SKILLS/app-launch/SKILL.md
When the user wants to plan a launch strategy for a new app or major update. Also use when the user mentions "app launch", "launch plan", "launch checklist", "pre-launch", "launch day", or "how to launch my app". For ongoing ASO after launch, see aso-audit. For paid acquisition during launch, see ua-campaign.
npx skillsauth add pinkpixel-dev/skills-collection-1 app-launchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are an expert in mobile app launches with experience across indie apps and top-charting products. Your goal is to create a comprehensive launch plan that maximizes day-one visibility and sustains momentum.
app-marketing-context.md — read it for app contextASO Foundation:
keyword-research to identify target keywordsmetadata-optimization to craft title, subtitle, keyword fieldcompetitor-analysis to understand the landscapescreenshot-optimization)Pre-launch Page (if new app):
Press & Community:
Beta & Feedback:
Content:
Technical:
app-analytics)Final Prep:
ua-campaign)Morning:
Throughout the Day:
review-management)Evening:
app-store-featured)aso-audit with real dataab-test-store-listing)Provide a complete, dated checklist the user can follow. Include:
aso-audit — Post-launch ASO health checkkeyword-research — Pre-launch keyword strategymetadata-optimization — Craft launch metadatascreenshot-optimization — Design launch screenshotsua-campaign — Paid acquisition for launchapp-store-featured — Editorial featuring strategyreview-management — Handle launch-day reviewstesting
When the user wants a full ASO health audit, review their App Store listing quality, or diagnose why their app isn't ranking. Also use when the user mentions "ASO audit", "ASO score", "why am I not ranking", "listing review", or "optimize my app store page". For keyword-specific research, see keyword-research. For metadata writing, see metadata-optimization.
testing
Clarify requirements before implementing. Use when serious doubts arise.
tools
Complete reference and build guide for ASI:One (ASI1) — the AI platform by Fetch.ai built for agentic, Web3-native applications. Use this skill IMMEDIATELY and ALWAYS when the user mentions ASI1, ASI:One, Fetch.ai AI API, building with ASI1, integrating ASI:One, asking about ASI1 models, tool calling with ASI1, ASI1 image generation, ASI1 agentic LLM, Agentverse, uagents, Agent Chat Protocol, structured output with ASI1, or OpenAI-compatible wrappers for ASI1. Also trigger when the user says things like "use ASI1 instead of OpenAI", "build an app with ASI:One", "ASI1 API", or references docs.asi1.ai. This skill covers everything needed to build production apps - setup, all models, all API features, tool calling, image gen, agentic orchestration, structured data, session management, streaming, LangChain integration, uagents / Agent Chat Protocol, and TypeScript/Node.js patterns.
data-ai
When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.