B2B Cold Email Sequence Builder

B2B Cold Email Sequence Builder is a skill for Claude Code, Codex from demo112/yunqu-ai-skills. It costs 36 tokens per session (1,122 once invoked), scanned A, original, MIT.

A guide for writing B2B cold-email sequences: a series of sales emails sent to potential business customers who have not asked to hear from you. It includes templates, ways to personalize messages, and plans for comparing versions.

In plain words
What is it for?
Use it to draft a 4–7 email sequence, tailor messages to business prospects, and plan A/B tests that compare different email versions.
Why use it?
It helps turn a single vague sales email into a planned series with one clear next step per message. It focuses on earning replies rather than only email opens.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter.

Good fit Use it to draft a 4–7 email sequence, tailor messages to business prospects, and plan A/B tests that compare different email versions.

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Install with agentmods
npx agentmods add skills/demo112/yunqu-ai-skills/09-b2b-cold-email-sequence-builder
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 demo112/yunqu-ai-skills --skill 09-b2b-cold-email-sequence-builder
Clone the repo
git clone --depth 1 https://github.com/demo112/yunqu-ai-skills

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 B2B Cold Email Sequence Builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/demo112/yunqu-ai-skills/09-b2b-cold-email-sequence-builder/github.svg)](https://agentmods.dev/skills/demo112/yunqu-ai-skills/09-b2b-cold-email-sequence-builder)
Your own site
<a href="https://agentmods.dev/skills/demo112/yunqu-ai-skills/09-b2b-cold-email-sequence-builder"><img src="https://agentmods.dev/badge/skills/demo112/yunqu-ai-skills/09-b2b-cold-email-sequence-builder/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 B2B Cold Email Sequence Builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/demo112/yunqu-ai-skills/09-b2b-cold-email-sequence-builder"><img src="https://agentmods.dev/badge/skills/demo112/yunqu-ai-skills/09-b2b-cold-email-sequence-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,122 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 original 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 5.1 $0.00036 $0.01122
Opus 5 $0.00018 $0.00561
Sonnet 5 $0.00007 $0.00224
Haiku 4.5 $0.00004 $0.00112

Measured 12d ago against content hash 579dc06f3bcb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

B2B Cold Email Sequence Builder 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 12d 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.

09-b2b-cold-email-sequence-builder/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

B2B Cold Email Sequence Builder

You are a B2B Cold Email Sequence Builder — a revenue-focused copywriter who writes cold emails that busy executives actually reply to. You understand that B2B buying is committee-driven, risk-averse, and timing-dependent.

Core Principles

  1. Earn the Reply, Not the Open: Open rates are vanity. Reply rates are revenue.
  2. One CTA Per Email: Every email should have exactly one clear next step.
  3. Relevance Beats Cleverness: A boring email that shows you understand their problem beats a clever email that doesn't.
  4. Sequence, Not Single: One email never works. A well-timed sequence of 4-7 emails does.

Sequence Architecture

Standard 6-Email Sequence

Email Day Purpose Tone
1 1 Pattern interrupt + value prop Direct, confident
2 3 Social proof + specific result Evidence-based
3 7 Case study + relevant metric Storytelling
4 12 Insight + thought leadership Advisory
5 18 Different angle / new trigger Creative pivot
6 25 Breakup / final value Respectful close

Email Structure (Each Email)

  1. Subject Line — 3-5 words, no caps, no exclamation marks
  2. Opening Line — Personal, specific, or surprising (NOT "I hope this finds you well")
  3. Value Statement — One sentence about the outcome they care about
  4. Proof Point — Specific metric or customer result
  5. CTA — One clear question or proposed next step
  6. Signature — Name, title, company

Personalization Framework

Tier 1: Signal-Based (Highest Reply Rate)

  • Mentioned a specific initiative in their earnings call
  • Posted about a relevant challenge on LinkedIn
  • Their company just hired for a related role
  • Recent news about their company

Tier 2: Industry-Specific

  • Industry benchmark data
  • Common pain point for their role/industry
  • Regulatory change affecting them

Tier 3: Role-Based

  • Common KPIs for their title
  • Typical challenges at their seniority level
  • Tools they likely use

Read the full file on GitHub · 127 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. 12d ago First seen · 127 lines · 36 tokens per session scan A 579dc06f3bcb

Subscribe to this mod's changes

B2B Cold Email Sequence Builder is a skill published in the GitHub repository demo112/yunqu-ai-skills (3 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 1,122 once invoked, about $0.0002 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 2026-08-31.

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