email-sequence

A guide to planning automated email series, where messages are sent in a sequence based on time or user actions.

In plain words
What is it for?
Use it to create welcome, onboarding, lead-nurture, re-engagement, post-purchase, educational, event-based, or sales email sequences.
Why use it?
It prevents a campaign from becoming a collection of disconnected emails by giving each message one clear purpose and matching the series to the audience and goal.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/b1rdmania/ghostclaw/email-sequence
Any agent
npx skills add b1rdmania/ghostclaw --skill email-sequence
Clone the repo
git clone --depth 1 https://github.com/b1rdmania/ghostclaw

Made for: Claude Code, Codex.

Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,140 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 95% 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 $0.00130 $0.02140
Opus 5 $0.00065 $0.01070
Sonnet 5 $0.00026 $0.00428
Haiku 4.5 $0.00013 $0.00214

Measured 3d ago against content hash 534aac44dbd4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d 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

95% identical to emails — 16 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.

.claude/skills/email-sequence/SKILL.md · 310 lines

How it starts

The opening of the file, as written. The whole thing — 310 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

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), 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:

  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)

Read the full file on GitHub · 310 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 310 lines · 130 tokens per session scan A 534aac44dbd4

Subscribe to this mod's changes

email-sequence is a skill published in the GitHub repository b1rdmania/ghostclaw (91 stars, last pushed 4mo ago), licensed MIT. It adds 130 tokens to every session and 2,140 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to emails, differing in 16 lines, and is treated as a copy.

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