Agent skill · Code Review & Quality

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.

Varnan-Techgithub.com/Varnan-TechGitHub ↗
claude-codecopilotMIT
Install
npx skills add Varnan-Tech/opendirectory --skill store-listing-optimizer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 9
SKILL.md size: 2 KB
Bundled scripts: none
Version: 1.0.0
Requires: [claude-code, gemini-cli, github-copilot]
Path: skills/store-listing-optimizer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 571
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# `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: 1. **Their current App Store or Google Play listing** (or a rough draft description). 2. **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 1. **Analyze the Inputs:** Read the competitor complaint brief carefully. Identify the top 3 biggest "broken promises." 2. **Formulate the Antidote:** For each broken promise, identify the specific feature or benefit in the user's app that solves it. 3. **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`. 4. **Output Structure:** Format your final re

What's inside
Steps it walks through
  1. Role
  2. The Goal
  3. Instructions
  4. Execution Constraints
Ships with 8 files
  • .env.example
  • README.md
  • evals/evals.json
  • evals/fixtures/competitor_brief.md
  • evals/fixtures/current_listing.md
  • references/aso-guidelines.md
  • references/output-schema.md
  • references/positioning-framework.md
More from opendirectory
All skills →
About this skill
What does the store-listing-optimizer skill do?

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

How do I install it?

Run `npx skills add Varnan-Tech/opendirectory --skill store-listing-optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Varnan-Tech/opendirectory, a repository with 571 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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