appllama-usage
Research Winning Mobile App Patterns
Mobile teams often design from isolated inspiration and miss the patterns that shape successful app journeys. This skill guides structured research of top-grossing apps, screens, flows, and UI elements before implementation.
Installer avec mon Agent
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
Review the Skillstore skill "appllama-usage" from https://skillstore.io/skills/appllama-appllama-usage.md and its manifest at https://skillstore.io/api/skills/appllama-appllama-usage/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.
Ressources lisibles par les agents
Utilisez ces liens lorsquâun Agent IA, un crawler ou un script a besoin dâun contexte propre au lieu de lire toute la page.
Tester
Utilisation de « appllama-usage ». Research habit tracker apps with strong onboarding and subscription flows.
Résultat attendu:
- Shortlist five apps using revenue, rating, downloads, and product fit.
- Compare onboarding length, personalization questions, paywall placement, and primary navigation.
- Recommend a focused reference set and a research-backed flow outline.
Utilisation de « appllama-usage ». Improve a workout summary screen that feels visually flat.
Résultat attendu:
Diagnose the hierarchy, search for keyword and semantic references, then define a stronger layout, control treatment, palette roles, and motion plan.
Utilisation de « appllama-usage ». Design a new mobile app from research.
Résultat attendu:
- A journey-ordered screen list with presentation types and back behavior.
- A pattern synthesis separating table stakes, useful differentiators, and opportunities.
- A simulator checklist covering normal, skipped, offline, interrupted, and invalid-input paths.
Audit de sécurité
SûrAll 21 static findings are false positives based on the cited skill context. The MCP URL is an explicit tool dependency, simulator references describe app testing, and the detected backticks are Markdown formatting rather than shell execution.
Facteurs de risque
đ AccĂšs rĂ©seau (1)
Partager et citer ce rapport
Partagez le rapport dâĂ©valuation versionnĂ©, le badge neutre, la carte intĂ©grable et les citations. Skillstore prĂ©sente les preuves sans dĂ©cider si ce Skill est sĂ»r.
Copier le lien du rapport
https://skillstore.io/skills/appllama-appllama-usage/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportBadge Markdown
[](https://skillstore.io/skills/appllama-appllama-usage?utm_source=security_passport_badge)Badge HTML
<a href="https://skillstore.io/skills/appllama-appllama-usage?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/appllama-appllama-usage/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Carte intégrable
<iframe src="https://skillstore.io/embed/skills/appllama-appllama-usage.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Citations académiques (APA · BibTeX · CFF)
Citation APA
appllama. (2026). appllama-usage security audit report (audit version 1) [Author version 1.1.0]. Skillstore. https://skillstore.io/skills/appllama-appllama-usage/audits/1Citation BibTeX
@techreport{appllama-appllama-appllama-usage-2026,
author = {appllama},
title = {appllama-usage security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/appllama-appllama-usage/audits/1},
note = {Author version 1.1.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "appllama-usage security audit report (audit version 1)"
version: "1.1.0"
type: report
authors:
- name: "appllama"
date-released: "2026-09-08"
url: "https://skillstore.io/skills/appllama-appllama-usage/audits/1"
identifiers:
- type: other
value: "skillstore:appllama-appllama-usage:audit:1"
description: "Skillstore immutable audit report identifier"
Score Skillstore
Pourquoi ce score Niveau de confiance des preuves: MoyenCe que vous pouvez créer
Plan a New Mobile Product
Study comparable apps, map their journeys, and turn observed patterns into a focused screen and navigation specification.
Improve an Existing Screen
Diagnose hierarchy, motion, and control issues, then compare the screen with targeted references from successful apps.
Research a Conversion Flow
Compare onboarding, paywall, welcome, or category-specific flows across apps and identify common patterns worth testing.
Essayez ces prompts
Research top-grossing apps for my mobile app category. Identify five relevant apps and summarize their main flows and screen counts.
Compare the onboarding flows of three strong apps in my category. For each step, record the user goal, information requested, and value provided.
Create a research plan for my target screen using keyword and semantic searches. Select the strongest references and explain the layout, controls, hierarchy, and motion patterns to extract.
Research the leading apps for my product concept, synthesize a screen-by-screen specification, define navigation and one-way doors, and produce a simulator verification checklist for happy, skeptical, and failure paths.
Bonnes pratiques
- Start with a named research question and use several apps before forming a pattern.
- Study complete journeys in order, including images, states, transitions, and back behavior.
- Refresh expired media links and separate durable notes from temporary URLs.
Ăviter
- Do not treat one successful app as proof that a pattern fits every category.
- Do not sweep the catalog to extract its dataset instead of answering a real product question.
- Do not stop at visual references without specifying states, navigation, and verification paths.
Foire aux questions
What is this skill for?
Does it build the mobile app?
Which tools does it support?
How does it handle expired media?
Can it research paywalls and onboarding?
What should teams avoid?
Détails du développeur
Auteur
appllamaLicence
MIT
Version de lâauteur
v1.1.0
Révision Skillstore
r1
Réf
d9e5ab86dafd32a1ddde9b8b4fde177589b55b95
Récence de maintenance
08/09/2026
Utilisation
1 téléchargements · 0 vues
Structure de fichiers
đ agents/
đ openai.yaml
đ references/
đ improve-a-screen.md
đ research-methods.md
đ SKILL.md