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App Launch

CommunityPopular
Eronred
app-launch

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.

Overview

PublisherEronred
Repositoryaso-skills
Skill nameapp-launch
Stars
1.9K
Forks
116
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Eronred on GitHub. Read the source before you install it.

Installation

Install the App Launch AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Eronred/aso-skills.git /tmp/aso-skills
mkdir -p .claude/skills
cp -r /tmp/aso-skills/skills/app-launch .claude/skills/app-launch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable App Launch in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads App Launch on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so App Launch is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

App Launch Strategy

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.

Initial Assessment

  1. Check for app-marketing-context.md — read it for app context
  2. Ask: New app or major update?
  3. Ask: Launch date (or flexible?)
  4. Ask: Budget (organic only, or paid acquisition available?)
  5. Ask: Pre-existing audience? (email list, social following, existing app users)
  6. Ask: Target countries (simultaneous or phased rollout?)

Launch Timeline

8 Weeks Before Launch

ASO Foundation:

  • Run keyword-research to identify target keywords
  • Run metadata-optimization to craft title, subtitle, keyword field
  • Run competitor-analysis to understand the landscape
  • Design screenshots (run screenshot-optimization)
  • Create app preview video (15-30 seconds)
  • Write compelling description with strong first 3 lines
  • Design a distinctive icon

Pre-launch Page (if new app):

  • Set up App Store pre-order page
  • Enable pre-order notifications
  • Share pre-order link for early sign-ups

Press & Community:

  • Build a press kit (screenshots, icon, description, founder story)
  • Identify 20-30 relevant journalists, bloggers, YouTubers
  • Draft personalized pitch emails
  • Identify relevant communities (Reddit, Discord, forums, Twitter/X)

4 Weeks Before Launch

Beta & Feedback:

  • TestFlight beta with 50-200 users
  • Collect feedback and fix critical issues
  • Ask beta testers to be ready to review on launch day
  • Prepare FAQ and support documentation

Content:

  • Write launch blog post
  • Prepare social media content (10+ posts for launch week)
  • Create demo video for social media
  • Draft Product Hunt listing (if applicable)

Technical:

  • Set up analytics (run app-analytics)
  • Implement in-app rating prompt (show after positive experience)
  • Set up crash reporting
  • Test in-app purchases and subscriptions

1 Week Before Launch

Final Prep:

  • Submit app for review (allow 2-3 days buffer)
  • Schedule press embargo lift for launch day
  • Prepare launch day social posts
  • Brief beta testers on review timing
  • Set up App Store Connect for phased release (or immediate)
  • Prepare Apple Search Ads campaign (run ua-campaign)

Launch Day

Morning:

  • Release the app (or confirm phased release started)
  • Send press emails with embargo lift
  • Post on social media (personal + app accounts)
  • Post on Product Hunt (if applicable)
  • Post in relevant communities (Reddit, Discord, forums)
  • Email your list

Throughout the Day:

  • Monitor App Store Connect for download numbers
  • Respond to every review (run review-management)
  • Engage with social media mentions
  • Monitor crash reports
  • Share milestones ("We hit #X in [category]!")

Evening:

  • Thank early adopters publicly
  • Share day-one stats (if impressive)
  • Plan tomorrow's content

Week 1 After Launch

  • Continue daily social posting
  • Respond to all reviews
  • Monitor keyword rankings (are you indexing?)
  • Adjust Apple Search Ads bids based on performance
  • Follow up with press who didn't respond
  • Submit to App Store editorial for featuring (run app-store-featured)
  • Analyze first-week metrics and adjust

Month 1 After Launch

  • Run full aso-audit with real data
  • Adjust metadata based on actual keyword performance
  • A/B test screenshots (run ab-test-store-listing)
  • Plan first major update based on user feedback
  • Evaluate paid acquisition ROI
  • Set up ongoing keyword tracking

Launch Amplification Tactics

Free Channels

  1. Product Hunt — Best for productivity, developer, and design tools
  2. Hacker News (Show HN) — Best for technical or innovative apps
  3. Reddit — Find 3-5 relevant subreddits, contribute before promoting
  4. Twitter/X — Build-in-public thread, launch announcement
  5. LinkedIn — If B2B or productivity app
  6. YouTube — Demo video, "how I built this" story
  7. App review sites — AppAdvice, MacStories, 9to5Mac, etc.

Paid Channels

  1. Apple Search Ads — Highest intent, start here
  2. Meta (Facebook/Instagram) — Best for consumer apps
  3. TikTok — Best for younger demographics
  4. Google Ads (UAC) — Broad reach
  5. Influencer partnerships — Micro-influencers (10K-100K) often best ROI

Output Format

Launch Plan Document

Provide a complete, dated checklist the user can follow. Include:

  1. Timeline with specific dates (based on their launch date)
  2. Prioritized task list for each phase
  3. Channel strategy with specific tactics
  4. Budget allocation (if paid channels available)
  5. Success metrics and targets for week 1, month 1, month 3

Related Skills

  • aso-audit — Post-launch ASO health check
  • keyword-research — Pre-launch keyword strategy
  • metadata-optimization — Craft launch metadata
  • screenshot-optimization — Design launch screenshots
  • ua-campaign — Paid acquisition for launch
  • app-store-featured — Editorial featuring strategy
  • review-management — Handle launch-day reviews

Frequently asked questions

What does the App Launch AI skill do?

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.

Why use App Launch on TypingMind?

Because you install it once and use it with any model. App Launch is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install App Launch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Eronred/aso-skills/tree/main/skills/app-launch. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use App Launch?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with App Launch?

As many as you like. As long as a model supports skills, you can use App Launch with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the App Launch AI skill free?

Yes. It is published on GitHub by Eronred under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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