Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Optimize app store listings with keyword research, A/B testing, and conversion tactics for iOS and Android.
Optimize app store listings with keyword research, A/B testing, and conversion tactics for iOS and Android.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Competitor analysis: what keywords do top apps rank for? Search volume vs difficulty: long-tail converts better than head terms Seasonal keywords: plan metadata updates around trends Localize keyword research per market โ direct translation misses local search patterns Track ranking changes weekly โ ASO is continuous optimization
Title (30 chars): primary keyword + brand, front-load keywords Subtitle (30 chars): secondary keywords, benefit statement Keyword field (100 chars): no spaces after commas, no duplicates from title/subtitle Apple indexes title, subtitle, keyword field, and IAP names Promotional text doesn't affect ranking โ use for timely updates
Title (30 chars): same rules as iOS Short description (80 chars): high keyword density, hooks user Long description (4000 chars): keywords in first and last paragraphs, 2-3% density Google indexes all text including reviews Developer name and URL affect rankings
First two screenshots = 80% of impression impact โ make them count Show outcomes and benefits, not UI โ "Lost 20lbs" not "Calorie tracker" Text overlays: large font, readable on small screens, localized Video preview: 15-30 seconds, hook in first 3s, works without sound Icon: simple, recognizable at 16px, stands out from competitors
iOS Custom Product Pages: test up to 35 variants per page Google Store Listing Experiments: screenshots, descriptions, icons Test one element at a time โ multiple changes hide winners Run tests to statistical significance โ 7 days minimum Winner replaces default, start next test
Ratings 4.0+ is table stakes โ below kills conversion rate Review count signals credibility โ more installs = more reviews flywheel "Editors' Choice" and featuring dramatically boost conversion Size under 100MB avoids WiFi-only download friction Recent updates signal active development
Respond to all negative reviews within 24 hours Ask clarifying questions โ often converts 1-star to 4-star after fix Update response after shipping fixes โ reviewers can update rating Never argue, always empathize and offer solution Report fake reviews through official channels
Top 10 languages cover 80% of global downloads Cultural adaptation > literal translation โ local idioms, examples Localize screenshots and video โ text overlays must match language Local keyword research per language โ search behavior differs Local pricing strategies โ purchasing power varies
Update metadata for holidays, events, seasons iOS LiveOps and In-App Events boost visibility Time updates to avoid review delays โ submit 3+ days early Coordinate with marketing campaigns โ consistent messaging
Impression to install conversion rate by source Keyword rankings daily โ catch drops early Competitor tracking โ their wins are your opportunities Attribution: which keywords drive paying users, not just installs Organic vs paid split โ healthy apps have majority organic
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.