Design email sequences for welcoming subscribers, nurturing leads, following up after purchases, or re-engaging inactive readers. Produce complete drafts with subject lines, send timing, audience conditions, and a measurement plan, then check sequence quality.
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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," or "lifecycle emails." For in-app onboarding, see onboarding-cro.
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.
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before creating a sequence, understand:
Sequence Type
Audience Context
Goals
→ See references/email-sequence-playbook.md for details
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
| Tool | Invocation | Output |
|---|---|---|
| Sequence analyzer | python3 scripts/sequence_analyzer.py --file sequence.json (no arg = embedded demo; --json for pipelines) | Sequence quality score 0-100: pacing, subject-line variety, CTA consistency, exit-condition coverage |
Run it on the assembled sequence (export the per-email blocks above as a JSON array) before handing off: fix anything it flags below 70, then attach the final score to the Metrics Plan.
Key email tools:
| Tool | Best For | MCP |
|---|---|---|
| Customer.io | Behavior-based automation | - |
| Mailchimp | SMB email marketing | ✓ |
| Resend | Developer-friendly transactional | ✓ |
| SendGrid | Transactional email at scale | - |
| Kit | Creator/newsletter focused | - |
Deliver email sequences as complete, ready-to-send drafts — include subject line, preview text, full body, and CTA for every email in the sequence. Always specify the trigger condition and send timing. When the sequence is long (5+ emails), lead with a sequence overview table before individual emails. Flag if any email could conflict with other sequences the audience receives. Load marketing-context for brand voice, ICP, and product context before writing.
| Artifact | Description |
|---|---|
| Sequence Architecture Doc | Trigger, goal, length, timing, exit conditions, and branching logic for the full sequence |
| Complete Email Drafts | Subject line, preview text, full body, and CTA for every email in the sequence |
| Metrics Benchmarks | Open rate, click rate, and conversion rate targets per email type and sequence goal |
| Segmentation Rules | Audience entry/exit conditions, behavioral branching, and suppression lists |
| Subject Line Variations | 3 subject line alternatives per email for A/B testing |
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Audit web applications for accessibility issues against WCAG 2.2 Level A and AA, the web accessibility standards. Get framework-specific code fixes, contrast checks, verification steps, and reports, with options for automated checks in development pipelines.
中文简介正在准备中。当前显示英语简介。
Plan A/B tests that compare page variations, from headlines to pricing layouts. Define a hypothesis, choose success metrics, calculate sample size and duration, and prepare launch checks and results reports to support decisions.
中文简介正在准备中。当前显示英语简介。
Create paid ad headlines and body copy tailored to each platform's character limits. Use existing performance data to develop variations, explore new messaging angles, and check copy for length, quality, and potential rejection risks.
中文简介正在准备中。当前显示英语简介。
Review code changes from three critical perspectives: production failures, maintainability, and security. Get a consolidated report that ranks findings by severity and provides merge guidance, helping examine assumptions that an ordinary self-review may overlook.
中文简介正在准备中。当前显示英语简介。
Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.
中文简介正在准备中。当前显示英语简介。
Create signed records for consequential agent actions such as deployments, deletions, and payments. Decide which actions need evidence, record the agent, action, target, and policy, then verify the resulting certificate offline to detect later changes.
中文简介正在准备中。当前显示英语简介。