email-sequence

email-sequence is a skill for Claude Code, Codex from L-LesterYu/OpenClaw-hot-skills-zh. It costs 84 tokens per session (5,764 once invoked), scanned A, a copy of email-sequence, MIT.

A guide for creating and improving automated email sequences, also called drip campaigns or lifecycle emails. These are planned groups of messages sent in response to a signup, purchase, event, or other audience condition.

In plain words
What is it for?
Use it to plan welcome, onboarding, lead-nurture, re-engagement, post-purchase, educational, event-based, or sales sequences. It helps define the audience, trigger, conversion goal, message purpose, and progression.
Why use it?
It helps prevent sending unfocused or excessive emails by giving each message one job and a clear next step. It also emphasizes useful content, audience relevance, and measurable goals.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan welcome, onboarding, lead-nurture, re-engagement, post-purchase, educational, event-based, or sales sequences. It helps define the audience, trigger, conversion goal, message purpose, and progression.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/l-lesteryu/openclaw-hot-skills-zh/email-sequence
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add L-LesterYu/OpenClaw-hot-skills-zh --skill email-sequence
Clone the repo
git clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zh

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for email-sequence

README.md
[![agentmods](https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/email-sequence/github.svg)](https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/email-sequence)
Your own site
<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/email-sequence"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/email-sequence/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for email-sequence

Your own site · 80×15
<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/email-sequence"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/email-sequence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,764 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.05764
Opus 5 $0.00042 $0.02882
Sonnet 5 $0.00017 $0.01153
Haiku 4.5 $0.00008 $0.00576

Measured 13d ago against content hash 3db17b4bfcb1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

email-sequence scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to email-sequence — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/marketing-skills-zh/references/email-sequence/SKILL.md · 926 lines

How it starts

The opening of the file, as written. The whole thing — 926 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Email Sequence Design

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.

Initial Assessment

Before creating a sequence, understand:

  1. Sequence Type

    • Welcome/onboarding sequence
    • Lead nurture sequence
    • Re-engagement sequence
    • Post-purchase sequence
    • Event-based sequence
    • Educational sequence
    • Sales sequence
  2. Audience Context

    • Who are they?
    • What triggered them into this sequence?
    • What do they already know/believe?
    • What's their current relationship with you?
  3. Goals

    • Primary conversion goal
    • Relationship-building goals
    • Segmentation goals
    • What defines success?

Core Principles

1. One Email, One Job

  • Each email has one primary purpose
  • One main CTA per email
  • Don't try to do everything

2. Value Before Ask

  • Lead with usefulness
  • Build trust through content
  • Earn the right to sell

3. Relevance Over Volume

  • Fewer, better emails win
  • Segment for relevance
  • Quality > frequency

4. Clear Path Forward

  • Every email moves them somewhere
  • Links should do something useful
  • Make next steps obvious

Email Sequence Strategy

Sequence Length

  • Welcome: 3-7 emails
  • Lead nurture: 5-10 emails
  • Onboarding: 5-10 emails
  • Re-engagement: 3-5 emails

Depends on:

  • Sales cycle length
  • Product complexity
  • Relationship stage

Timing/Delays

  • Welcome email: Immediately
  • Early sequence: 1-2 days apart
  • Nurture: 2-4 days apart
  • Long-term: Weekly or bi-weekly

Consider:

  • B2B: Avoid weekends
  • B2C: Test weekends
  • Time zones: Send at local time

Subject Line Strategy

  • Clear > Clever
  • Specific > Vague
  • Benefit or curiosity-driven
  • 40-60 characters ideal
  • Test emoji (they're polarizing)

Patterns that work:

  • Question: "Still struggling with X?"
  • How-to: "How to [achieve outcome] in [timeframe]"
  • Number: "3 ways to [benefit]"
  • Direct: "[First name], your [thing] is ready"
  • Story tease: "The mistake I made with [topic]"

Read the full file on GitHub · 926 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 926 lines · 84 tokens per session scan A 3db17b4bfcb1

Subscribe to this mod's changes

email-sequence is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (54 stars, last pushed 5mo ago), licensed MIT. It adds 84 tokens to every session and 5,764 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to email-sequence, differing in 0 lines, and is treated as a copy.

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