Agent skill

Google Ads Rsas

by TheMattBerman in TheMattBerman/google-ads-copilot

Generate or refine Google Ads RSA recommendations using real buyer language from search terms, intent clusters, and winning modifiers.

MITAuto-check passedMarketing & SEO

Install Google Ads Rsas

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-rsas -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-rsas --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/google-ads-rsas .claude/skills/google-ads-rsas && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "google-ads-rsas" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-rsas into .claude/skills/google-ads-rsas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-rsas", 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

$skill-installer install https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-rsas

Type 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.

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-rsas -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-rsas --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/google-ads-rsas .agents/skills/google-ads-rsas && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "google-ads-rsas" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-rsas into .agents/skills/google-ads-rsas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-rsas", 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.

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-rsas -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-rsas --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/google-ads-rsas .cursor/skills/google-ads-rsas && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "google-ads-rsas" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-rsas into .cursor/skills/google-ads-rsas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-rsas", 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

$ gemini skills install https://github.com/TheMattBerman/google-ads-copilot.git --path skills/google-ads-rsas

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-rsas -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-rsas --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/google-ads-rsas .gemini/skills/google-ads-rsas && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "google-ads-rsas" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-rsas into .gemini/skills/google-ads-rsas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-rsas", 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.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-rsas

Installs 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).

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-rsas -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/google-ads-rsas .github/skills/google-ads-rsas && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "google-ads-rsas" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-rsas into .github/skills/google-ads-rsas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-rsas", 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.

skills CLI

$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-rsas -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install TheMattBerman/google-ads-copilot google-ads-rsas --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/google-ads-rsas .opencode/skills/google-ads-rsas && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "google-ads-rsas" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-rsas into .opencode/skills/google-ads-rsas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-rsas", 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: google-ads-rsas
GitHub stars: 238
Token cost: ~1.1k tokens
SKILL.md length: 340 words
Files: 1
Skills in repo: 16
Repo updated: Jun 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Generate or refine Google Ads RSA recommendations using real buyer language from search terms, intent clusters, and winning modifiers.

Works in 8 steps: Announce mode (connected/export). → Identify the target query cluster or… → For search-term buyer language, run the… → …
Tasks that involve Paid advertising
SKILL.md covers Data Acquisition, Process, Draft Output and Rules
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Google Ads Rsas is an agent skill from TheMattBerman/google-ads-copilot. Generate or refine Google Ads RSA recommendations using real buyer language from search terms, intent clusters, and winning modifiers. Pulls live data via MCP or works with manual exports. Produces RSA refresh drafts.

Its SKILL.md is about 1.1k 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 Google Ads and Model Context Protocol. The repository describes itself as: Google Ads Copilot: operator kit for audits, MCP-connected reads, export-mode analysis, and draft/apply workflows. The licence is MIT.

When your agent uses it

Tasks that involve Paid advertising

Example prompts

“/google-ads-rsas”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

Announce mode (connected/export).
Identify the target query cluster or intent bucket.
For search-term buyer language, run the shared retrieval ladder (data/search-term-retrieval.md). In pmax-fallback, use rows for language…
Extract buyer language and repeated modifiers from converting search terms when available, or from PMax query rows when only language…
Review current RSA assets: what's BEST, GOOD, LOW, UNRATED?
Determine the core promise and LP fit.
Recommend RSA components: headline themes, description angles, message hierarchy.
Save outputs to workspace memory.

What it can do on your machine

Read from SKILL.md and the folder at commit 2c253ee. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are sql).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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

Google Ads Rsas loads about 1.1k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 340 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~58
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

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

The full file from TheMattBerman/google-ads-copilot at commit 2c253ee, republished under its MIT licence (© TheMattBerman). 340 words, ~1,080 tokens.

Download SKILL.mdSave it as .claude/skills/google-ads-rsas/SKILL.md (or your agent's skills folder).

name: google-ads-rsas
description: Generate or refine Google Ads RSA recommendations using real buyer language from search terms, intent clusters, and winning modifiers. Pulls live data via MCP or works with manual exports. Produces RSA refresh drafts.

Google Ads RSAs

Read first:

google-ads/references/operator-thesis.md
google-ads/references/query-patterns.md
google-ads/references/intent-map.md
google-ads/references/rsa-playbook.md
google-ads/references/deliverable-templates.md

Read workspace if available:

workspace/ads/account.md
workspace/ads/goals.md
workspace/ads/intent-map.md
workspace/ads/queries.md
workspace/ads/winners.md
workspace/ads/assets.md
workspace/ads/learnings.md

Data Acquisition

Connected Mode (MCP available)

Pull via the search tool on google-ads-mcp:

Primary: RSA asset performance:

sql

SELECT
  asset.text_asset.text,
  asset.type,
  ad_group_ad_asset_view.performance_label,
  ad_group_ad_asset_view.field_type,
  campaign.name,
  ad_group.name,
  metrics.impressions,
  metrics.clicks,
  metrics.conversions
FROM ad_group_ad_asset_view
WHERE segments.date DURING LAST_30_DAYS
  AND campaign.status = 'ENABLED'
ORDER BY metrics.impressions DESC

Supplementary: Search terms (for buyer language extraction):

sql

SELECT
  search_term_view.search_term,
  campaign.name,
  metrics.conversions,
  metrics.clicks,
  metrics.cost_micros
FROM search_term_view
WHERE segments.date DURING LAST_30_DAYS
  AND metrics.conversions > 0
ORDER BY metrics.conversions DESC
LIMIT 200

Retrieval ladder — if the search-term query returns no rows, follow the shared retrieval ladder in data/search-term-retrieval.md. In pmax-fallback mode, use rows for buyer-language extraction only (language signal, not per-term performance). In limited mode, rely on existing asset performance data for copy direction.

Supplementary: RSA ad-level data:

sql

SELECT
  campaign.name,
  ad_group.name,
  ad_group_ad.ad.responsive_search_ad.headlines,
  ad_group_ad.ad.responsive_search_ad.descriptions,
  ad_group_ad.ad.final_urls,
  metrics.impressions,
  metrics.clicks,
  metrics.conversions
FROM ad_group_ad
WHERE ad_group_ad.ad.type = 'RESPONSIVE_SEARCH_AD'
  AND campaign.status = 'ENABLED'
  AND segments.date DURING LAST_30_DAYS

See data/gaql-recipes.md for additional queries.

Export Mode (no MCP)

Ask the user for:

RSA asset report (headlines, descriptions, performance labels)
Or RSA preview from the ads tab
Search terms report (for buyer language extraction)

Process

Announce mode (connected/export).
Identify the target query cluster or intent bucket.
For search-term buyer language, run the shared retrieval ladder (data/search-term-retrieval.md). In pmax-fallback, use rows for language extraction only. In limited, rely on asset performance data.
Extract buyer language and repeated modifiers from converting search terms when available, or from PMax query rows when only language visibility is available.
Review current RSA assets: what's BEST, GOOD, LOW, UNRATED?
Determine the core promise and LP fit.
Recommend RSA components: headline themes, description angles, message hierarchy.
Save outputs to workspace memory.

Draft Output

RSA Refresh Draft

Trigger: Analysis shows (a) LOW-performing assets that could be replaced, or (b) buyer language patterns not represented in current ads.

Create using drafts/templates/rsa-draft.md:

Write to workspace/ads/drafts/YYYY-MM-DD-[account-slug]-rsa-refresh.md
Include specific headlines (≤30 chars) and descriptions (≤90 chars)
Note pin recommendations (use sparingly)
Note which assets to consider removing and why
Source each new asset to the buyer language it came from
Update workspace/ads/drafts/_index.md

Always update workspace memory:

workspace/ads/assets.md — current asset inventory and new recommendations
workspace/ads/winners.md — high-performing query language
workspace/ads/queries.md — buyer language patterns

Rules

Do not write generic ads for mixed intent.
Use real query language where possible.
Keep LP alignment explicit.
If the intent bucket is weak or noisy, say so before generating ads.

Files

Just SKILL.md in skills/google-ads-rsas of TheMattBerman/google-ads-copilot.

Open the folder on GitHubat commit 2c253ee

Compare with similar skills

Google Ads Rsas 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.

Google Ads Rsas compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Google Ads Rsas this skillTheMattBerman/google-ads-copilot	238	—	~1.1k	Automated safety check: Pass	MIT	4 mo ago
Google Ads Landing Page Auditnowork-studio/notfair-plugin	3.9k	—	~306	Automated safety check: Pass	MIT	today
Google Ads API MCP Setupgoogle/skills	21k	—	~6.1k	Automated safety check: Notes	Apache-2.0	today
21 Audit Ads Performanceminhnv0807/ai-business-skills	610	—	~4.6k	Automated safety check: Pass	MIT	27 days ago
Connectindranilbanerjee/digital-marketing-pro	859	1 repos	~2k	Automated safety check: Pass	MIT	5 days ago
Launch Ad Campaignindranilbanerjee/digital-marketing-pro	859	1 repos	~3.9k	Automated safety check: Pass	MIT	5 days ago

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Works with

Questions about Google Ads Rsas

What does Google Ads Rsas do?

Generate or refine Google Ads RSA recommendations using real buyer language from search terms, intent clusters, and winning modifiers. Google Ads Rsas is an agent skill from TheMattBerman/google-ads-copilot. Generate or refine Google Ads RSA recommendations using real buyer language from search terms, intent clusters, and winning modifiers.

When should I use Google Ads Rsas?

Google Ads Rsas fits situations like: tasks that involve Paid advertising.

How do I install Google Ads Rsas in Claude Code?

Run `npx skills add TheMattBerman/google-ads-copilot --skill google-ads-rsas -a claude-code`. Or copy the skill folder (skills/google-ads-rsas in TheMattBerman/google-ads-copilot) into .claude/skills/google-ads-rsas in your project. Claude Code loads it when a task matches its description.

How do I install Google Ads Rsas in Codex?

Run `npx skills add TheMattBerman/google-ads-copilot --skill google-ads-rsas -a codex`. Or copy the skill folder (skills/google-ads-rsas in TheMattBerman/google-ads-copilot) into .agents/skills/google-ads-rsas in your project. Codex loads it when a task matches its description.

Can I use Google Ads Rsas 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 TheMattBerman/google-ads-copilot --skill google-ads-rsas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-ads-rsas, .gemini/skills/google-ads-rsas, .github/skills/google-ads-rsas and .opencode/skills/google-ads-rsas in your project.

What does Google Ads Rsas need to run?

SKILL.md names no scripts, command-line tools or credentials: Google Ads Rsas is instructions for the agent only.

Does Google Ads Rsas access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Google Ads Rsas 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 Google Ads Rsas use?

Google Ads Rsas is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Google Ads Rsas use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Google Ads Rsas?

Skills that share tags, products or a category with Google Ads Rsas: Google Ads Landing Page Audit (nowork-studio/notfair-plugin, 3.9k stars), Google Ads API MCP Setup (google/skills, 21k stars), 21 Audit Ads Performance (minhnv0807/ai-business-skills, 610 stars) and Connect (indranilbanerjee/digital-marketing-pro, 859 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Google Ads Rsas?

TheMattBerman (a GitHub user) maintains it in TheMattBerman/google-ads-copilot, which has 238 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on June 10, 2026.

Source: TheMattBerman/google-ads-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Google Ads Rsas

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Google Ads RSAs

Data Acquisition

Connected Mode (MCP available)

Export Mode (no MCP)

Process

Draft Output

RSA Refresh Draft

Always update workspace memory:

Rules

Files

Compare with similar skills

Similar skills

More from TheMattBerman/google-ads-copilot

Related

Questions about Google Ads Rsas