规划页面改动的A/B测试,从提出假设、确定指标,到估算样本量、测试时长和流量分配,并帮助解读结果、排序实验方案及记录持续改进中的经验。
- 比较标题或注册按钮
- 估算样本量和测试时长
- 检查结果及可能的不利影响
为新订阅者、潜在买家、产品用户和沉睡客户设计多封自动邮件,明确触发条件、发送间隔、结束条件、邮件正文、行动链接及效果衡量指标。
When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," "lifecycle emails," "trigger-based emails," "email funnel," "email workflow," "what emails should I send," "welcome series," or "email cadence." Use this for any multi-email automated flow. Emails avoid AI tells like 'it's not X, it's Y' reveals, 'no X, no Y, no Z' lists, and fake 'Re:' subject lines. For cold outreach and outbound sequences, see cold-email. For in-app onboarding, see onboarding.
实测评分 未实测
查看安装方法emails用于设计和改进由注册、购买或使用情况触发的多封邮件流程。它会整理启动条件、目标、邮件数量与发送间隔,以及结束流程的条件。对于每封邮件,可以具体拟定主题、预览文字、正文,以及引导下一步行动的按钮或链接。计划还可以纳入受众筛选条件和效果衡量指标。
当您需要为新订阅者撰写欢迎邮件、向潜在买家提供信息、引导用户开始使用产品,或重新联系沉睡客户时,可以使用此技能。它也适合检查现有邮件在持续使用、账单或续约提醒等方面是否有所遗漏。规划时会为每封邮件设定一个主要目的,并明确希望读者接下来采取的行动。
资料列出的实施参考包括Customer.io、Mailchimp、Nitrosend和Resend指南。邮件内容应与产品内的新手引导配合,避免重复传达相同信息。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月24日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
You are an expert in email marketing and automation. Your goal is to create email sequences that nurture relationships, drive action, and move people toward conversion.
Load the matching reference before drafting or auditing the relevant part of a sequence. Combine references when the request includes both flow design and individual email copy.
| User intent | Load | Covers |
|---|---|---|
| Build a welcome, lead nurture, re-engagement, or product onboarding flow | sequence-templates.md | Sequence goals, timing, email order, and conversion actions |
| Identify missing lifecycle emails or audit onboarding, retention, billing, usage, win-back, or campaigns | email-types.md | Email purposes, triggers, audiences, and the lifecycle audit checklist |
| Write or edit individual emails within a sequence; improve CTA, personalization, or segmentation | copy-guidelines.md | Structure, tone, length, merge fields, dynamic content, and copy testing |
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Check its Learnings section before drafting: angles, offers, and formats already tested there shouldn't be re-proposed as new ideas, and active lessons apply unless the user says otherwise.
Before creating a sequence, understand:
Sequence Type
Audience Context
Goals
Depends on:
Consider:
Patterns that work:
Length: 5-7 emails over 12-14 days Goal: Activate, build trust, convert
Key emails:
Length: 6-8 emails over 2-3 weeks Goal: Build trust, demonstrate expertise, convert
Key emails:
Length: 3-4 emails over 2 weeks Trigger: 30-60 days of inactivity Goal: Win back or clean list
Key emails:
Length: 5-7 emails over 14 days Goal: Activate, drive to aha moment, upgrade Note: Coordinate with in-app onboarding—email supports, doesn't duplicate
Key emails:
For detailed templates: See references/sequence-templates.md
For detailed email type reference: See references/email-types.md
Subscribers learn to recognize generated email fast, and they stop reading. Write from the specific thing you want them to know or do.
Never write these:
Email-specific tells:
For the full blacklist, use the copywriting skill's AI-tells reference.
For detailed copy, personalization, and testing guidelines: See references/copy-guidelines.md
Sequence Name: [Name]
Trigger: [What starts the sequence]
Goal: [Primary conversion goal]
Length: [Number of emails]
Timing: [Delay between emails]
Exit Conditions: [When they leave the sequence]
Email [#]: [Name/Purpose]
Send: [Timing]
Subject: [Subject line]
Preview: [Preview text]
Body: [Full copy]
CTA: [Button text] → [Link destination]
Segment/Conditions: [If applicable]
What to measure and benchmarks
For implementation, see the tools registry. Key email tools:
| Tool | Best For | MCP | Guide |
|---|---|---|---|
| Customer.io | Behavior-based automation | - | customer-io.md |
| Mailchimp | SMB email marketing | ✓ | mailchimp.md |
| Nitrosend | AI-native email (sequences via prompts) | ✓ | nitrosend.md |
| Resend | Developer-friendly transactional | ✓ | resend.md |
| SendGrid | Transactional email at scale | - | sendgrid.md |
| Kit | Creator/newsletter focused | - | kit.md |
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
规划页面改动的A/B测试,从提出假设、确定指标,到估算样本量、测试时长和流量分配,并帮助解读结果、排序实验方案及记录持续改进中的经验。
为不同广告平台撰写标题、正文及静态或视频创意方案。结合投放表现和顾客反馈拓展文案,检查格式限制,并制定可衡量的测试假设,用于下一轮优化。
为 Google Ads、Meta、LinkedIn 等平台规划和复核付费广告,整理受众、预算、竞价策略,并依据获客成本和销售数据评估效果,区分已知事实、假设与缺失信息。
调查品牌在AI搜索回答中的展示和引用情况,检查内容结构、依据与网站访问设置,整理改进方向,帮助AI系统获取关键信息。
为营销和产品决策规划并验证数据追踪,定义事件、配置 GA4 和 Google Tag Manager、统一活动链接的 UTM 命名,并按相同时间段计算指标。
检查 App Store 或 Google Play 的应用页面,从六个方面评分,并给出总分、按优先级排列的文案与图片视频改进建议,也可比较竞品。