ASD

Aso

Úsalo cuando el usuario quiera auditar u optimizar una ficha de App Store o Google Play, comparar su app con competidores o mejorar su visibilidad y conversión de descargas.

Estrellas
44.1k

en todo el repo

Actividad
45

0–100, la ruta de este skill

Actualizado
hace 3 meses

último commit aquí

Commits
0

últimos 90 días

Contexto
3.9k tok

115 tok en reposo

Paquete
7 archivos

58 KB

Instalar

Funciona con cualquier agente que lea SKILL.md

npx -y skills add coreyhaines31/marketingskills --skill aso --agent claude-code

Se instala solo en este repositorio.

Qué hace

  • Extrae los datos de una ficha de App Store o Google Play mediante WebFetch y captura de pantalla
  • Clasifica la app en un nivel de madurez de marca (Dominant, Established, Challenger)
  • Puntúa 6 dimensiones (título, descripción, visuales, reseñas, metadatos, conversión) con pesos definidos
  • Compara la ficha con 2-3 competidores si se proporcionan URLs
  • Genera un informe con puntuación, quick wins, hallazgos y plan de acción priorizado

Úsalo cuando

  • El usuario comparte una URL de App Store o Google Play
  • El usuario pide auditar u optimizar una ficha de app
  • El usuario quiere comparar su app contra competidores
  • El usuario pregunta sobre ranking, visibilidad o conversión de descargas en tiendas de apps

No lo uses cuando

    Qué lo activa

    Di cualquiera de estas frases y el agente debería cargar este skill.

    • Audita la ficha de mi app en App Store
    • Aquí está el link de Google Play, ¿cómo mejoro la conversión?
    • Compara mi app con estas dos apps competidoras
    • ¿Por qué nadie descarga mi app?

    SKILL.md

    En inglés

    ASO Audit

    Analyze App Store and Google Play listings against ASO best practices. Fetches live listing data, scores metadata, visuals, and ratings, then produces a prioritized action plan.

    When to Use

    • User shares an App Store or Google Play URL
    • User asks to audit or optimize an app listing
    • User wants to compare their app against competitors
    • User asks about app store ranking, visibility, or download conversion

    Before Auditing

    Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

    Phase 1 — Identify Store & Fetch

    Detect store type from URL

    Apple:  apps.apple.com/{country}/app/{name}/id{digits}
    Google: play.google.com/store/apps/details?id={package}
    

    If the user gives an app name instead of a URL, search the web for: site:apps.apple.com "{app name}" or site:play.google.com "{app name}"

    Fetch the listing

    Use WebFetch to retrieve the listing page. Extract every available field:

    Apple App Store fields:

    • App name (title) — 30 char limit
    • Subtitle — 30 char limit
    • Description (long) — not indexed for search, but matters for conversion
    • Promotional text — 170 chars, updatable without new release
    • Category (primary + secondary)
    • Screenshots (count, order, caption text)
    • Preview video (presence, duration)
    • Rating (average + count)
    • Recent reviews (visible ones)
    • Price / in-app purchases
    • Developer name
    • Last updated date
    • Version history notes
    • Age rating
    • Size
    • Languages / localizations listed
    • In-app events (if any visible)

    Google Play fields:

    • App name (title) — 30 char limit
    • Short description — 80 char limit
    • Full description — 4,000 char limit, IS indexed for search
    • Category + tags
    • Feature graphic (presence)
    • Screenshots (count, order)
    • Preview video (presence)
    • Rating (average + count)
    • Recent reviews (visible ones)
    • Price / in-app purchases
    • Developer name
    • Last updated date
    • What's new text
    • Downloads range
    • Content rating
    • Data safety section
    • Languages listed

    If WebFetch returns incomplete data (stores render client-side), note gaps and work with what's available. Ask the user to paste missing fields if critical.

    Visual asset assessment

    WebFetch cannot extract screenshot images or caption text. Take a screenshot of the listing page to get visual data:

    1. Navigate to the listing URL and capture a full-page screenshot
    2. Assess the screenshot for: icon quality, screenshot count, caption text, messaging quality, preview video presence, feature graphic (Google Play)
    3. If browser tools are unavailable, ask the user to share a screenshot of the listing page

    Promotional text (Apple): This 170-char field appears above the description but is often indistinguishable from it in scraped HTML. If you cannot confirm its presence, note this and recommend the user check App Store Connect.


    Phase 1.5 — Assess Brand Maturity

    Before scoring, classify the app into one of three tiers. This determines how you interpret "textbook ASO" deviations — a deliberate brand choice by a household name is not the same as a missed opportunity by an unknown app.

    Tier definitions

    Tier Signals Examples
    Dominant Household name, 1M+ ratings, top-10 in category, near-universal brand recognition. Users search by brand name, not generic keywords. Instagram, Uber, Spotify, WhatsApp, Netflix
    Established Well-known in their category, 100K+ ratings, strong organic installs, recognized brand but not universally known. Strava, Notion, Duolingo, Cash App, Calm
    Challenger Building awareness, <100K ratings, needs discovery through keywords and ASO tactics. Most apps fall here. Your app, most indie/startup apps

    How tier affects scoring

    Dominant apps get adjusted scoring in these areas:

    • Title: Brand-only or brand-first titles are valid (score 8+ if brand is the keyword). These apps don't need generic keyword discovery.
    • Description: Score purely on conversion quality, not keyword presence. If the app is a household name, a well-crafted brand description beats a keyword-stuffed one.
    • Visual Assets: Lifestyle/brand photography instead of UI demos is a legitimate conversion strategy. No video is acceptable if the product is hard to demo in 30s or brand awareness is near-universal.
    • What's New: Generic release notes at weekly+ cadence are acceptable (score 8+). At scale, detailed changelogs have minimal ROI and risk backlash.
    • In-app events: Missing events for utility apps with massive install bases (Uber, WhatsApp) is not a penalty. These apps don't need discovery help.
    • Localization: Score relative to actual market, not absolute count. A US-only fintech with 2 languages (English + Spanish) is appropriately localized.

    Established apps get partial adjustment:

    • Brand-first titles are fine but should still include 1-2 keywords
    • Strategic description choices get benefit of the doubt
    • Other dimensions scored normally

    Challenger apps are scored strictly against textbook ASO best practices — every character, screenshot, and keyword matters.

    Key principle: Before docking points, ask: "Is this a mistake or a deliberate choice by a team that has data I don't?" If the app has 1M+ ratings and a dedicated ASO team, assume their choices are data-informed unless clearly wrong.


    Phase 2 — Score Each Dimension

    Score each dimension 0-10 using the criteria in references/scoring-criteria.md. Apply the brand maturity tier adjustments from Phase 1.5.

    Reference files for platform specs and benchmarks:

    • references/apple-specs.md — Official Apple character limits, screenshot/video specs, CPP/PPO rules, rejection triggers
    • references/google-play-specs.md — Official Google Play limits, screenshot specs, Android Vitals thresholds, policies
    • references/benchmarks.md — Conversion data, rating impact, video lift, screenshot behavior, CPP/event benchmarks

    Dimensions and Weights

    # Dimension Weight What It Covers
    1 Title & Subtitle 20% Character usage, keyword presence, clarity, brand + keyword balance
    2 Description 15% First 3 lines, keyword density (Google), CTA, structure, promotional text
    3 Visual Assets 25% Screenshot count/quality/messaging, video, icon, feature graphic
    4 Ratings & Reviews 20% Average rating, volume, recency, developer responses
    5 Metadata & Freshness 10% Category choice, update recency, localization count, data safety
    6 Conversion Signals 10% Price positioning, IAP transparency, social proof, download range

    Final score = weighted sum, out of 100.

    Score interpretation

    Score Grade Meaning
    85-100 A Well-optimized; focus on A/B testing and iteration
    70-84 B Good foundation; clear opportunities to improve
    50-69 C Significant gaps; prioritized fixes will have high impact
    30-49 D Major optimization needed across multiple dimensions
    0-29 F Listing needs a complete overhaul

    Phase 3 — Competitor Comparison (Optional)

    If the user provides competitor URLs or asks for comparison:

    1. Fetch 2-3 top competitors in the same category
    2. Run the same scoring on each
    3. Build a comparison table highlighting where the user's app is weaker/stronger
    4. Identify keyword gaps — terms competitors rank for that the user's app doesn't target

    If no competitors are specified, suggest the user provide 2-3 or offer to search for top apps in their category.


    Phase 4 — Generate Report

    Use the template in references/report-template.md to structure the output.

    The report must include:

    1. Score card — table with all 6 dimensions, scores, and grade
    2. Top 3 quick wins — changes that take <1 hour and have highest impact
    3. Detailed findings — per-dimension breakdown with specific issues and fixes
    4. Keyword suggestions — based on title/description analysis and competitor gaps
    5. Visual asset recommendations — specific screenshot/video improvements
    6. Priority action plan — ordered list of changes by impact vs effort

    Report rules

    • Every recommendation must be specific and actionable ("Change subtitle from X to Y" not "Improve subtitle")
    • Include character counts for all text recommendations
    • Flag platform-specific differences (Apple vs Google) when relevant
    • Note what CANNOT be assessed without paid tools (search volume, exact rankings)
    • When suggesting keyword changes, explain WHY each keyword matters

    Platform-Specific Rules

    Apple App Store — Key Facts

    • Title (30 chars) + Subtitle (30 chars) + Keyword field (100 bytes, hidden) = indexed text
    • Keywords field is bytes not chars — Arabic/CJK use 2-3 bytes per char
    • Long description is NOT indexed for search — optimize for conversion only
    • Promotional text (170 chars) does NOT affect search (Apple confirmed)
    • Never repeat words across title/subtitle/keyword field (Apple indexes each word once)
    • Keyword field: commas, no spaces ("photo,editor,filter" not "photo, editor, filter")
    • Screenshots: up to 10 per device. First 3 visible in search — 90% never scroll past 3rd
    • Screenshot captions indexed since June 2025 (AI extraction)
    • In-app events: max 10 published at once, max 31 days each. Indexed and appear in search
    • Custom Product Pages (up to 70) in organic search since July 2025. +5.9% avg conversion lift
    • App preview video: up to 3, 15-30s each. Autoplays muted — +20-40% conversion lift
    • SKStoreReviewController: max 3 prompts per 365 days
    • Apple has human editorial curation — quality and design matter more
    • See references/apple-specs.md for full specs, dimensions, and rejection triggers

    Google Play — Key Facts

    • Title (30 chars) + Short description (80 chars) + Full description (4,000 chars) = indexed text
    • Full description IS indexed — target 2-3% keyword density naturally
    • No hidden keyword field — all keywords must be in visible text
    • Google NLP/semantic understanding — keyword stuffing detected and penalized
    • Prohibited in title: emojis, ALL CAPS, "best"/"#1"/"free", CTAs (enforced since 2021)
    • Screenshots: min 2, max 8 per device (not 10 like Apple)
    • Feature graphic (1024x500, exact) required for featured placements
    • Video does NOT autoplay — only ~6% of users tap play (low ROI vs iOS)
    • Android Vitals directly affect ranking: crash >1.09% or ANR >0.47% = reduced visibility
    • Promotional Content: submit 14 days early for featuring. Apps see 2x explore acquisitions
    • Custom Store Listings: up to 50 (can target churned users, specific countries, ad campaigns)
    • Store Listing Experiments: test up to 3 variants, run 7+ days, 1 experiment at a time
    • See references/google-play-specs.md for full specs and policy details

    What Apple Indexes vs What Google Indexes

    Field Apple Indexed? Google Indexed?
    Title Yes Yes (strongest signal)
    Subtitle / Short desc Yes Yes
    Keyword field Yes (hidden) Does not exist
    Long description No Yes (heavily)
    Screenshot captions Yes (since 2025) No
    In-app events Yes N/A (LiveOps instead)
    Developer name No Partial
    IAP names Yes Yes

    Common Issues Checklist

    Flag these if found. Items marked (tier-dependent) should be evaluated against the app's brand maturity tier — they may be deliberate choices for Dominant apps.

    Always flag (all tiers):

    • Rating below 4.0
    • Last update > 3 months ago
    • Google Play description has no keyword strategy (under 1% density)
    • Google Play missing feature graphic
    • Apple keyword field likely has repeated words (inferred from title+subtitle)
    • Category mismatch — app would face less competition in a different category
    • Fewer than 5 screenshots

    Flag for Challenger/Established only (not mistakes for Dominant apps):

    • Title wastes characters on brand name only (no keywords) (Dominant: brand IS the keyword)
    • Subtitle/short description duplicates title keywords
    • Description first 3 lines are generic (Dominant: may be brand-voice choice)
    • No preview video (Dominant: may be rational if product is hard to demo)
    • Screenshots are just UI dumps with no messaging/captions (Dominant: lifestyle/brand shots may convert better)
    • Only 1-2 localizations (score relative to actual market, not absolute count)
    • No in-app events or promotional content (Dominant utility apps may not need discovery help)

    Flag for all tiers but note context:

    • No developer responses to negative reviews (note volume — responding at 10M+ reviews is a different challenge than at 1K)
    • Generic "What's New" text (acceptable at weekly+ release cadence for Established/Dominant)

    Task-Specific Questions

    1. What is the App Store or Google Play URL?
    2. Is this your app or a competitor's?
    3. What category does the app compete in?
    4. Do you have competitor URLs to compare against?
    5. Are you focused on search visibility, conversion rate, or both?
    6. Do you have access to App Store Connect or Google Play Console data?

    Related Skills

    • cro: For optimizing the conversion of web-based landing pages that drive app installs
    • ad-creative: For creating App Store and Google Play ad creatives
    • analytics: For setting up install attribution and in-app event tracking
    • customer-research: For understanding user needs and language to inform listing copy

    Reproducido de coreyhaines31/marketingskills bajo licencia MIT. Leer esta página en markdown.

    Archivos

    7 archivos en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.

    Antes de instalar

    Conviene tener acceso a App Store Connect o Google Play Console, y opcionalmente el archivo .agents/product-marketing.md con contexto previo.

    Detalles

    Categoría
    Marketing
    Licencia
    MIT
    Recursos incluidos
    referencias
    Código fuente
    Ver SKILL.md

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