Ads
Cesarjoquin/Marketing-Skills
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms.
Optimize digital advertising campaigns across Google Ads, Meta Ads, and LINE LAP including bidding strategies, audience targeting, creative testing, and ROAS optimization.
Install Mkt Ad Optimization
$ npx skills add asgard-ai-platform/skills --skill mkt-ad-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills mkt-ad-optimization --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mkt-ad-optimization .claude/skills/mkt-ad-optimization && 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 "mkt-ad-optimization" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/mkt-ad-optimization into .claude/skills/mkt-ad-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mkt-ad-optimization", 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/asgard-ai-platform/skills/tree/main/mkt-ad-optimizationType 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 asgard-ai-platform/skills --skill mkt-ad-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills mkt-ad-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/mkt-ad-optimization .agents/skills/mkt-ad-optimization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mkt-ad-optimization" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/mkt-ad-optimization into .agents/skills/mkt-ad-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mkt-ad-optimization", 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 asgard-ai-platform/skills --skill mkt-ad-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills mkt-ad-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/mkt-ad-optimization .cursor/skills/mkt-ad-optimization && 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 "mkt-ad-optimization" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/mkt-ad-optimization into .cursor/skills/mkt-ad-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mkt-ad-optimization", 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/asgard-ai-platform/skills.git --path mkt-ad-optimization--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 asgard-ai-platform/skills --skill mkt-ad-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills mkt-ad-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/mkt-ad-optimization .gemini/skills/mkt-ad-optimization && 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 "mkt-ad-optimization" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/mkt-ad-optimization into .gemini/skills/mkt-ad-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mkt-ad-optimization", 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 asgard-ai-platform/skills mkt-ad-optimizationInstalls 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 asgard-ai-platform/skills --skill mkt-ad-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/mkt-ad-optimization .github/skills/mkt-ad-optimization && 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 "mkt-ad-optimization" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/mkt-ad-optimization into .github/skills/mkt-ad-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mkt-ad-optimization", 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 asgard-ai-platform/skills --skill mkt-ad-optimization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills mkt-ad-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/mkt-ad-optimization .opencode/skills/mkt-ad-optimization && 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 "mkt-ad-optimization" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/mkt-ad-optimization into .opencode/skills/mkt-ad-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mkt-ad-optimization", 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
mkt-ad-optimization- GitHub stars
- 242
- Token cost
- ~1.4k tokens
- SKILL.md length
- 470 words
- Files
- 4 (incl. references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Optimize digital advertising campaigns across Google Ads, Meta Ads, and LINE LAP including bidding strategies, audience targeting, creative testing, and ROAS optimization.
- The user needs to improve ad performance
- SKILL.md covers Framework, Output Format, Gotchas and References
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Select bidding strategies
What it does
Mkt Ad Optimization is an agent skill from asgard-ai-platform/skills. Optimize digital advertising campaigns across Google Ads, Meta Ads, and LINE LAP including bidding strategies, audience targeting, creative testing, and ROAS optimization. Use this skill when the user needs to improve ad performance, reduce CPA, select bidding strategies, or allocate budget across platforms — even if they say 'our ads aren't working', 'reduce our cost per acquisition', 'Google vs Facebook ads', or 'improve our ROAS'.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/google-ads-structure.md` and `references/meta-creative.md`).
It sits in Marketing & SEO, covering Paid advertising. It works with Meta Ads and Google Ads. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to improve ad performance
- Select bidding strategies
- Allocate budget across platforms — even if they say our ads arent working
- Reduce our cost per acquisition
Example prompts
- “our ads aren”
- “reduce our cost per acquisition”
- “Google vs Facebook ads”
- “/mkt-ad-optimization”
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. 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 markdown).
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
Mkt Ad Optimization loads about 1.4k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 470 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
The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 470 words, ~1,411 tokens.
Download SKILL.mdSave it as
.claude/skills/mkt-ad-optimization/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- mkt-ad-optimization
- description
- Optimize digital advertising campaigns across Google Ads, Meta Ads, and LINE LAP including bidding strategies, audience targeting, creative testing, and ROAS optimization. Use this skill when the user needs to improve ad performance, reduce CPA, select bidding strategies, or allocate budget across platforms — even if they say 'our ads aren't working', 'reduce our cost per acquisition', 'Google vs Facebook ads', or 'improve our ROAS'.
- metadata.category
- WP-09 數位行銷
- metadata.tags
- digital-marketing, advertising, google-ads, meta-ads
Digital Ad Optimization
Framework
IRON LAW: Optimize for the Business Metric, Not the Ad Metric
High CTR with low conversion = wasted clicks (attracting curiosity, not buyers).
Low CPC with no sales = cheap traffic that doesn't convert.
The only metrics that matter: CPA (Cost Per Acquisition), ROAS (Return On Ad Spend),
and ultimately: profit per ad dollar. Optimize the funnel, not the ad.Platform Comparison
| Platform | Best For | Audience | Avg CPC (Taiwan) | Targeting Strength |
|---|---|---|---|---|
| Google Search | High-intent queries, direct response | Active searchers | NT$5-30 | Keyword intent (strongest) |
| Google Display | Awareness, retargeting, broad reach | Passive browsing | NT$1-5 | Contextual, audience |
| Meta (FB/IG) | Social discovery, visual products, lookalike | Social users | NT$3-15 | Interest, behavior, lookalike |
| LINE LAP | Taiwan-specific, broad reach | LINE users (95% Taiwan) | NT$3-20 | Demographics, interests |
| YouTube | Video branding, consideration | Video viewers | NT$1-5 (CPV) | Intent, affinity, in-market |
| TikTok | Gen Z, viral products, short-form video | Young demographic | NT$2-10 | Interest, behavior |
Bidding Strategies
| Strategy | How It Works | When to Use |
|---|---|---|
| Manual CPC | You set max CPC | Learning phase, small budgets, full control |
| Target CPA | Algorithm optimizes for target cost per acquisition | 30+ conversions/month, known CPA target |
| Target ROAS | Algorithm optimizes for target return on ad spend | E-commerce, known revenue per conversion |
| Maximize Conversions | Spend full budget to get max conversions | Growth phase, less concerned about CPA |
| Maximize Clicks | Most clicks for budget | Traffic campaigns, awareness |
Optimization Workflow
Phase 1: Audit Current Performance
- CPA by campaign, ad group, keyword/audience
- Quality Score (Google) or Relevance Score (Meta)
- Conversion rate by landing page
- Wasted spend: search terms with clicks but no conversions
Phase 2: Quick Wins (Week 1-2)
- Add negative keywords (Google Search)
- Pause underperforming ad groups/audiences
- Reduce bids on high-CPA keywords
- Fix landing page mismatches (ad promise ≠ landing page content)
Phase 3: Structural Improvements (Week 3-4)
- Audience segmentation: separate cold, warm, hot audiences
- Creative refresh: new ad copy/images (fatigue sets in after 2-4 weeks)
- Landing page optimization: speed, mobile, clear CTA
Phase 4: Scaling (Month 2+)
- Increase budget on winning campaigns (incrementally, +20%/week)
- Expand to new audiences (lookalikes, new interests)
- Test new platforms
- Build retargeting funnel: awareness → consideration → conversion
Show full SKILL.md (188 more words)Show less
Creative Testing (A/B)
| Element | What to Test | Minimum Sample |
|---|---|---|
| Headline | Benefit vs feature, question vs statement | 1,000 impressions each |
| Image/Video | Product shot vs lifestyle, static vs video | 1,000 impressions each |
| CTA | "Shop Now" vs "Learn More" vs "Get Offer" | 500 clicks each |
| Offer | Free shipping vs % discount vs gift | 100 conversions each |
Output Format
# Ad Optimization Report: {Campaign/Account}
## Performance Summary
| Metric | Current | Target | Status |
|--------|---------|--------|--------|
| Spend | NT${X}/month | — | — |
| CPA | NT${X} | NT${X} | 🟢/🟡/🔴 |
| ROAS | {X}x | {X}x | 🟢/🟡/🔴 |
| CVR | {%} | {%} | 🟢/🟡/🔴 |
## Top Performing
| Campaign/Ad | CPA | ROAS | Action |
|------------|-----|------|--------|
| {name} | NT${X} | {X}x | Scale +20% |
## Underperforming
| Campaign/Ad | CPA | Issue | Action |
|------------|-----|-------|--------|
| {name} | NT${X} | {diagnosis} | Pause/Optimize/Restructure |
## Optimization Plan
| Priority | Action | Expected Impact | Timeline |
|----------|--------|----------------|----------|
| 1 | {action} | CPA -{X%} | {weeks} |Gotchas
- Learning phase needs patience: Google/Meta algorithms need 50+ conversions per week per ad group to optimize. Restructuring too frequently resets learning.
- Attribution isn't perfect: Google takes credit for Google, Meta takes credit for Meta. Use UTM parameters and a neutral analytics tool (GA4) for cross-platform attribution.
- Creative fatigue is real: Even winning ads degrade over 2-4 weeks as the same audience sees them repeatedly. Refresh creatives regularly.
- Taiwan ad market specifics: LINE LAP reaches demographics that Facebook is losing (older users). Google is dominant for search intent. Mix platforms based on your audience.
- iOS privacy (ATT): Since iOS 14.5, Meta tracking is limited. Expect less accurate reporting for iOS users. Use conversion API and model-based attribution.
References
- For Google Ads account structure best practices, see
references/google-ads-structure.md - For Meta Ads creative guidelines, see
references/meta-creative.md
© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in mkt-ad-optimization of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_scenario.md
- references/google-ads-structure.md
- references/meta-creative.md
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Mkt Ad Optimization 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 |
|---|---|---|---|---|---|---|
| Mkt Ad Optimization this skillasgard-ai-platform/skills | 242 | — | ~1.4k | Automated safety check: Pass | MIT | |
| AdsCesarjoquin/Marketing-Skills | 201 | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Adscoreyhaines31/marketingskills | 54k | 1 repos | ~7k | Automated safety check: Pass | MIT | |
| Money Adsiamzifei/show-me-the-money | 1k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Mena Adsgrowthack88/growth-marketing-os | 116 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Openclaw Marketing SkillsLeoYeAI/openclaw-marketing-skills | 1k | 1 repos | ~928 | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Mkt Ad Optimization
What does Mkt Ad Optimization do?
Optimize digital advertising campaigns across Google Ads, Meta Ads, and LINE LAP including bidding strategies, audience targeting, creative testing, and ROAS optimization. Mkt Ad Optimization is an agent skill from asgard-ai-platform/skills. Optimize digital advertising campaigns across Google Ads, Meta Ads, and LINE LAP including bidding strategies, audience targeting, creative testing, and ROAS optimization.
When should I use Mkt Ad Optimization?
Mkt Ad Optimization fits situations like: the user needs to improve ad performance; select bidding strategies; allocate budget across platforms — even if they say our ads arent working; reduce our cost per acquisition.
How do I install Mkt Ad Optimization in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill mkt-ad-optimization -a claude-code`. Or copy the skill folder (mkt-ad-optimization in asgard-ai-platform/skills) into .claude/skills/mkt-ad-optimization in your project. Claude Code loads it when a task matches its description.
How do I install Mkt Ad Optimization in Codex?
Run `npx skills add asgard-ai-platform/skills --skill mkt-ad-optimization -a codex`. Or copy the skill folder (mkt-ad-optimization in asgard-ai-platform/skills) into .agents/skills/mkt-ad-optimization in your project. Codex loads it when a task matches its description.
Can I use Mkt Ad Optimization 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 asgard-ai-platform/skills --skill mkt-ad-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mkt-ad-optimization, .gemini/skills/mkt-ad-optimization, .github/skills/mkt-ad-optimization and .opencode/skills/mkt-ad-optimization in your project.
What does Mkt Ad Optimization need to run?
SKILL.md names no scripts, command-line tools or credentials: Mkt Ad Optimization is instructions for the agent only.
Does Mkt Ad Optimization 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 Mkt Ad Optimization 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 Mkt Ad Optimization use?
Mkt Ad Optimization 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 Mkt Ad Optimization use?
About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.5k tokens, read only when the agent opens those files.
What are the alternatives to Mkt Ad Optimization?
Skills that share tags, products or a category with Mkt Ad Optimization: Ads (Cesarjoquin/Marketing-Skills, 201 stars), Ads (coreyhaines31/marketingskills, 54k stars), Money Ads (iamzifei/show-me-the-money, 1k stars) and Mena Ads (growthack88/growth-marketing-os, 116 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mkt Ad Optimization?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.