email-sequence

email-sequence is a skill for Claude Code, Codex from Global-mindee/WAY. It costs 130 tokens per session (2,182 once invoked), scanned A, original, MIT.

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,"…

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/global-mindee/way/email-sequence
Any agent
npx skills add Global-mindee/WAY --skill email-sequence
Clone the repo
git clone --depth 1 https://github.com/Global-mindee/WAY

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/global-mindee/way/email-sequence.svg)](https://agentmods.dev/skills/global-mindee/way/email-sequence)
Your own site
<a href="https://agentmods.dev/skills/global-mindee/way/email-sequence"><img src="https://agentmods.dev/badge/skills/global-mindee/way/email-sequence.svg" alt="Measured on agentmods" height="20"></a>
Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,182 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found 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 $0.02182
Opus 5 $0.00065 $0.01091
Sonnet 5 $0.00026 $0.00436
Haiku 4.5 $0.00013 $0.00218

Measured today against content hash b64ee53fcff3, 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 today.

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.

skills/03_business/email-sequence/SKILL.md · 312 lines

How it starts

The opening of the file, as written. The whole thing — 312 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 .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:

  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 · 312 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. today First seen · 312 lines · 130 tokens per session scan A b64ee53fcff3

Subscribe to this mod's changes

email-sequence is a skill published in the GitHub repository Global-mindee/WAY (11 stars, last pushed 1mo ago), licensed MIT. It adds 130 tokens to every session and 2,182 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

Migrate

Intakes external content, classifies chunks against LifeOS taxonomy, commits with provenance. Sources: .md/.txt, stdin, LifeOS dirs, CLAUDE.md/Cursor/OpenAI Custom Instructions, Obsidian/Notion/Apple Notes exports. MigrateScan classifies → routing table. MigrateApprove with…

danielmiessler/LifeOS · 158 tokens

PrivateInvestigator

Ethical people-finding and identity verification via parallel research agents across people-search sites, social media, public records, and reverse phone/email/image/username lookups, with confidence-scored results requiring 3+ matching identifiers. USE WHEN find person, locate person, reconnect, lost contact, old…

danielmiessler/LifeOS · 120 tokens

SuggestSkills

Discover WHICH new skills you should create, from your own work history plus your satisfaction/frustration signals. Read-only and proposal-only: it surfaces recurring pain that no existing skill, loop, or workflow covers, then hands you a ranked shortlist to build with CreateSkill. It never creates or edits a skill…

danielmiessler/LifeOS · 172 tokens

CreateSkill

Mandatory orchestrator for all LifeOS skill work — creating, editing, adding a workflow or tool, renaming, validating, or canonicalizing any skill. Handrolling skill files is forbidden; owns the full lifecycle: scaffold, validate, canonicalize, test, improve. USE WHEN create skill, new skill, make a skill, build a…

danielmiessler/LifeOS · 146 tokens

i-have-adhd

Action-first, zero-filler replies for a reader who loses the thread in prose. Use when the user asks for terse or direct answers, says too long, get to the point, tldr, stop rambling, or when replies keep getting cut off or ignored.

Zfinix/aster · 60 tokens

pr-review-triage

Mandatory pre-merge gate. Encodes the PR review triage workflow: retrieve all automated and human reviews (Copilot review is auto-triggered on PR open), classify actionable vs. advisory comments, prioritise by blocking/suggestion/nit, batch fixes by file, phase them efficiently, and use scripts/prreviewreply.py to…

EndogenAI/dogma · 179 tokens