Customer segmentation model builder — tiers customers by ARR, health, and expansion potential; defines CS motion per tier; maps resource allocation.

MITAuto-check: notesSales & Support

Install Keep Segment

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill keep-segment -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace keep-segment --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/bundle/revenue-team/skills/keep-segment .claude/skills/keep-segment && 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
keep-segment
GitHub stars
2.8k
Token cost
~1.6k tokens
SKILL.md length
415 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Customer segmentation model builder — tiers customers by ARR, health, and expansion potential; defines CS motion per tier; maps resource allocation.

  • Works in 7 steps: Gather Customer Base Data → Define Tier Thresholds → Health Score Components → …
  • Asked to segment our customers
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Keep Segment is an agent skill from jeremylongshore/tons-of-skills-marketplace. Customer segmentation model builder — tiers customers by ARR, health, and expansion potential; defines CS motion per tier; maps resource allocation. Use when asked to "segment our customers", "define our CS tiers", "how should we allocate CS resources", "build a customer segmentation model", or "who gets high-touch vs. digital".

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to segment our customers
  • Define our CS tiers
  • How should we allocate CS resources
  • Build a customer segmentation model

Example prompts

  • “segment our customers”
  • “define our CS tiers”
  • “how should we allocate CS resources”
  • “/keep-segment”

Requirements

  • Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, AskUserQuestion

Workflow steps

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

  1. Gather Customer Base Data
  2. Define Tier Thresholds
  3. Health Score Components
  4. Expansion Potential Score
  5. Define CS Motion Per Tier
  6. Resource Allocation Model
  7. Tier Promotion / Demotion Rules

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Glob
    • Grep
    • AskUserQuestion

    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 bash).

    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.

Context cost

Keep Segment loads about 1.6k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 415 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Glob, Grep, AskUserQuestion

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 415 words, ~1,644 tokens.

Download SKILL.mdSave it as .claude/skills/keep-segment/SKILL.md (or your agent's skills folder).
name
keep-segment
description
Customer segmentation model builder — tiers customers by ARR, health, and expansion potential; defines CS motion per tier; maps resource allocation. Use when asked to "segment our customers", "define our CS tiers", "how should we allocate CS resources", "build a customer segmentation model", or "who gets high-touch vs. digital".
allowed-tools
Read, Bash, Glob, Grep, AskUserQuestion
version
0.1.0
author
tonone-ai <hello@tonone.ai>
license
MIT

Customer Segmentation Model

You are Keep — the customer success engineer on the Product Team. Build a segmentation framework that matches CS resource intensity to account value and potential.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Gather Customer Base Data

Scan for account and revenue data:

bash
find . -name "*.md" -o -name "*.csv" -o -name "*.json" 2>/dev/null | xargs grep -l "ARR\|MRR\|customer\|account\|tier\|segment\|health\|NPS\|churn" 2>/dev/null | head -15
find . -name "*.md" 2>/dev/null | xargs grep -l "CSM\|customer.success\|expansion\|upsell\|NRR\|GRR" 2>/dev/null | head -10

Ask for missing inputs:

  • How many customers total?
  • ARR distribution: what does the top 20% look like vs. the bottom 20%?
  • How many CSMs are available?
  • What is the current motion (all high-touch, all automated, or mixed)?
  • What is the target NRR? (Net Revenue Retention — drives how aggressive expansion needs to be)
Step 1: Define Tier Thresholds

Set tier boundaries based on ARR and the company's stage:

TierNameARR RangeExpansion Potential% of Accounts% of ARR
1Strategic>$[X]High~5-10%~50-60%
2Growth$[Y]-$[X]Medium~20-30%~30-40%
3Scale$[Z]-$[Y]Low-Medium~30-40%~10-20%
4Long Tail<$[Z]Low~30-40%~5-10%

Calibrate thresholds to actual ARR distribution. A company with $2M ARR has different thresholds than one at $20M.

Step 2: Health Score Components

If no formal health score exists, define one:

SignalWeightScore Range
Product usage (DAU/MAU ratio)30%0-30
Feature adoption (core features used / available)20%0-20
Support health (CSAT score, open escalations)20%0-20
Relationship quality (exec access, champion active)15%0-15
NPS / satisfaction signal15%0-15

Total: 0-100

ScoreStatusColor
80-100HealthyGreen
60-79StableYellow
40-59At RiskOrange
0-39CriticalRed
Show full SKILL.md (167 more words)Show less
Step 3: Expansion Potential Score

Add an expansion lens (separate from health):

FactorIndicator
Seats used / seats licensed>80% utilization = expansion ready
Feature requests in support3+ requests for features in higher tier
Company growth signalsNew job postings, funding, headcount growth
Multi-team mentionsUsing product across more than one team
API usage spikesIntegration depth suggests platform potential

Score: HIGH / MEDIUM / LOW per account.

Step 4: Define CS Motion Per Tier

Map each tier to the appropriate CS motion and resource level:

## Tier 1 — Strategic (High-Touch)

CSM ratio:    1 CSM : 5-8 accounts
Motion:       Named CSM, dedicated AE, executive sponsor from vendor side
Cadence:      Monthly business review, QBR every quarter, executive sponsor call bi-annually
Channels:     Phone, Slack Connect, in-person / video
Playbooks:    Full onboarding, custom success plan, expansion proactive, multi-year renewal
Escalation:   CSM manager and VP CS have direct visibility

## Tier 2 — Growth (Mid-Touch)

CSM ratio:    1 CSM : 15-25 accounts
Motion:       Pooled CSM with account ownership, AE on expansion calls only
Cadence:      Bi-monthly check-in, QBR twice per year
Channels:     Email, video, occasional Slack
Playbooks:    Templatized onboarding, health-triggered outreach, expansion at 70%+ utilization
Escalation:   Health score drop triggers CSM manager review

## Tier 3 — Scale (Digital / Light Touch)

CSM ratio:    1 CSM : 50-100 accounts
Motion:       Automated health monitoring, CSM engages on signals only
Cadence:      Quarterly email QBR, automated in-app nudges
Channels:     Email, in-app messaging, help center
Playbooks:    In-app onboarding, automated health alerts, self-serve expansion
Escalation:   Red health score or expansion signal queues CSM outreach

## Tier 4 — Long Tail (Self-Serve)

CSM ratio:    0 (community + product-led)
Motion:       Community forum, knowledge base, in-app guidance
Cadence:      Lifecycle emails only (triggered by behavior)
Channels:     Email, in-app, community, chatbot
Playbooks:    Automated onboarding sequences, upgrade prompts at usage limits
Escalation:   High ARR accounts in this tier should be reviewed for tier promotion
Step 5: Resource Allocation Model
## CS Resource Map

Total CSM headcount: [N]
Tier 1 CSMs: [N] (handle [N] accounts, $[X] ARR)
Tier 2 CSMs: [N] (handle [N] accounts, $[X] ARR)
Tier 3 CSMs: [N] (handle [N] accounts, $[X] ARR)
Tier 4: automated (handle [N] accounts, $[X] ARR)

CSM : ARR ratio per tier:
Tier 1: $[X] ARR per CSM (target <$500K for premium coverage)
Tier 2: $[X] ARR per CSM (target $1M-$2M)
Tier 3: $[X] ARR per CSM (target $2M-$5M)
Step 6: Tier Promotion / Demotion Rules

Define when an account moves between tiers:

  • Promote: ARR crosses threshold on renewal OR expansion event
  • Promote: Expansion potential score = HIGH for 2 consecutive quarters
  • Demote: ARR drops below threshold on renewal
  • Demote: No expansion signals for 4 quarters (Tier 1 → 2 only, after review)

Delivery

Output: (1) tier definitions with thresholds, (2) health score framework, (3) CS motion per tier, (4) resource allocation model. If output exceeds 40 lines, delegate to /atlas-report.

© jeremylongshore, 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/ai-agency/tonone/bundle/revenue-team/skills/keep-segment of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Keep Segment 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.

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Categories

Questions about Keep Segment

What does Keep Segment do?

Customer segmentation model builder — tiers customers by ARR, health, and expansion potential; defines CS motion per tier; maps resource allocation. Keep Segment is an agent skill from jeremylongshore/tons-of-skills-marketplace. Customer segmentation model builder — tiers customers by ARR, health, and expansion potential; defines CS motion per tier; maps resource allocation.

When should I use Keep Segment?

Keep Segment fits situations like: asked to segment our customers; define our CS tiers; how should we allocate CS resources; build a customer segmentation model.

How do I install Keep Segment in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill keep-segment -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/bundle/revenue-team/skills/keep-segment in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/keep-segment in your project. Claude Code loads it when a task matches its description.

How do I install Keep Segment in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill keep-segment -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/bundle/revenue-team/skills/keep-segment in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/keep-segment in your project. Codex loads it when a task matches its description.

Can I use Keep Segment 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 jeremylongshore/tons-of-skills-marketplace --skill keep-segment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keep-segment, .gemini/skills/keep-segment, .github/skills/keep-segment and .opencode/skills/keep-segment in your project.

What does Keep Segment need to run?

SKILL.md names no scripts, command-line tools or credentials: Keep Segment is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, AskUserQuestion.

Does Keep Segment 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 Keep Segment safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Keep Segment use?

Keep Segment 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 Keep Segment use?

About 1.6k tokens (SKILL.md is roughly 6.6k 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 Keep Segment?

Skills that share tags, products or a category with Keep Segment: Cold Outbound Optimizer (ericosiu/ai-marketing-skills, 3.6k stars), Doc Coauthoring (aws-samples/sample-strands-agent-with-agentcore, 195 stars), Amazon Buy Box Monitor (browser-act/skills, 6.1k stars) and Review Analysis (liangdabiao/amazon-sorftime-research-MCP-skill, 959 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Keep Segment?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.