Loops Email Sending Best Practices

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

作者 loops-soa0a2024e81b3d94fa0f73b2ea75f59caa441d552無授權條款收錄於 2026年10月9日更新於 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 產生的概覽

審查與規劃電子郵件寄送最佳實務:送達率、同意、內容與專案策略。

功能
此技能引導代理檢視、稽核、改善或規劃電子郵件專案。它會將任務導向五個參考領域:送達率、受眾與同意、內容與設計、郵件類型與專案策略,以及 Loops 特有的營運注意事項。它會產出可能根因或機會的診斷、具體修改建議、相關注意事項,以及應留意的指標,並區分立即修正與中期改善。
適用情境
當任務涉及郵件品質、風險或策略,而非底層 API 實作時使用。典型情境包括診斷收件匣到達率或寄件者信譽、檢視同意流程與名單衛生、改善主旨與預覽文字,以及在行銷活動、生命週期與交易型郵件之間做選擇。它不適用於純整合工作,例如透過 Loops API 寄送事件。
執行需求
不需要指令碼或特殊工具;它由指示與五個可供模型讀取的參考檔案組成。它適用於任何郵件技術堆疊,但涉及 Loops 時,以 Loops 的行為與文件為準。

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

來源與署名

來源:loops-so/skills位於skills/loops-email-sending-best-practices提交a0a2024

授權條款: 無授權條款

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