Ua Campaign

What it does

When your agent uses it

• Optimize paid user acquisition campaigns
• The user mentions Apple Search Ads
• User acquisition
• Install campaign

Example prompts

• “Apple Search Ads”
• “user acquisition”
• “paid ads”
• “/ua-campaign”

Workflow steps

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

1. 1Check for app-marketing-context.md — read it for context
2. 2Ask for monthly UA budget (this determines channel strategy)
3. 3Ask for target CPI (cost per install) or target ROAS
4. 4Ask for current LTV (lifetime value per user)
5. 5Ask for target audience (demographics, interests, behaviors)
6. 6Ask for target countries
7. 7Ask for app category (affects channel selection)

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.

  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

Ua Campaign loads about 1.6k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 602 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~87

When it runs · the whole SKILL.md, loaded when a task matches

~1.6k

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

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). 602 words, ~1,631 tokens.

name

ua-campaign

description

When the user wants to plan or optimize paid user acquisition campaigns. Also use when the user mentions "Apple Search Ads", "user acquisition", "paid ads", "UA", "ad campaign", "install campaign", "Facebook ads for apps", "TikTok ads", or "cost per install". For organic growth, see aso-audit. For launch-specific UA, see app-launch.

metadata.version

1.0.0

Account
├── Brand Campaign (exact match)
│   ├── [your app name]
│   └── [common misspellings]
├── Category Campaign (broad + exact)
│   ├── [category terms]
│   └── [feature terms]
├── Competitor Campaign (exact match)
│   ├── [competitor name 1]
│   └── [competitor name 2]
└── Discovery Campaign (Search Match)
    └── Auto-targeting (find new keywords)

Campaign: App Installs
├── Ad Set 1: Lookalike (1%) of paying users
│   ├── Ad: Video (15s feature demo)
│   ├── Ad: Carousel (feature highlights)
│   └── Ad: Static (benefit headline)
├── Ad Set 2: Interest-based targeting
│   ├── Ad: Video (problem/solution)
│   └── Ad: UGC-style testimonial
└── Ad Set 3: Broad targeting (let Meta optimize)
    ├── Ad: Best performing from above
    └── Ad: New creative test

Impressions → Taps → Installs → Activations → Purchases
   CTR          CVR      CPI        CPA          ROAS

Monthly Budget: $[X]
Target CPI: $[X]
Target Monthly Installs: [N]

Channel Allocation:
- Apple Search Ads: [X]% ($[X])
- Meta: [X]% ($[X])
- Google UAC: [X]% ($[X])
- Testing: [X]% ($[X])

Week 1: [setup tasks]
Week 2: [launch tasks]
Week 3-4: [optimization tasks]

© 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/ua-campaign of appeeky/aso-skills.

Open the folder on GitHubat commit 3919d7c