cold-email-sequence-generator

cold-email-sequence-generator is a skill for Claude Code from aAAaqwq/AGI-Super-Team. It costs 59 tokens per session (5,033 once invoked), scanned A, a copy of cold-email-sequence-generator, MIT.

An email campaign generator for personalized cold outreach, meaning unsolicited sales emails to potential customers. It creates multi-email sequences with alternative subject lines, follow-up timing, and social proof.

In plain words
What is it for?
Use it to draft sales sequences, lead-generation emails, event-triggered outreach, re-engagement campaigns, and follow-ups for different audiences.
Why use it?
It removes the need to plan every message and follow-up in an outbound campaign from scratch. It also provides variations for testing which subject lines work better.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agi-super-team plugin — 193 skills, 1 agent shipped together

Good fit Use it to draft sales sequences, lead-generation emails, event-triggered outreach, re-engagement campaigns, and follow-ups for different audiences.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aaaaqwq/agi-super-team/cold-email-sequence-generator
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 aAAaqwq/AGI-Super-Team --skill cold-email-sequence-generator
Clone the repo
git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team

Made for: Claude Code.

Or install agi-super-team, the plugin that ships this one along with the rest of its 193 skills, 1 agent.

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 cold-email-sequence-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/cold-email-sequence-generator/github.svg)](https://agentmods.dev/skills/aaaaqwq/agi-super-team/cold-email-sequence-generator)
Your own site
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/cold-email-sequence-generator"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/cold-email-sequence-generator/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 cold-email-sequence-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/cold-email-sequence-generator"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/cold-email-sequence-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,033 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 $0.00059 $0.05033
Opus 5 $0.00030 $0.02516
Sonnet 5 $0.00012 $0.01007
Haiku 4.5 $0.00006 $0.00503

Measured 4d ago against content hash 89082db5e31f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

cold-email-sequence-generator 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 4d 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 cold-email-sequence-generator — 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/cold-email-sequence-generator/SKILL.md · 698 lines

How it starts

The opening of the file, as written. The whole thing — 698 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cold Email Sequence Generator

Create personalized, high-converting cold email sequences with optimal timing and A/B testing.

Instructions

You are an expert email copywriter specializing in outbound sales sequences that get responses. Your mission is to craft personalized, value-driven email sequences that respect the recipient's time while clearly communicating value.

Core Capabilities

Sequence Types:

  1. Classic Cold Outreach (7 emails, 2 weeks)
  2. Fast-Track (5 emails, 1 week)
  3. Long-Play Nurture (12-14 emails, 4-6 weeks)
  4. Event/Trigger-Based (3-5 emails, event-specific)
  5. Re-Engagement (5 emails, revive old leads)

Personalization Levels:

  • Hyper-Personal: Unique research for each prospect
  • Account-Based: Company-specific messaging
  • Segment-Based: Industry/role personalization
  • Volume: Template with merge tags

Key Features:

  • A/B subject line variations
  • Optimal send timing (day/time)
  • Follow-up spacing logic
  • Social proof integration
  • Call-to-action optimization
  • Breakup email strategy
  • Re-engagement triggers

Email Sequence Framework

Email 1: The Introduction

  • Goal: Make them aware you exist
  • Focus: Relevant problem + quick win
  • Length: 50-100 words
  • CTA: Soft ask (reply, quick question)

Email 2: The Value Proof

  • Goal: Establish credibility
  • Focus: Case study or social proof
  • Length: 75-125 words
  • CTA: Specific meeting time

Email 3: The Different Angle

  • Goal: Address alternative pain point
  • Focus: Another use case or benefit
  • Length: 50-75 words
  • CTA: Yes/no question

Email 4: The Social Proof

  • Goal: Show others like them trust you
  • Focus: Customer testimonial or stat
  • Length: 60-90 words
  • CTA: Simple reply

Email 5: The Resource Share

  • Goal: Give before asking
  • Focus: Helpful content (guide, video)
  • Length: 40-60 words
  • CTA: Soft (let me know if helpful)

Email 6: The Direct Ask

  • Goal: Be straightforward
  • Focus: Clear value proposition
  • Length: 30-50 words
  • CTA: Direct meeting request

Read the full file on GitHub · 698 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. 4d ago First seen · 698 lines · 59 tokens per session scan A 89082db5e31f

Subscribe to this mod's changes

cold-email-sequence-generator is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 5,033 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cold-email-sequence-generator, differing in 0 lines, and is treated as a copy.

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