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内容创作 #marketing #email #ai

extension-email

Support for sending service/transactional emails. Don't use this for sending marketing emails or verification emails.

DeepseekModel 官方收录技能 质量 良好 · 48 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=caffeinelabs-skills-skills-extension-email-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name extension-email description Support for sending service/transactional emails. Don't use this for sending marketing emails or verification emails. version 0.2.0 compatibility {"mops":{"caffeineai-email":"~0.2.0"}} caffeineai-subscription ["plus","pro"] Email — Service/Transactional Service/transactional email extension for Caffeine AI . Overview This skill adds support for sending service and transactional emails from the backend canister. Use sendServiceEmail for order confirmations, notifications, and similar one-off emails. Backend This component is for sending service/transactional emails. There is the prefabricated module mo:caffeineai-email/emailClient.mo which cannot be modified. Use the sendServiceEmail function. Each recipient is sent an individual email It returns a SendResult which is #ok if the email is sent successfully otherwise #err(error) with the error text. module { public type SendResult = { #ok; #err : Text; }; public func sendServiceEmail( fromUsername : Text, recipients : [Text], subject : Text, htmlBody : Text, ) : async SendResult; }; Usage for sendServiceEmail : import Runtime "mo:core/Runtime"; import EmailClient "mo:caffeineai-email/emailClient"; actor { public func sendOrderConfirmationEmail(recipientEmailAddress : Text, username : Text, orderReference : Text) : async () { let result = await EmailClient.sendServiceEmail( "no-reply", [recipientEmailAddress], "Order " # orderReference # " confirmed", "Hello " # username # ",\nYour order " # orderReference # " has been confirmed. Your items will ship tomorrow.", ); switch (result) { case (#ok) {}; case (#err(error)) { Runtime.trap("Failed to send order confirmation email: " # error); }; }; }; };
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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