block launch if any return BLOCKmeta-ads-analyzer flags an ad with near-zero delivery → suggest running meta-ad-policy-checker to rule out a silent disapprovalThe skill returns structured output (verdict + per-issue array) so calling code can gate on verdict !== "BLOCK" programmatically.
The list of policy slugs in Phase 1 is the only mutable piece of this skill. Meta occasionally renames or restructures policy pages. The Phase 2 fallback handles individual page drift gracefully, but periodic review of the slug list (annually, or any time several "policy URL drift" notes appear in outputs) keeps the skill efficient. The slug list lives inline in this SKILL.md so updates are a single-file change.
messaging-ab-tester — runs upstream; generates variants this skill should checklaunch-meta-ad-campaign — runs upstream; prepares the multi-ad plan this skill should validate before approvalad-to-landing-page-auditor — paired pre-flight; different concern (message-match vs. policy compliance), same checkpointmeta-ads-analyzer — runs downstream; if a live campaign shows symptoms of a silent disapproval (near-zero delivery, throttling), this skill is the diagnostic stepad-campaign-analyzer — loose link; disapprovals show up as underdelivery in performance data, so cross-reference when a creative shows zero delivery© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/ads/composites/meta-ad-policy-checker of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.
Meta Ad Policy Checker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Meta Ad Policy Checker this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Meta Ad Builderkrusemediallc/arcads-claude-code | 1.6k | — | ~1.7k | Automated safety check: Notes | MIT | |
| Hook MethodologyDV0x/creative-ad-agent | 120 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Ad Copy Writercognyai/claude-code-marketing-skills | 104 | — | ~595 | Automated safety check: Notes | None | |
| Memstack Marketing Facebook Adcwinvestments/memstack | 423 | — | ~2.6k | Automated safety check: Pass | Proprietary | |
| Ad CreativeLeoYeAI/openclaw-marketing-skills | 1k | 8 repos | ~3.4k | Automated safety check: Pass | Custom licence |
krusemediallc/arcads-claude-code
Publish finished creatives as live Meta (Facebook/Instagram) ads via the Meta Marketing API, plus research and ad-copy support.
DV0x/creative-ad-agent
Generates conversion-focused ad copy through research-first extraction.
cognyai/claude-code-marketing-skills
Generate ad copy variations for Google, Meta, and LinkedIn Ads
cwinvestments/memstack
A skill your agent uses when the user says 'facebook ad', 'FB ad', 'Meta ad', 'Instagram ad', or needs social media ad copy with targeting, creative direction, and A/B test plans for Meta Ads Manager.
LeoYeAI/openclaw-marketing-skills
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.
Yuzzyuk/marketing-os
A complete marketing department in one skill. An agent skill from Yuzzyuk/marketing-os.
gooseworks-ai/goose-skills
Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.
gooseworks-ai/goose-skills
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
gooseworks-ai/goose-skills
Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
gooseworks-ai/goose-skills
Find leads by scraping engagers from a competitor's top LinkedIn posts.
gooseworks-ai/goose-skills
Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…
Works with
Categories
Pre-flight policy check for Meta ads. An agent skill from gooseworks-ai/goose-skills. Meta Ad Policy Checker is an agent skill from gooseworks-ai/goose-skills. Pre-flight policy check for Meta ads.
Meta Ad Policy Checker fits situations like: tasks that involve Copywriting; tasks that involve Paid advertising.
Run `npx skills add gooseworks-ai/goose-skills --skill meta-ad-policy-checker -a claude-code`. Or copy the skill folder (skills/ads/composites/meta-ad-policy-checker in gooseworks-ai/goose-skills) into .claude/skills/meta-ad-policy-checker in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill meta-ad-policy-checker -a codex`. Or copy the skill folder (skills/ads/composites/meta-ad-policy-checker in gooseworks-ai/goose-skills) into .agents/skills/meta-ad-policy-checker in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill meta-ad-policy-checker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta-ad-policy-checker, .gemini/skills/meta-ad-policy-checker, .github/skills/meta-ad-policy-checker and .opencode/skills/meta-ad-policy-checker in your project.
SKILL.md names no scripts, command-line tools or credentials: Meta Ad Policy Checker is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: transparency.meta.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Meta Ad Policy Checker is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Meta Ad Policy Checker: Meta Ad Builder (krusemediallc/arcads-claude-code, 1.6k stars), Hook Methodology (DV0x/creative-ad-agent, 120 stars), Ad Copy Writer (cognyai/claude-code-marketing-skills, 104 stars) and Memstack Marketing Facebook Ad (cwinvestments/memstack, 423 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.