Agent skill

Store Listing Optimizer

by Varnan-Tech in Varnan-Tech/opendirectory

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

MITAuto-check passedMobile

Install Store Listing Optimizer

skills CLI
$ npx skills add Varnan-Tech/opendirectory --skill store-listing-optimizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Varnan-Tech/opendirectory store-listing-optimizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Varnan-Tech/opendirectory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/store-listing-optimizer .claude/skills/store-listing-optimizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
store-listing-optimizer
GitHub stars
674
Token cost
~539 tokens
SKILL.md length
259 words
Files
9 (incl. references)
Skills in repo
61
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 2 steps: Their current App Store or Google Play… → A Competitor Complaint Brief (usually…
  • Tasks that involve App store release
  • SKILL.md covers Role, The Goal, Instructions and Execution Constraints
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Store Listing Optimizer is an agent skill from Varnan-Tech/opendirectory. Rewrites your App Store or Google Play description to explicitly pre-empt competitor flaws (based on review complaints) and optimize for ASO.

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `README.md`, `evals/evals.json` and `evals/fixtures/competitor_brief.md`). Compatibility notes: ["claude-code","gemini-cli","github-copilot"]

It sits in Mobile, covering App store release. The repository describes itself as: AI Agent Skills built for Founders who hate Marketing. The licence is MIT.

When your agent uses it

  • Tasks that involve App store release

Example prompts

  • “Use the store-listing-optimizer skill to rewrite your App Store or Google Play description to explicitly pre-empt competitor flaws (based on review…”
  • “/store-listing-optimizer”

Requirements

  • Compatibility (from SKILL.md): ["claude-code","gemini-cli","github-copilot"]

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  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…

What it can do on your machine

Read from SKILL.md and the folder at commit 62e437a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    ["claude-code","gemini-cli","github-copilot"]

    From compatibility in the SKILL.md frontmatter.

Context cost

Store Listing Optimizer loads about 539 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 259 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~539
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Varnan-Tech/opendirectory at commit 62e437a, republished under its MIT licence (© Varnan-Tech). 259 words, ~539 tokens.

Download SKILL.mdSave it as .claude/skills/store-listing-optimizer/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
store-listing-optimizer
description
Rewrites your App Store or Google Play description to explicitly pre-empt competitor flaws (based on review complaints) and optimize for ASO.
compatibility
["claude-code","gemini-cli","github-copilot"]
version
1.0.0

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 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.

© Varnan-Tech, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (references) in skills/store-listing-optimizer of Varnan-Tech/opendirectory.

  • SKILL.md
  • .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

Open the folder on GitHubat commit 62e437a

Compare with similar skills

Store Listing Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Store Listing Optimizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Store Listing Optimizer this skillVarnan-Tech/opendirectory674—~539Automated safety check: PassMIT
Aso Appstore Screenshotsadamlyttleapps/claude-skill-aso-appstore-screenshots1.8k1 repos~9.6kAutomated safety check: PassMIT
Asc Ppp Pricingrorkai/app-store-connect-cli-skills1.1k4 repos~4.2kAutomated safety check: PassMIT
Maintain Docusaurus Manualmatthiasn/lotti1.2k—~930Automated safety check: PassGPL-3.0
Workbuddy Skin Studiocdredfox/workbuddy-skin-studio196—~1.5kAutomated safety check: PassMIT
App Store AsoTimBroddin/app-store-aso-skill100—~1.5kAutomated safety check: PassMIT

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Categories

Questions about Store Listing Optimizer

What does Store Listing Optimizer do?

Rewrites your App Store or Google Play description to explicitly pre-empt competitor flaws (based on review complaints) and optimize for ASO. Store Listing Optimizer is an agent skill from Varnan-Tech/opendirectory. Rewrites your App Store or Google Play description to explicitly pre-empt competitor flaws (based on review complaints) and optimize for ASO.

When should I use Store Listing Optimizer?

Store Listing Optimizer fits situations like: tasks that involve App store release.

How do I install Store Listing Optimizer in Claude Code?

Run `npx skills add Varnan-Tech/opendirectory --skill store-listing-optimizer -a claude-code`. Or copy the skill folder (skills/store-listing-optimizer in Varnan-Tech/opendirectory) into .claude/skills/store-listing-optimizer in your project. Claude Code loads it when a task matches its description.

How do I install Store Listing Optimizer in Codex?

Run `npx skills add Varnan-Tech/opendirectory --skill store-listing-optimizer -a codex`. Or copy the skill folder (skills/store-listing-optimizer in Varnan-Tech/opendirectory) into .agents/skills/store-listing-optimizer in your project. Codex loads it when a task matches its description.

Can I use Store Listing Optimizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Varnan-Tech/opendirectory --skill store-listing-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/store-listing-optimizer, .gemini/skills/store-listing-optimizer, .github/skills/store-listing-optimizer and .opencode/skills/store-listing-optimizer in your project.

What does Store Listing Optimizer need to run?

SKILL.md names no scripts, command-line tools or credentials: Store Listing Optimizer is instructions for the agent only. Compatibility (from SKILL.md): ["claude-code","gemini-cli","github-copilot"].

Does Store Listing Optimizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Store Listing Optimizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Store Listing Optimizer use?

Store Listing Optimizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Store Listing Optimizer use?

About 539 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 900 tokens, read only when the agent opens those files.

What are the alternatives to Store Listing Optimizer?

Skills that share tags, products or a category with Store Listing Optimizer: Aso Appstore Screenshots (adamlyttleapps/claude-skill-aso-appstore-screenshots, 1.8k stars), Asc Ppp Pricing (rorkai/app-store-connect-cli-skills, 1.1k stars), Maintain Docusaurus Manual (matthiasn/lotti, 1.2k stars) and Workbuddy Skin Studio (cdredfox/workbuddy-skin-studio, 196 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Store Listing Optimizer?

Varnan-Tech (a GitHub organization) maintains it in Varnan-Tech/opendirectory, which has 674 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on August 16, 2026.

Source: Varnan-Tech/opendirectory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.