upsell-sequence-writer

upsell-sequence-writer is a skill for Claude Code from coleschaffer/copywritingskills-rmbc. It costs 38 tokens per session (1,522 once invoked), scanned A, original, MIT.

An email-sequence writing aid for messages sent after a customer buys something. It creates three to five emails that introduce a related, more expensive offer while providing value first.

In plain words
What is it for?
Use it to write post-purchase upsell emails based on the original product, the complementary offer, its price, and the target customer.
Why use it?
It organizes follow-up messages so the customer is thanked, helped with the original purchase, and then shown a relevant next offer. This avoids having to plan the sequence from scratch.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: model in frontmatter.

Part of the rmbc-skills plugin — 42 skills shipped together

Good fit Use it to write post-purchase upsell emails based on the original product, the complementary offer, its price, and the target customer.

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Install with agentmods
npx agentmods add skills/coleschaffer/copywritingskills-rmbc/upsell-sequence-writer
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 coleschaffer/copywritingskills-rmbc --skill upsell-sequence-writer
Clone the repo
git clone --depth 1 https://github.com/coleschaffer/copywritingskills-rmbc

Made for: Claude Code.

Or install rmbc-skills, the plugin that ships this one along with the rest of its 42 skills.

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 upsell-sequence-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/upsell-sequence-writer/github.svg)](https://agentmods.dev/skills/coleschaffer/copywritingskills-rmbc/upsell-sequence-writer)
Your own site
<a href="https://agentmods.dev/skills/coleschaffer/copywritingskills-rmbc/upsell-sequence-writer"><img src="https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/upsell-sequence-writer/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 upsell-sequence-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/coleschaffer/copywritingskills-rmbc/upsell-sequence-writer"><img src="https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/upsell-sequence-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,522 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 $0.00038 $0.01522
Opus 5 $0.00019 $0.00761
Sonnet 5 $0.00008 $0.00304
Haiku 4.5 $0.00004 $0.00152

Measured 11d ago against content hash f6fb6dd11206, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

upsell-sequence-writer 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 11d 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.

skills/upsell-sequence-writer/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

upsell-sequence-writer

Purpose

Generate a post-purchase email sequence (3-5 emails) that ascends customers from their initial purchase to a higher-ticket complementary offer. These emails deploy after the buyer has already said yes — trust is established, the product is in hand (or arriving), and the window for ascension is open. Each email must deliver genuine value before bridging to the upsell. The sequence arc moves from gratitude through value delivery to the offer, with urgency closing the window. Every email uses RMBC principles compressed into short-form format.

Inputs

Input Required Description
initial_product Yes What the customer already purchased — name, price, core promise
upsell_product Yes The higher-ticket offer — name, price, what it does, how it complements the initial purchase
upsell_price Yes Price of the upsell with any discount framing
target_audience Yes Who the buyer is — demographics, pain points, desires, sophistication level
sequence_length No Number of emails: 3, 4, or 5 (default: 5)
key_mechanism No The upsell product's unique mechanism (output from /mechanism-ideation)
send_timing No Days between emails (default: Day 1, 3, 5, 7, 9)

Execution Protocol

Step 1 — Load Framework Context

Read rmbc-context/SKILL.md to load RMBC framework definitions. Upsell sequences deploy RMBC across multiple touchpoints — Research informs the value content, Mechanism justifies the upsell, Brief structures the sequence arc, Copy executes each email.

Step 2 — Define the Sequence Arc

Map the emotional journey across the sequence:

Email Role Emotional State RMBC Focus
1 — Thank You Validate purchase, deliver quick win Excited, hopeful Research (reinforce their decision)
2 — Value Delivery Teach something useful related to their purchase Engaged, learning Research → Mechanism tease
3 — Bridge Connect initial product's limitation to upsell need Curious, aware of gap Mechanism reveal
4 — Offer Present the upsell with full value stack Desire, trust Brief → Copy (full pitch)
5 — Urgency Close Final window, scarcity, guarantee restatement Fear of missing out Copy (close)

Read the full file on GitHub · 132 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. 11d ago First seen · 132 lines · 38 tokens per session scan A f6fb6dd11206

Subscribe to this mod's changes

upsell-sequence-writer is a skill published in the GitHub repository coleschaffer/copywritingskills-rmbc (30 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 1,522 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 2026-08-30.

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