Custom Product Pages
gustavscirulis/snapgrid
Generates Custom Product Page metadata templates with screenshot strategies, keyword targeting, and audience-specific messaging for up to 35 page variants.
When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS…
Install Apple Search Ads
$ npx skills add appeeky/aso-skills --skill apple-search-ads -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install appeeky/aso-skills apple-search-ads --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/appeeky/aso-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/apple-search-ads .claude/skills/apple-search-ads && 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 "apple-search-ads" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/apple-search-ads into .claude/skills/apple-search-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apple-search-ads", 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/appeeky/aso-skills/tree/main/skills/apple-search-adsType 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 appeeky/aso-skills --skill apple-search-ads -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install appeeky/aso-skills apple-search-ads --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/apple-search-ads .agents/skills/apple-search-ads && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "apple-search-ads" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/apple-search-ads into .agents/skills/apple-search-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apple-search-ads", 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 appeeky/aso-skills --skill apple-search-ads -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install appeeky/aso-skills apple-search-ads --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/apple-search-ads .cursor/skills/apple-search-ads && 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 "apple-search-ads" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/apple-search-ads into .cursor/skills/apple-search-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apple-search-ads", 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/appeeky/aso-skills.git --path skills/apple-search-ads--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 appeeky/aso-skills --skill apple-search-ads -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install appeeky/aso-skills apple-search-ads --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/apple-search-ads .gemini/skills/apple-search-ads && 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 "apple-search-ads" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/apple-search-ads into .gemini/skills/apple-search-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apple-search-ads", 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 appeeky/aso-skills apple-search-adsInstalls 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 appeeky/aso-skills --skill apple-search-ads -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/apple-search-ads .github/skills/apple-search-ads && 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 "apple-search-ads" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/apple-search-ads into .github/skills/apple-search-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apple-search-ads", 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 appeeky/aso-skills --skill apple-search-ads -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install appeeky/aso-skills apple-search-ads --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/apple-search-ads .opencode/skills/apple-search-ads && 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 "apple-search-ads" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/apple-search-ads into .opencode/skills/apple-search-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apple-search-ads", 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
apple-search-ads- GitHub stars
- 2.2k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 622 words
- Files
- 1
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- MIT
At a glance
When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS…
- Wants to set up
- SKILL.md covers Why ASA Is Different, Campaign Types, Account Structure and Match Types, plus 8 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Scale Apple Search Ads (ASA) campaigns — including keyword bidding
What it does
Apple Search Ads is an agent skill from appeeky/aso-skills. When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS optimization. Use when the user mentions "Apple Search Ads", "ASA", "Search Ads", "Search tab ads", "Today tab ads", "CPT", "TTR", "Search Match", "exact match", "broad match", "CPP in ads", "ASA bidding", or "Search Ads budget". For Meta/Google UAC/TikTok paid UA, see ua-campaign.
Its SKILL.md is about 1.8k 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 App store release and Paid advertising. It works with C++ and TikTok. The repository describes itself as: AI agent skills for App Store Optimization (ASO) and app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent… The licence is MIT.
When your agent uses it
- Wants to set up
- Scale Apple Search Ads (ASA) campaigns — including keyword bidding
- Campaign structure
- Creative Product Sets
Example prompts
- “Apple Search Ads”
- “Search Ads”
- “Search tab ads”
- “/apple-search-ads”
What it can do on your machine
Read from SKILL.md and the folder at commit 3919d7c. 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 bash).
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
Apple Search Ads loads about 1.8k tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 622 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 appeeky/aso-skills at commit 3919d7c, republished under its MIT licence (© appeeky). 622 words, ~1,837 tokens.
Download SKILL.mdSave it as
.claude/skills/apple-search-ads/SKILL.md (or your agent's skills folder).- name
- apple-search-ads
- description
- When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS optimization. Use when the user mentions "Apple Search Ads", "ASA", "Search Ads", "Search tab ads", "Today tab ads", "CPT", "TTR", "Search Match", "exact match", "broad match", "CPP in ads", "ASA bidding", or "Search Ads budget". For Meta/Google UAC/TikTok paid UA, see ua-campaign.
- metadata.version
- 1.0.0
Apple Search Ads
You are a specialist in Apple Search Ads (ASA) — the only ad platform that places ads natively within the App Store. ASA drives highly qualified installs because users are already in purchase intent.
Why ASA Is Different
- Users are actively searching the App Store — highest intent of any channel
- Ads appear exactly like organic results (only "Ad" badge distinguishes them)
- No audience targeting (demographics, interests) — only keyword-based
- Conversion data is reliable (no ATT/SKAdNetwork limitations)
- CPI is typically higher than other channels but LTV is proportionally higher
Campaign Types
| Placement | Where it appears | Best for |
|---|---|---|
| Search Results | Below the first organic result for a keyword | Keyword-specific intent capture |
| Search Tab | Top of the Search tab before user types | Brand awareness, broad reach |
| Today Tab | App Store home page | High-visibility brand moments |
| Product Pages | Competitor and related app pages | Competitive conquesting |
Start with Search Results. It's the highest-intent, most measurable, most controllable placement.
Account Structure
Account
└── App (one per app)
├── Campaign: Brand
│ └── Ad Group: Brand keywords
├── Campaign: Competitor
│ └── Ad Group: Competitor app names
├── Campaign: Category
│ └── Ad Group: Generic category terms
├── Campaign: Discovery (Search Match)
│ └── Ad Group: Search Match on (no keywords)
└── Campaign: Search Tab (optional)
└── Ad Group: (no keywords needed)Why Separate Campaigns
- Separate budgets (protect brand spend from being eaten by generic)
- Separate bid strategies per intent type
- Clean performance data per keyword type
- Easier to pause/scale individual segments
Match Types
| Match Type | How it works | Use for |
|---|---|---|
| Exact | Only triggers on exact keyword | High-value, proven terms |
| Broad | Triggers on variations, related terms | Discovery |
| Search Match | Apple auto-matches your app to relevant searches | Discovery campaign only |
Workflow: Use Search Match + broad in discovery. Mine the search terms report weekly. Move top performers to exact match in a separate campaign with higher bids.
Keyword Strategy
Seed List by Campaign
Brand campaign:
- Your app name (exact)
- Common misspellings
- Your developer name
Competitor campaign:
- Top 5–10 competitor app names (exact)
- Tip: bid lower, watch conversion — brand-searchers for competitors convert at lower rates
Category campaign:
- High-volume generic terms: "meditation app", "habit tracker", "budget planner"
- Long-tail terms: "meditation app for anxiety", "daily habit tracker free"
Use Appeeky to validate volume and difficulty:
GET /v1/keywords/metrics?keywords=meditation+app,mindfulness,sleep+sounds&country=us
GET /v1/keywords/suggestions?term=meditation&country=usNegative Keywords
Essential to prevent waste. Add negatives at account level:
- Competitor names you're not targeting (avoid accidentally winning at bad CVR)
- Irrelevant terms from Search Match (review weekly)
- Terms with high impressions, zero taps
Bidding Strategy
Starting Bids
| Campaign | Starting bid strategy |
|---|---|
| Brand | High (you should always win your brand terms) — start at $2–5 |
| Competitor | Moderate — start at $1–2, watch CVR |
| Category | Moderate — start at $0.80–1.50 |
| Discovery | Low — start at $0.50–0.80 |
Show full SKILL.md (236 more words)Show less
Bid Optimization Signals
| Signal | Action |
|---|---|
| Low impression share (<50%) | Increase bid |
| High TTR but low conversion | Improve product page or paywall |
| Low TTR | Creative may not match keyword intent |
| High CVR but spend not scaling | Increase bid or budget cap |
| CPT rising with no CVR improvement | Reduce bid or pause keyword |
Target CPT = Target CPI × Historical CVR (installs/taps)
Automated Bidding
ASA offers automated bidding toward a target CPA or target ROAS. Use only after:
- Campaign has 50+ conversions per ad group per week (minimum data)
- Manual bidding has established a baseline CPT
Creative Product Sets (CPS) and CPP Routing
Link Custom Product Pages (CPPs) to specific ad groups to show tailored creatives:
Ad Group: "yoga app" keyword → CPP: Yoga-themed screenshots
Ad Group: "sleep sounds" keyword → CPP: Sleep-themed screenshots
Ad Group: Competitor keywords → CPP: Comparison-focused screenshotsWhy this works: Users searching "yoga app" see yoga screenshots instead of generic app screenshots. TTR and CVR both improve (typically +15–30%).
Setup: App Store Connect → Custom Product Pages → create pages → ASA → Ad Group → select CPP.
Metrics and Benchmarks
| Metric | Formula | Benchmark |
|---|---|---|
| TTR | Taps / Impressions | > 5% strong; < 3% investigate creative |
| CVR | Installs / Taps | > 50% good; < 30% review product page |
| CPT | Spend / Taps | Varies by category |
| CPI | Spend / Installs | Varies; compare to LTV |
| ROAS | Revenue / Spend | > 100% = profitable; target 150%+ |
Weekly Optimization Checklist
- [ ] Review Search Terms report → add top new terms to exact match campaigns
- [ ] Add new negatives from irrelevant search terms
- [ ] Check impression share per keyword → adjust bids where < 50%
- [ ] Pause keywords with 100+ taps and 0 installs
- [ ] Review TTR per ad group → test new CPS/CPP if TTR < 3%
- [ ] Check budget pacing — no campaigns hitting daily cap before noon
- [ ] Compare CVR across campaigns — Category vs Brand vs CompetitorScaling Checklist
Before increasing budget:
- [ ] CVR > 30% on main campaigns
- [ ] CPI < 3× your target
- [ ] Bid strategy is manual and stable
- [ ] Negative keyword list maintained
- [ ] At least 2 CPP variants testedOutput Format
Campaign Audit
Account: [App Name]
Campaign Structure:
✓/✗ Brand campaign
✓/✗ Competitor campaign
✓/✗ Category campaign
✓/✗ Discovery campaign
Performance ([period]):
Impressions: [N]
Taps: [N] (TTR: [X]%)
Installs: [N] (CVR: [X]%)
CPI: $[N]
Spend: $[N]
Top issues:
1. [issue] — [recommended fix]
2. [issue] — [recommended fix]
Priority actions:
1. [specific change] — Expected impact: [rationale]
2. [specific change] — Expected impact: [rationale]Related Skills
ua-campaign— Full paid UA across all channels (Meta, Google, TikTok)keyword-research— Identify keywords to target in ASAscreenshot-optimization— Build CPPs for keyword-specific creativesab-test-store-listing— Test product page CVR before scaling spend
© appeeky, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/apple-search-ads of appeeky/aso-skills.
Open the folder on GitHubat commit 3919d7c
Compare with similar skills
Apple Search Ads 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 |
|---|---|---|---|---|---|---|
| Apple Search Ads this skillappeeky/aso-skills | 2.2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Custom Product Pagesgustavscirulis/snapgrid | 116 | 1 repos | ~2.2k | Automated safety check: Pass | Custom licence | |
| Gingiris Aso GrowthGingiris-1031/Competitor-analysis-tool | 110 | — | ~1.3k | Automated safety check: Pass | None | |
| Paid Ads AuditAgriciDaniel/claude-ads | 9.9k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Marketing OsYuzzyuk/marketing-os | 540 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Ad Spend Allocatoririnabuht12-oss/marketing-skills | 4.1k | — | ~1.3k | Automated safety check: Pass | None |
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Gingiris-1031/Competitor-analysis-tool
🇺🇸 ASO & Mobile App Growth Playbook 2026 — Complete App Store Optimization guide.
Paid Ads Audit
AgriciDaniel/claude-ads
Runs a source-grounded paid advertising audit across up to 12 ad platforms, with parallel platform workers, deterministic scoring and a versioned JSON bundle.
Marketing Os
Yuzzyuk/marketing-os
A complete marketing department in one skill. An agent skill from Yuzzyuk/marketing-os.
Ad Spend Allocator
irinabuht12-oss/marketing-skills
Multi-channel budget optimization using MER, marginal ROAS, and diminishing returns analysis.
Ad Creative
coreyhaines31/marketingskills
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.
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Related
Categories
Questions about Apple Search Ads
What does Apple Search Ads do?
When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS…. Apple Search Ads is an agent skill from appeeky/aso-skills. When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS optimization.
When should I use Apple Search Ads?
Apple Search Ads fits situations like: wants to set up; scale Apple Search Ads (ASA) campaigns — including keyword bidding; campaign structure; creative Product Sets.
How do I install Apple Search Ads in Claude Code?
Run `npx skills add appeeky/aso-skills --skill apple-search-ads -a claude-code`. Or copy the skill folder (skills/apple-search-ads in appeeky/aso-skills) into .claude/skills/apple-search-ads in your project. Claude Code loads it when a task matches its description.
How do I install Apple Search Ads in Codex?
Run `npx skills add appeeky/aso-skills --skill apple-search-ads -a codex`. Or copy the skill folder (skills/apple-search-ads in appeeky/aso-skills) into .agents/skills/apple-search-ads in your project. Codex loads it when a task matches its description.
Can I use Apple Search Ads 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 appeeky/aso-skills --skill apple-search-ads -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/apple-search-ads, .gemini/skills/apple-search-ads, .github/skills/apple-search-ads and .opencode/skills/apple-search-ads in your project.
What does Apple Search Ads need to run?
SKILL.md names no scripts, command-line tools or credentials: Apple Search Ads is instructions for the agent only.
Does Apple Search Ads 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 Apple Search Ads 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 Apple Search Ads use?
Apple Search Ads 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 Apple Search Ads use?
About 1.8k tokens (SKILL.md is roughly 7.3k 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 Apple Search Ads?
Skills that share tags, products or a category with Apple Search Ads: Custom Product Pages (gustavscirulis/snapgrid, 116 stars), Gingiris Aso Growth (Gingiris-1031/Competitor-analysis-tool, 110 stars), Paid Ads Audit (AgriciDaniel/claude-ads, 9.9k stars) and Marketing Os (Yuzzyuk/marketing-os, 540 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Apple Search Ads?
appeeky (a GitHub organization) maintains it in appeeky/aso-skills, which has 2,163 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 6, 2026.
Source: appeeky/aso-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.