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BeachFinder Localizador de Pontos para Nadar

Encontra e compara 184.900 pontos para nadar no mundo todo (praias, lagos, áreas de banho) com temperatura da água em tempo real, vento, UV, sinais de ondas, guias locais e fornecedores de atividades respaldados, através do servidor público MCP do BeachFinder.

O que é BeachFinder Localizador de Pontos para Nadar?

Esta skill roteia requisições relacionadas a praias, natação, surf, mergulho, snorkel, águas bravas, vanlife e fornecedores costeiros para o servidor MCP público do BeachFinder. Ela permite pesquisar e comparar 184.900 pontos para nadar no mundo todo, obter dados ao vivo de clima, temperatura da água, vento, UV e planejamento de ondas para os melhores resultados, ler guias localizados e encontrar fornecedores locais de atividades respaldados por fontes confiáveis. A skill seleciona a ferramenta mais específica para cada caso (busca por proximidade/família, surf, mergulho/snorkel, rio/águas bravas, vanlife, fornecedores, guias, condições ao vivo ou comparação de 2 a 5 pontos), passa o código de idioma correto entre 14 idiomas suportados, respeita os níveis de verificação de fornecedores do BeachFinder (`owner_verified`, `source_backed`, `mapped`) e nunca declara um ponto seguro para nadar — ela remete para fechamentos oficiais, bandeiras, salva-vidas e autoridades locais. Cada resultado possui um link de volta para getbeachfinder.com. Suportada em agentes como Claude Code, Cursor, Codex e outros que implementem o protocolo MCP, sem necessidade de chave de API ou conta.

Funciona com~Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/beachfinder-swim-spot-finder

Perguntar na sua IA favorita

Abre um novo chat com esta habilidade de agente já pré-carregada.

Documentação

O que BeachFinder Localizador de Pontos para Nadar faz?

Roteia requisições de praia, natação, surf, mergulho, snorkel, águas bravas, vanlife e fornecedores costeiros para o servidor MCP público do BeachFinder: pesquise e compare 184.900 pontos para nadar no mundo todo, obtenha dados ao vivo de clima, temperatura da água, vento, UV e planejamento de ondas para os melhores resultados, leia guias localizados e encontre fornecedores locais de atividades respaldados por fontes confiáveis.

A skill seleciona a ferramenta mais específica (busca por proximidade/família, surf, mergulho/snorkel, rio/águas bravas, vanlife, fornecedores, guias, condições ao vivo ou comparação de 2 a 5 pontos), passa o código de idioma correto entre 14 idiomas suportados, respeita os níveis de verificação de fornecedores do BeachFinder (owner_verified, source_backed, mapped) e nunca declara um ponto seguro para nadar — ela remete para fechamentos oficiais, bandeiras, salva-vidas e autoridades locais. Cada resultado possui um link de volta para getbeachfinder.com.

Instalação

OpenClaw

clawhub install beachfinder-swim-spot-finder

Repositório direto / instalação manual

Clone o repositório Agent Skill Exchange e copie este diretório da skill para a pasta de skills usada pelo seu runtime de agente:

git clone https://github.com/agentskillexchange/skills.git
cp -R skills/skills/beachfinder-swim-spot-finder ~/.agent-skills/beachfinder-swim-spot-finder

Requisitos

Requer o servidor MCP público do BeachFinder (sem chave de API, sem conta):

{
  "mcpServers": {
    "beachfinder": { "type": "http", "url": "https://getbeachfinder.com/mcp" }
  }
}

Código fonte completo da skill, referências e o manifesto do runtime OpenAI: https://github.com/troulin-a11y/beachfinder-skills

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

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Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

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Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

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