agentsclimarketplace

Store listing optimization

Skill SylphxAI/skills/skills/store-listing-optimization

Design or audit one channel listing and creative-conversion artifact for App Store, Google Play, Steam, console/PC stores, Microsoft Store, browser extensions, or direct download: positioning, title/subtitle/description, screenshots, capsule/icon/key art, trailer, proof, pricing/disclosures, privacy/compatibility claims, localization, accessibility, experiments, review/reputation context, and exact asset QA. Use for listing conversion; use Distribution Readiness for submission/certification and Marketing Automation for the full channel portfolio.From its SKILL.md

Install
npx -y skills add SylphxAI/skills --skill store-listing-optimization

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 21 days oldThe repository was created 21 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

7.8 KB, ~1.5k tokens by cl100k_base, as published. Nobody here has run it

Store Listing Optimization

Produce a Channel Listing and Creative Sequence that communicates truthful value before install, wishlist, trial, or purchase and can be generated, localized, tested, and updated across exact channel variants.

Atomic boundary

Own one channel listing's positioning-to-asset narrative, metadata, creative sequence, proof/disclosures, localization, accessibility, asset QA, experiment, and conversion/trust measurement. Do not own store submission/certification, whole-product positioning, public review solicitation, paid acquisition, or the multi-channel creative/spend control plane.

For every artifact, record artifactVersion, artifactRevision, and artifactState; never put artifactDigest on the top-level artifact. Use the shared artifact envelope for structured drafts and sealed artifacts. Consume product thesis, canonical product/build truth, a planning Product Program Manifest revision when present, and only the Marketing, pricing/payment, review/reputation, analytics, Product Asset, or distribution facts applicable to that exact revision. The initial request revision must not consume its future Product Asset pack; a later final listing revision may. A sealed input additionally requires artifactDigest and digestRule: sha256-exact-bytes; every typed input requires fulfillsHandoffId, while a draft contains no digest fields.

Agent-first invariant

Build the complete listing narrative, selection/order, metadata, channel templates, asset requests, experiment variants, validation, versioning, rollback, and readback now. Marketing owns campaign briefs/concepts; product-asset-production owns deterministic capture, localized/accessibility variants, exact rendered files, rights/provenance, and file QA. This skill emits an asset request in an earlier revision and consumes the returned pack only in a later exact revision; it must not create a second production source of truth. Construction is separate from publication. A dormant channel generates no public page and claims no compatibility until authority and the exact pack pass.

Workflow

  1. Define exact product/build/content identity, channel/territories/locales, primary audience and job, positioning promise, conversion event, price/model, device/input/age modes, current listing evidence, and non-goals.
  2. Read references/store-listing-optimization-patterns.md. Retrieve the channel's current metadata, asset, content-rating, pricing/disclosure, experiment, and localization contract.
  3. Map audience objections and proof to a narrative sequence: distinctive outcome/mechanism, first-value/core interaction, depth/progression or workflow, social/collaboration where real, content/utility, trust/quality, business model/compatibility, and call to action.
  4. Specify title/subtitle/short/long text, keywords/tags/categories, icon/key/ capsule art, selection/order and stable production requests for screenshots by device/input, video/trailer, captions/transcript, alt text, pricing/IAP/subscription/ad disclosures, privacy/compatibility, and support links. Every claim maps to exact shipped behavior.
  5. Build localization briefs per locale: intent, search language, cultural meaning, reading direction, typography, image/text constraints, age modes, price/unit/date, and native QA. Do not reuse one translated screenshot set.
  6. When exact media is selected, consume the Product Asset Production Pack in a new listing revision; validate dimensions, safe zones, compression/color/ audio, device chrome, legibility, motion/captions, no unreleased UI, rights, claim evidence, channel rules, and exact package digests.
  7. Define randomized/native experiment where supported, immutable variant and traffic identity, exposure/contamination, install/wishlist/purchase plus retention/refund/review/support countermetrics, confidence, and stop rules.
  8. When publication is selected, hand the exact final listing revision and accepted asset pack when applicable to software-distribution-readiness; verify submitted/live metadata and assets, then archive/supersede the prior version.

Source verification

Retrieve current channel metadata/asset/experiment, ratings/reviews, price/IAP/ subscription/ad disclosures, privacy/data-safety, age/content rating, compatibility, accessibility, localization, IP/rights, and regional rules. Unknown/stale channel authority blocks submission of that adapter.

When not to use

  • Use software-distribution-readiness for eligibility, signing, submission, reviewer/certification, staged rollout, withdrawal, and live channel evidence.
  • Use marketing-automation-blueprint for the whole SEO/creator/community/ lifecycle/paid creative portfolio, spend, attribution, and shutdown.
  • Use product-asset-production to create deterministic captures, rendered screenshots/art/video, localized/accessibility variants, and the exact media pack requested by this listing.
  • Use market-research-synthesis when product positioning and audience demand are not yet evidence-bounded across the market.
  • Use review-solicitation-policy for public rating/review request eligibility and product-feedback-learning-loop for private feedback, authorized review ingestion/responses, support routing, and product close-loop.

Guardrails

  • Never show unreleased/nonexistent UI, fake rankings/reviews/awards, hidden prices/renewal/ads, misleading gameplay, unsupported devices, or privacy/ accessibility claims without exact evidence.
  • Search optimization cannot reduce human clarity or stuff irrelevant terms, competitor marks, or deceptive claims.
  • Do not sentiment-gate, incentivize, fabricate, filter, or steer ratings; review context is observed evidence, not listing manipulation authority.
  • Separate creative conversion from product quality. A higher install rate with worse activation, retention, refunds, support, or trust is not a win.
  • Autonomous generators cannot publish, change price/claims/rights, or promote a variant without exact validation and authority.
  • Do not capture, render, localize, or hand-edit product media; request a new canonical product-asset-production pack revision.

Output contract

Return one typed Channel Listing and Creative Sequence with:

  1. draft identity or sealed envelope, exact product/channel identities, audience/job, positioning, conversion, evidence labels, assumptions, and non-goals;
  2. objection/proof/narrative sequence and metadata field contract;
  3. icon/key/capsule, screenshot/device/input, trailer/video, caption/transcript/ alt-text, disclosure, compatibility, support selection/order, and stable Product Asset Production request plus accepted pack references;
  4. per-locale search/meaning/culture/RTL/typography/image/price/date/age brief;
  5. channel-authority, rights, claim, dimensions/safe-zone, media, accessibility, and exact-package QA evidence;
  6. experiment variants, assignment, metrics/countermetrics, confidence, stop, rollback, and live readback;
  7. digest-pinned distribution/marketing/review/analytics handoffs.

Complete only when every live claim/asset is exact-build truthful, localized and accessible, the package is reproducible by digest, and conversion gains survive downstream quality/trust countermetrics.

Keep looking

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