Google Ads Landing Page Audit
nowork-studio/notfair-plugin
Scores Google Ads landing pages on five weighted dimensions and diagnoses why high-CTR ad groups convert poorly, with concrete fixes for each page.
Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective.
Install Frequency Cap Recommendations
$ npx skills add irinabuht12-oss/marketing-skills --skill frequency-cap-recommendations -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install irinabuht12-oss/marketing-skills frequency-cap-recommendations --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/irinabuht12-oss/marketing-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/frequency-cap-recommendations .claude/skills/frequency-cap-recommendations && 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 "frequency-cap-recommendations" agent skill from https://github.com/irinabuht12-oss/marketing-skills/tree/main/skills/frequency-cap-recommendations into .claude/skills/frequency-cap-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frequency-cap-recommendations", 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/irinabuht12-oss/marketing-skills/tree/main/skills/frequency-cap-recommendationsType 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 irinabuht12-oss/marketing-skills --skill frequency-cap-recommendations -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install irinabuht12-oss/marketing-skills frequency-cap-recommendations --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/irinabuht12-oss/marketing-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/frequency-cap-recommendations .agents/skills/frequency-cap-recommendations && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "frequency-cap-recommendations" agent skill from https://github.com/irinabuht12-oss/marketing-skills/tree/main/skills/frequency-cap-recommendations into .agents/skills/frequency-cap-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frequency-cap-recommendations", 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 irinabuht12-oss/marketing-skills --skill frequency-cap-recommendations -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install irinabuht12-oss/marketing-skills frequency-cap-recommendations --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/irinabuht12-oss/marketing-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/frequency-cap-recommendations .cursor/skills/frequency-cap-recommendations && 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 "frequency-cap-recommendations" agent skill from https://github.com/irinabuht12-oss/marketing-skills/tree/main/skills/frequency-cap-recommendations into .cursor/skills/frequency-cap-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frequency-cap-recommendations", 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/irinabuht12-oss/marketing-skills.git --path skills/frequency-cap-recommendations--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 irinabuht12-oss/marketing-skills --skill frequency-cap-recommendations -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install irinabuht12-oss/marketing-skills frequency-cap-recommendations --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/irinabuht12-oss/marketing-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/frequency-cap-recommendations .gemini/skills/frequency-cap-recommendations && 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 "frequency-cap-recommendations" agent skill from https://github.com/irinabuht12-oss/marketing-skills/tree/main/skills/frequency-cap-recommendations into .gemini/skills/frequency-cap-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frequency-cap-recommendations", 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 irinabuht12-oss/marketing-skills frequency-cap-recommendationsInstalls 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 irinabuht12-oss/marketing-skills --skill frequency-cap-recommendations -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/irinabuht12-oss/marketing-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/frequency-cap-recommendations .github/skills/frequency-cap-recommendations && 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 "frequency-cap-recommendations" agent skill from https://github.com/irinabuht12-oss/marketing-skills/tree/main/skills/frequency-cap-recommendations into .github/skills/frequency-cap-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frequency-cap-recommendations", 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 irinabuht12-oss/marketing-skills --skill frequency-cap-recommendations -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install irinabuht12-oss/marketing-skills frequency-cap-recommendations --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/irinabuht12-oss/marketing-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/frequency-cap-recommendations .opencode/skills/frequency-cap-recommendations && 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 "frequency-cap-recommendations" agent skill from https://github.com/irinabuht12-oss/marketing-skills/tree/main/skills/frequency-cap-recommendations into .opencode/skills/frequency-cap-recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frequency-cap-recommendations", 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.
Facts
- Skill name
frequency-cap-recommendations- GitHub stars
- 4.1k
- Token cost
- ~674 tokens
- SKILL.md length
- 324 words
- Files
- 1
- Skills in repo
- 48
- Repo updated
- First seen
- Licence
- None found
At a glance
Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective.
- Tasks that involve Paid advertising
- SKILL.md covers What it does, How it works, Practical example and What you get back, plus 2 more sections
- Calls claude; reaches connector.get-ryze.ai
What it does
Frequency Cap Recommendations is an agent skill from irinabuht12-oss/marketing-skills. Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective. Tells you the point where additional impressions stop driving conversions and start burning money. Platform: Meta.
Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Paid advertising. It works with Model Context Protocol. The repository describes itself as: Claude skills for marketing: 49 free marketing skills for Claude Code and claude.ai (Google Ads, Meta Ads, SEO, AI visibility) + the Ryze Google Ads MCP / Meta Ads MCP: claude….
When your agent uses it
- Tasks that involve Paid advertising
Example prompts
- “Use the frequency-cap-recommendations skill to analyz frequency data across your Meta campaigns, identifies where you're overserving ads to the same…”
- “/frequency-cap-recommendations”
What it can do on your machine
Read from SKILL.md and the folder at commit 1bb135e. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
claude
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
connector.get-ryze.ai
Also links to:
get-ryze.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Frequency Cap Recommendations loads about 674 tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 324 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.
Safety
Auto-check passed
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.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 324 words (~674 tokens).
“Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective. Tells you the point where additional impressions stop driving conversions and start burning money.”
- name
- frequency-cap-recommendations
- metadata
- platform: Meta
Files
Just SKILL.md in skills/frequency-cap-recommendations of irinabuht12-oss/marketing-skills.
Open the folder on GitHubat commit 1bb135e
Compare with similar skills
Frequency Cap Recommendations 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 |
|---|---|---|---|---|---|---|
| Frequency Cap Recommendations this skillirinabuht12-oss/marketing-skills | 4.1k | — | ~674 | Automated safety check: Pass | None | |
| Google Ads Landing Page Auditnowork-studio/notfair-plugin | 3.9k | — | ~306 | Automated safety check: Pass | MIT | |
| Google AdsTheMattBerman/google-ads-copilot | 238 | — | ~4.1k | Automated safety check: Pass | MIT | |
| SEO Vs AdsRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~594 | Automated safety check: Pass | MIT | |
| Google Ads AuditTheMattBerman/google-ads-copilot | 238 | — | ~2.7k | Automated safety check: Pass | MIT | |
| Paid Ads Integrationsnowork-studio/notfair-plugin | 3.9k | — | ~256 | Automated safety check: Pass | MIT |
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Discover, connect, and verify NotFair paid-ad integrations and their actual capabilities.
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Works with
Categories
Questions about Frequency Cap Recommendations
What does Frequency Cap Recommendations do?
Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective. Frequency Cap Recommendations is an agent skill from irinabuht12-oss/marketing-skills. Analyzes frequency data across your Meta campaigns, identifies where you're overserving ads to the same people, and recommends frequency caps by campaign objective.
When should I use Frequency Cap Recommendations?
Frequency Cap Recommendations fits situations like: tasks that involve Paid advertising.
How do I install Frequency Cap Recommendations in Claude Code?
Run `npx skills add irinabuht12-oss/marketing-skills --skill frequency-cap-recommendations -a claude-code`. Or copy the skill folder (skills/frequency-cap-recommendations in irinabuht12-oss/marketing-skills) into .claude/skills/frequency-cap-recommendations in your project. Claude Code loads it when a task matches its description.
How do I install Frequency Cap Recommendations in Codex?
Run `npx skills add irinabuht12-oss/marketing-skills --skill frequency-cap-recommendations -a codex`. Or copy the skill folder (skills/frequency-cap-recommendations in irinabuht12-oss/marketing-skills) into .agents/skills/frequency-cap-recommendations in your project. Codex loads it when a task matches its description.
Can I use Frequency Cap Recommendations in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add irinabuht12-oss/marketing-skills --skill frequency-cap-recommendations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/frequency-cap-recommendations, .gemini/skills/frequency-cap-recommendations, .github/skills/frequency-cap-recommendations and .opencode/skills/frequency-cap-recommendations in your project.
What does Frequency Cap Recommendations need to run?
Going by SKILL.md and its folder, Frequency Cap Recommendations needs the command-line tools its instructions call (claude).
Does Frequency Cap Recommendations access the network?
SKILL.md names 2 domains. In commands or code: connector.get-ryze.ai; the agent is likely to contact it when it follows the instructions. As links in the text: get-ryze.ai. This is read from the text; nothing was executed.
Is Frequency Cap Recommendations safe to install?
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.
What licence does Frequency Cap Recommendations use?
No licence was found for Frequency Cap Recommendations or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Frequency Cap Recommendations use?
About 674 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Frequency Cap Recommendations?
Skills that share tags, products or a category with Frequency Cap Recommendations: Google Ads Landing Page Audit (nowork-studio/notfair-plugin, 3.9k stars), Google Ads (TheMattBerman/google-ads-copilot, 238 stars), SEO Vs Ads (Ryze-AI-Adgent/open-seo-mcp-skills, 4.7k stars) and Google Ads Audit (TheMattBerman/google-ads-copilot, 238 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Frequency Cap Recommendations?
irinabuht12-oss (a GitHub user) maintains it in irinabuht12-oss/marketing-skills, which has 4,053 GitHub stars. The repository holds 48 skills in this directory. The repository was last updated on September 24, 2026.
Source: irinabuht12-oss/marketing-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.