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Turn an app idea into validated, App-Store-ready name candidates.
Passed 18 of 21 test cases with the skill, and 11 of 21 without it.
and 7 more in the full report
7 fixed12 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
In the final output schema for app naming, what key records candidates that were eliminated prior to final validation, and what details must accompany each?
| Checked | Without skill | With skill |
|---|---|---|
| Stores eliminated candidates under key filtered_out alongside specific rejection reasons. | Missed | Passed |
The instructions your model reads when the skill loads.
Takes an app idea or one-liner and produces a ranked shortlist of 5-8 validated name candidates — not random brainstorming. Each candidate is generated from a naming archetype, paired with a subtitle, checked against App Store display rules, and run through an availability gauntlet (App Store Connect name, trademark, domain, handle) before it's recommended.
The output is a name you can reserve in App Store Connect today, with the keyword work already aligned to feed the app-store/keyword-optimizer skill.
Use this skill when the user:
idea-generator and needs the name before writing the PRDNo app idea yet? Run product/idea-generator first, then come back with the chosen idea.
Already have a locked name and just want ASO? Skip this skill — go to app-store/keyword-optimizer.
Before generating names, load both reference files:
| File | Purpose |
|---|---|
| naming-strategies.md | The 3 archetypes, naming techniques, App Store display mechanics (30-char limit, home-screen truncation, name/subtitle interplay), good/bad examples |
| validation-checklist.md | The knockout gauntlet — App Store Connect name availability, trademark sanity check, domain/.app, social handles, linguistic safety |
Idea/positioning
↓ elicit
Naming brief (what it does, who it's for, personality, scope ceiling)
↓ generate across archetypes
20-40 raw candidates (branded / descriptive / hybrid)
↓ filter (pronounce, spell, truncate, confusability)
8-12 survivors
↓ pair with subtitle + score
test cases passed, vs 11 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.