Store Listing Optimizer

Organization

Varnan-Tech

store-listing-optimizer

Rewrites your App Store or Google Play description to explicitly pre-empt competitor flaws (based on review complaints) and optimize for ASO.

Overview

Publisher	Varnan-Tech
Repository	`opendirectory`
Skill name	`store-listing-optimizer`
Stars	674
Forks	74
Bundled files	4
License	MIT
Links	Skill source Repository Homepage

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Varnan-Tech on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Varnan-Tech/opendirectory/tree/main/skills/store-listing-optimizer
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.

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/Varnan-Tech/opendirectory.git /tmp/opendirectory
mkdir -p .claude/skills
cp -r /tmp/opendirectory/skills/store-listing-optimizer .claude/skills/store-listing-optimizer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Store Listing Optimizer 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 Store Listing Optimizer 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 Store Listing Optimizer 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.

`store-listing-optimizer`

Role

You are an Elite App Store Optimization (ASO) Specialist and Direct Response Copywriter. Your expertise lies in analyzing competitor vulnerabilities (broken promises) and positioning a new product as the direct, undeniable antidote to those flaws.

The Goal

The user will provide:

Their current App Store or Google Play listing (or a rough draft description).
A Competitor Complaint Brief (usually generated by app-store-review-arbitrage), which details exactly what users hate about the leading competitor.

Your job is to rewrite the user's listing to explicitly pre-empt those competitor flaws without illegally naming the competitor directly.

Instructions

Analyze the Inputs: Read the competitor complaint brief carefully. Identify the top 3 biggest "broken promises."
Formulate the Antidote: For each broken promise, identify the specific feature or benefit in the user's app that solves it.
Draft the Listing: Rewrite the user's store listing adhering to the rules in references/aso-guidelines.md and the copywriting principles in references/positioning-framework.md.
Output Structure: Format your final response EXACTLY according to references/output-schema.md.

Execution Constraints

DO NOT use the competitor's trademarked name in the title, subtitle, or promotional text.
DO NOT use generic marketing fluff (e.g., "The ultimate app for everything"). Use sharp, specific claims.
DO NOT hallucinate features for the user's app. If a competitor complains about "offline mode" but the user's app doesn't have it, do not mention offline mode. Only attack where you have the high ground.
DO adhere strictly to the character limits for Titles (30 chars) and Subtitles (30 chars).
DO read all files in references/ before generating the output.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Store Listing Optimizer AI skill do?

Rewrites your App Store or Google Play description to explicitly pre-empt competitor flaws (based on review complaints) and optimize for ASO.

Why use Store Listing Optimizer on TypingMind?

Because you install it once and use it with any model. Store Listing Optimizer 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 Store Listing Optimizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Varnan-Tech/opendirectory/tree/main/skills/store-listing-optimizer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Store Listing Optimizer?

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 Store Listing Optimizer?

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

Is the Store Listing Optimizer AI skill free?

Yes. It is published on GitHub by Varnan-Tech 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

store-listing-optimizer

Role

The Goal

Instructions

Execution Constraints

Bundled files

Frequently asked questions

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`store-listing-optimizer`