Agent skill

Eighty Twenty Customer Value Rfm

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Segment customers and lists by 80/20 value, responsiveness, recency, frequency, and money.

MITAuto-check passed

Install Eighty Twenty Customer Value Rfm

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill eighty-twenty-customer-value-rfm -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins eighty-twenty-customer-value-rfm --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/eighty-twenty-customer-value-rfm .claude/skills/eighty-twenty-customer-value-rfm && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
eighty-twenty-customer-value-rfm
GitHub stars
1.3k
Token cost
~770 tokens
SKILL.md length
292 words
Files
1
Skills in repo
716
Repo updated
First seen
Licence
MIT

At a glance

Segment customers and lists by 80/20 value, responsiveness, recency, frequency, and money.

  • Works in 4 steps: Define The Customer Set → Score RFM And Responsiveness → Segment The List → …
  • Identifying best customers
  • SKILL.md covers Source Traceability, Workflow, Output Format and Quality Bar
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Eighty Twenty Customer Value Rfm is an agent skill from hashgraph-online/awesome-codex-plugins. Segment customers and lists by 80/20 value, responsiveness, recency, frequency, and money. Use when identifying best customers, prioritizing follow-up, finding high-value buyers, pruning low-value accounts, or deciding what customer data to measure.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Identifying best customers
  • Prioritizing follow-up
  • Finding high-value buyers
  • Pruning low-value accounts

Example prompts

  • “/eighty-twenty-customer-value-rfm”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Define The Customer Set
  2. Score RFM And Responsiveness
  3. Segment The List
  4. Decide Treatment By Segment

What it can do on your machine

Read from SKILL.md and the folder at commit 3e1456a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Eighty Twenty Customer Value Rfm loads about 770 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 292 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~770

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its MIT licence (© hashgraph-online). 292 words, ~770 tokens.

Download SKILL.mdSave it as .claude/skills/eighty-twenty-customer-value-rfm/SKILL.md (or your agent's skills folder).
name
eighty-twenty-customer-value-rfm
description
Segment customers and lists by 80/20 value, responsiveness, recency, frequency, and money. Use when identifying best customers, prioritizing follow-up, finding high-value buyers, pruning low-value accounts, or deciding what customer data to measure.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
80/20 Customer Value RFM
metadata.category
Marketing
metadata.tags
eighty-twenty,rfm,segmentation,customers,analytics

80/20 Customer Value RFM

Use this skill to find the customers, buyers, leads, or accounts that deserve disproportionate attention. It is based on 80/20 Sales and Marketing by Perry Marshall.

Source Traceability

Primary source: 80/20 Sales and Marketing, chapters 12, 19, 22, and 23.

  • Chapter 12 covers premium buyer behavior and hidden customer value.
  • Chapter 19 covers removing problem customers and weak performers.
  • Chapter 22 covers choosing the few measurements that matter.
  • Chapter 23 covers recency, frequency, money, and customer-value measurement.

Workflow

1. Define The Customer Set

Capture:

  • Customer or lead population.
  • Time window.
  • Revenue, profit, or strategic value metric.
  • Available behavioral data.
  • Follow-up capacity.

If the data is weak, create a practical scoring plan instead of pretending the segmentation is precise.

2. Score RFM And Responsiveness

Score each customer or segment:

  • Recency: how recently they acted or bought.
  • Frequency: how often they act or buy.
  • Money: how much they spend or can spend.
  • Responsiveness: how quickly and strongly they respond.
  • Fit: whether they match the desired customer profile.
3. Segment The List

Use these groups:

  • Best buyers: high recent value, repeat behavior, strong fit.
  • Expansion candidates: good fit with evidence of premium potential.
  • Nurture: fit is plausible but timing or proof is weaker.
  • Low-value tail: low fit, low value, high effort, or high support burden.
  • Problem customers: negative margin, toxic behavior, or strategic drag.
4. Decide Treatment By Segment

Recommend different action by segment:

  • Personal outreach.
  • Premium offer.
  • Referral request.
  • Automated nurture.
  • Requalification.
  • Sunset, prune, or fire.

Output Format

markdown
# Customer Value Segmentation

## Data Available
- Population:
- Time window:
- Fields available:
- Data gaps:

## RFM Segments
| Segment | Recency | Frequency | Money | Responsiveness | Action |
|---------|---------|-----------|-------|----------------|--------|

## 80/20 Findings
- Top customers:
- Hidden expansion group:
- Low-value tail:
- Problem customers:

## Recommended Actions
1. [Action]
2. [Action]
3. [Action]

Quality Bar

  • Do not treat all customers as equally valuable.
  • Do not use revenue without considering effort, margin, or fit.
  • Do not recommend firing customers without a clear reason.
  • Separate premium potential from current spend.
  • State what data would improve the segmentation.

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/LVTD-LLC/skills/skills/eighty-twenty-customer-value-rfm of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 3e1456a

Compare with similar skills

Eighty Twenty Customer Value Rfm next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Eighty Twenty Customer Value Rfm compared with similar skills
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Responsive Unitsthedaviddias/Front-End-Checklist74k—~472Automated safety check: PassMIT
CSS Custom Propertiesthedaviddias/Front-End-Checklist74k—~492Automated safety check: PassMIT
Shopify Admin Rfm Customer Segmentation40RTY-ai/shopify-admin-skills194—~1.9kAutomated safety check: PassMIT

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Questions about Eighty Twenty Customer Value Rfm

What does Eighty Twenty Customer Value Rfm do?

Segment customers and lists by 80/20 value, responsiveness, recency, frequency, and money. Eighty Twenty Customer Value Rfm is an agent skill from hashgraph-online/awesome-codex-plugins. Segment customers and lists by 80/20 value, responsiveness, recency, frequency, and money.

When should I use Eighty Twenty Customer Value Rfm?

Eighty Twenty Customer Value Rfm fits situations like: identifying best customers; prioritizing follow-up; finding high-value buyers; pruning low-value accounts.

How do I install Eighty Twenty Customer Value Rfm in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill eighty-twenty-customer-value-rfm -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/eighty-twenty-customer-value-rfm in hashgraph-online/awesome-codex-plugins) into .claude/skills/eighty-twenty-customer-value-rfm in your project. Claude Code loads it when a task matches its description.

How do I install Eighty Twenty Customer Value Rfm in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill eighty-twenty-customer-value-rfm -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/eighty-twenty-customer-value-rfm in hashgraph-online/awesome-codex-plugins) into .agents/skills/eighty-twenty-customer-value-rfm in your project. Codex loads it when a task matches its description.

Can I use Eighty Twenty Customer Value Rfm in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill eighty-twenty-customer-value-rfm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eighty-twenty-customer-value-rfm, .gemini/skills/eighty-twenty-customer-value-rfm, .github/skills/eighty-twenty-customer-value-rfm and .opencode/skills/eighty-twenty-customer-value-rfm in your project.

What does Eighty Twenty Customer Value Rfm need to run?

SKILL.md names no scripts, command-line tools or credentials: Eighty Twenty Customer Value Rfm is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Eighty Twenty Customer Value Rfm access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Eighty Twenty Customer Value Rfm safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Eighty Twenty Customer Value Rfm use?

Eighty Twenty Customer Value Rfm is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Eighty Twenty Customer Value Rfm use?

About 770 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Eighty Twenty Customer Value Rfm?

Skills that share tags, products or a category with Eighty Twenty Customer Value Rfm: List Segment Builder (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Rfm Customer Segmentation (liangdabiao/claude-data-analysis-ultra-main, 290 stars), Responsive Units (thedaviddias/Front-End-Checklist, 74k stars) and CSS Custom Properties (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Eighty Twenty Customer Value Rfm?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.