Monitora preços de produtos de e-commerce usando Cheerio.js para análise de DOM no servidor com got-scraping para requisições HTTP furtivas. Rastreia o histórico de preços em SQLite e dispara alertas via nodemailer quando os preços caem abaixo dos limites.
O Rastreador de Preços de Produtos com Cheerio é uma skill para agentes de IA que automatiza o monitoramento de preços em sites de e-commerce. Utiliza a biblioteca Cheerio.js para analisar o DOM de páginas web no lado do servidor, combinada com got-scraping para realizar requisições HTTP com técnicas de evasão de bloqueios, como rotação de user-agents e proxies. Os preços coletados são armazenados em um banco de dados SQLite, permitindo o rastreamento do histórico de variações. Quando um preço atinge um valor inferior a um limiar pré-definido, a skill aciona alertas por e-mail através do nodemailer, possibilitando que o agente ou o usuário sejam notificados imediatamente. Esta skill é útil para desenvolvedores que desejam integrar funcionalidades de scraping e monitoramento de preços em agentes de IA, suportando plataformas como Claude Code e Cursor devido à sua natureza modular e baseada em Node.js. O código-fonte está disponível no GitHub e a skill pode ser adquirida no Agent Skill Exchange, mas requer configuração manual das URLs, seletores CSS e limiares de preço antes do uso.
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/cheerio-product-price-trackerMonitora preços de produtos de e-commerce usando Cheerio.js para análise de DOM no servidor com got-scraping para requisições HTTP furtivas. Rastreia o histórico de preços em SQLite e dispara alertas via nodemailer quando os preços caem abaixo dos limites.
Não foi possível extrair instruções de instalação ou uso automatizadas. Revise o projeto upstream antes de executar esta skill em um fluxo de trabalho sensível.
This repo contains 20 individual skills — each has its own dedicated page.
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Calls Adobe Firefly
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Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
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