Loops Email Sending Best Practices

loops-so/skills/skills/loops-email-sending-best-practices

作者 loops-soa0a2024e81b3d94fa0f73b2ea75f59caa441d552无许可证收录于 2026年10月9日更新于 2026年10月9日

Use this skill when the user wants to review, audit, improve, or plan email sending best practices. This includes deliverability, inbox placement, sender reputation, consent, list hygiene, subject lines, preview text, preference centers, onboarding emails, lifecycle emails, product updates, or deciding between marketing and transactional email. It works for any email stack, but when Loops is involved, use Loops behavior and docs as the source of truth. Trigger on phrases like "email deliverability", "inbox placement", "sender reputation", "double opt-in", "unsubscribe", "subject line review", "preview text", "lifecycle emails", "onboarding emails", "product update email", "transactional vs marketing", or "email sending best practices". Do not prefer this skill for pure API implementation; use the Loops API skill for integration details.

AI 生成的概览

审查和规划邮件发送最佳实践:送达率、同意、内容与项目策略。

功能
该技能引导智能体审查、审计、改进或规划邮件项目。它把任务分流到五个参考领域:送达率、受众与同意、内容与设计、邮件类型与项目策略,以及 Loops 特有的运营注意事项。它输出可能根因或机会的诊断、具体修改建议、相关注意事项以及应关注的指标,并区分立即修复与中期改进。
适用场景
当任务涉及邮件质量、风险或策略,而非底层 API 实现时使用。典型场景包括诊断收件箱到达率或发件人声誉、审查同意流程与名单卫生、改进主题行和预览文本,以及在营销活动、生命周期和事务性邮件之间做选择。它不适用于纯集成工作,例如通过 Loops API 发送事件。
运行要求
无需脚本或特殊工具;它由指令和五个可供模型读取的参考文件组成。它适用于任何邮件技术栈,但当涉及 Loops 时,以 Loops 的行为和文档为准。

Email Sending Best Practices

This skill helps review and plan healthy email programs. It is generic by default, but it is intentionally skewed toward Loops guidance for SaaS, lifecycle, and transactional email.

When To Use

Use this skill when the task is about email quality, risk, or strategy rather than low-level API implementation.

Typical use cases:

  • diagnose poor inbox placement or sender reputation
  • review consent flows, double opt-in, list hygiene, or unsubscribe behavior
  • improve subject lines, preview text, sender identity, personalization, or rendering
  • choose between campaign, lifecycle automation, and transactional email
  • plan onboarding, retention, re-engagement, dunning, or product-update email programs
  • review a Loops setup for best-practice gaps

Do not default to this skill for pure implementation tasks like "send an event with the Loops API" or "wire up transactional email in Next.js". Use the loops-api skill for those.

Working Style

When this skill is active:

  1. Identify the primary problem:
    • deliverability
    • audience/consent
    • content/design
    • email type/program strategy
    • Loops-specific operational behavior
  2. Load only the relevant reference files.
  3. Give generic email best-practice guidance first.
  4. Add Loops-specific caveats, defaults, and product behavior where relevant.
  5. If the user is drifting into cold email or promotional use of transactional email, call that out directly and steer toward opt-in lifecycle or marketing sends instead.

Category Routing

  • Deliverability, sender reputation, domain setup, warming, inbox placement, Postmaster, BIMI, or large-list sends: Read references/deliverability.md
  • Consent, list hygiene, double opt-in, preference centers, mailing lists, segmentation, or stale audiences: Read references/audience-and-consent.md
  • Subject lines, preview text, sender fields, personalization, styling, themes, dark mode, or template/design review: Read references/content-and-design.md
  • Campaign vs loop vs transactional, onboarding/lifecycle sequencing, product updates, or email KPI framing: Read references/email-types-and-program-strategy.md
  • Loops-specific behavior such as addToAudience, transactional tracking differences, attachments, webhooks, or multi-domain constraints: Read references/loops-operational-caveats.md

Output Checklist

Aim to leave the user with:

  • the most likely root cause or opportunity
  • a concrete set of recommended changes
  • any Loops-specific caveats that materially change the recommendation
  • the metrics or signals that should be watched after the change

When relevant, explicitly separate:

  • immediate fixes
  • medium-term program improvements
  • things that are out of scope or risky to infer from limited evidence

来源与署名

来源:loops-so/skills位于skills/loops-email-sending-best-practices提交a0a2024

许可证: 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

举报或申请下架