AC asa
Apple Search Ads (ASA) specialist skill for iOS app paid user acquisition. Use this skill whenever the user mentions Apple Search Ads, ASA campaigns, app install campaigns, keyword bidding for apps, CPA optimization, TTR or conversion rate for ads, campaign budget allocation, Search Ads Basic or Advanced, scaling app installs, reducing cost per install, competitor keyword targeting in ads, discovery campaigns, or any iOS paid acquisition topic. Also trigger when users say things like "my CPA is too high", "how do I set up Apple Search Ads", "my ads aren't converting", "I want to scale my app installs with paid", or "help me with my Search Ads keywords". This is an interactive skill — diagnose first, then guide step by step.
As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
How to improve
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 60/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (asa) differs from the folder (apple-search-adser)
- 55Failures and branches. 1 branches
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 38 steps
- 100Execution cost. Instruction body is 1198 tokens
- 100Running it twice. No mutating operations
- medium 3 test cases, all positive: not one "should refuse" or "should ask first"
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 733: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 38 items
- +4Reference files are cited in the instructions (5 of 5)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.