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Aso Marketing

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luongnv89
aso-marketing

Optimize App Store and Google Play listings via a 7-phase, plan-approval-gated ASO workflow (keyword strategy, metadata, localization). Don't use for web SEO, paid UA campaigns, or pre-submission compliance audits.

Overview

Publisherluongnv89
Repositoryskills
Skill nameaso-marketing
Stars
124
Forks
18
Bundled files
12
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.

  • 12 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by luongnv89 on GitHub. Read the source before you install it.

Installation

Install the Aso Marketing 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/luongnv89/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/aso-marketing .claude/skills/aso-marketing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aso Marketing 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 Aso Marketing 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 Aso Marketing 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.

ASO Marketing — Full-Lifecycle App Store Optimization

A comprehensive, iterative ASO workflow that takes a mobile app from analysis through planning, execution, verification, and reporting — covering both Apple App Store and Google Play Store.

Environment Check

Before running this skill, verify:

  • The project is a mobile app (iOS/Android or both)
  • You have access to the app's source code or metadata files
  • You can read project configuration files (build.gradle, Info.plist, etc.)
  • You can create/update metadata files in the project directory

If any check fails, stop and ask for clarification.

Repo Sync Before Edits (mandatory)

Before creating, updating, or deleting files in an existing repository, sync the current branch with remote. Run the dry-run command first to preview, then confirm with the user before destructive sync.

bash
# Dry-run preview first
git fetch --dry-run origin
git status

# Then sync (after user confirms working tree is clean or backed up)
branch="$(git rev-parse --abbrev-ref HEAD)"
git fetch origin
git pull --rebase origin "$branch"

If the working tree is not clean, ask the user before stashing. If origin is missing, pull is unavailable, or rebase/stash conflicts occur, stop and ask the user before continuing.

Backup-first rule for metadata files: Before overwriting any existing metadata file (e.g. metadata/version/1.0/en-US.json, fastlane/metadata/android/en-US/title.txt), create a .bak copy in the same directory or confirm the file is in version control. Never delete metadata files without explicit user confirmation.

Subagent Architecture

This skill uses a Staged Pipeline + Review Loop architecture. Each phase maps to a subagent in agents/:

  1. agents/analyzer.md — Phase 1 analysis report
  2. agents/plan-writer.md — Phase 2 ASO plan
  3. agents/compliance-checker.md — Phase 3 prohibited-keyword + trademark check
  4. agents/executor.md — Phase 4 metadata changes
  5. agents/reviewer.md — Phases 5-6 review + best-practices verification

Main agent orchestrates phase transitions and the user approval gate after Phase 3.

Workflow Overview

The skill follows a 7-phase cycle. Never skip the policy compliance check or the planning approval gate — the user must approve a policy-compliant plan before execution begins.

Phase 1: Analyze → Phase 2: Plan → Phase 3: Policy Compliance Check
  → [User Approval Gate] → Phase 4: Execute → Phase 5: Review
  → Phase 6: Verify → Phase 7: Summarize

Before You Start

  1. Read references/aso_best_practices.md for the complete ASO knowledge base — especially the "Store Policy Compliance" section detailing prohibited keywords, trademark rules, and listing policy restrictions for both Apple and Google.
  2. Determine which store(s) the user wants to optimize for.
  3. Identify whether the user has existing metadata files, a live store listing, or is launching fresh.

Phase Execution

Run each phase in order. Detailed instructions, templates, and checklists live in the reference files. Read each one before executing the corresponding phase.

Phase 1: Analyze

Read references/phases-1-2.md (Phase 1 section). Gather codebase info, audit existing store metadata, identify competitors, baseline performance, and produce an Analysis Report.

Phase 2: Plan

Read references/phases-1-2.md (Phase 2 section). Build a prioritized plan covering objectives, target keywords (primary/secondary/long-tail), metadata optimization (title, subtitle, keywords, description, what's-new), visual assets, localization, ratings strategy, and timeline.

Phase 3: Policy Compliance Check

Read references/phase-3-compliance.md. Validate every proposed metadata field against:

  • Prohibited keyword lists (Apple + Google)
  • Trademark and competitor brand checks
  • Formatting rules (no emojis, no ALL CAPS, character limits)
  • Content accuracy

If any violation is found, revise the plan silently and re-run the compliance check. The user should only ever see a compliant plan.

User Approval Gate

After compliance passes, present the plan and compliance report to the user. Do not proceed to Phase 4 until the user explicitly approves the plan. Iterate as many times as needed; each revision must re-pass the compliance check.

Phase 4: Execute

Read references/phases-4-7.md (Phase 4 section). Implement approved changes systematically, in priority order. Before overwriting any existing metadata file, create a .bak backup or confirm version control coverage. Validate character limits after each edit.

Phase 5: Review

Read references/phases-4-7.md (Phase 5 section). Run the review checklist on every changed field. Re-scan for prohibited keywords and trademark leaks.

Phase 6: Verify Against Best Practices

Read references/phases-4-7.md (Phase 6 section) and cross-reference references/aso_best_practices.md. Final pass for policy compliance.

Phase 7: Summarize

Read references/phases-4-7.md (Phase 7 section). Produce the final summary report (Changes Made, Metadata Comparison, Compliance Status, Expected Outcomes, Next Steps, Files Modified).

Step Completion Reports

Emit exactly 5 reports per run — the denominator M is always 5: Phase 1, Phases 2-3, Phase 4, Phases 5-6, Phase 7. Each uses pass / × fail markers. Format and per-phase check lists are in references/edge-cases.md (Step Completion Reports section).

Expected Output

A complete run produces three artifacts: Analysis Report (Phase 1), ASO Plan + Compliance Report + updated metadata files (Phases 2-4), and Summary Report (Phase 7). Worked examples for each: see references/expected-output.md.

Example

Input: an iOS+Android productivity app with weak metadata.

Title (iOS): FocusFlow: Work Timer            (22/30, no primary keyword)
Keywords (iOS): timer,focus,work,productivity (34/100, 66 chars unused)
Short Desc (Android): A simple timer for focused work. (36/80, weak)

Output after Phase 4 (metadata/app-info/en-US.json):

json
{
  "name": "FocusFlow: Focus & Work Timer",
  "subtitle": "Deep Work Sessions & Tracking"
}

Output keywords field:

pomodoro,deep,work,concentration,study,block,distraction,habit,goal,flow,task

(97/100 chars, all prohibited terms cleared, no title/subtitle duplicates.) Full walkthrough in references/expected-output.md.

Acceptance Criteria

The skill run is successful when all metadata is within character limits, contains no prohibited keywords or trademarks, the user-approval gate was respected, and all required reports were produced. Full criteria list: references/edge-cases.md (Acceptance Criteria section).

Edge Cases

Common edge cases (no local metadata files, single-platform app, no competitor access, pre-launch app, non-English primary locale, user rejects plan, compliance violation in draft) are documented in references/edge-cases.md. Read that file when an edge case applies — do not improvise.

Platform-Specific Notes

Apple App Store, Google Play Store, and cross-store conventions (indexed fields, character limits, OCR-indexed screenshots, A/B testing surfaces) are documented in references/edge-cases.md (Platform-Specific Notes section).

Cross-Skill Integration

This skill complements seo-ai-optimizer. See references/edge-cases.md (Cross-Skill Integration section) for when to combine.

Safety and Caution

  • No destructive action without confirmation. Before any git pull --rebase, git stash, file deletion, or overwriting an existing metadata file, either run a dry-run preview, create a .bak backup, or ask the user. Failures and errors must surface to the user — do not silently retry.
  • Compliance gate is non-negotiable. Never present a non-compliant plan to the user; never execute without explicit approval.
  • Trademark caution: Competitor brand names from Phase 1 analysis must never appear in proposed metadata.

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 Aso Marketing AI skill do?

Optimize App Store and Google Play listings via a 7-phase, plan-approval-gated ASO workflow (keyword strategy, metadata, localization). Don't use for web SEO, paid UA campaigns, or pre-submission compliance audits.

Why use Aso Marketing on TypingMind?

Because you install it once and use it with any model. Aso Marketing 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 Aso Marketing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/luongnv89/skills/tree/main/skills/aso-marketing. 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 Aso Marketing?

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 Aso Marketing?

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

Is the Aso Marketing AI skill free?

Yes. It is published on GitHub by luongnv89 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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