O que asolytics-otimizacao-app-store-api faz?
Acesse dados de ranking, métricas de palavras-chave e inteligência competitiva da App Store e Google Play usando a API Asolytics.
Acesse dados de ranking, métricas de palavras-chave e inteligência competitiva da App Store e Google Play usando a API Asolytics.
Esta skill fornece acesso programático à API Asolytics para otimização de lojas de aplicativos (ASO). Ela permite que agentes de IA e desenvolvedores consultem rankings de aplicativos, métricas de palavras-chave e dados de inteligência competitiva tanto para a App Store (iOS) quanto para o Google Play (Android). A skill é útil para automatizar pesquisas de mercado, monitorar concorrentes e melhorar a visibilidade de aplicativos. Suporta as plataformas App Store e Google Play, e funciona obtendo dados da API Asolytics mediante uma chave de API válida, retornando informações como posições em rankings, volume de buscas e palavras-chave relacionadas.
npx skills add lightsome-singlefile644/asolytics-app-store-optimization-apiInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Acesse dados de ranking, métricas de palavras-chave e inteligência competitiva da App Store e Google Play usando a API Asolytics.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.