Agent skill

Customer Segment Slicing

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

Narrow broad customer categories into specific, reachable who-where segments for customer discovery, positioning, traction tests, sales outreach, or SEO personas.

MITAuto-check passedSales & Support

Install Customer Segment Slicing

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill customer-segment-slicing -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins customer-segment-slicing --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/customer-segment-slicing .claude/skills/customer-segment-slicing && 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
customer-segment-slicing
GitHub stars
1.2k
Token cost
~807 tokens
SKILL.md length
295 words
Files
3
Skills in repo
686
Repo updated
First seen
Licence
MIT

At a glance

Narrow broad customer categories into specific, reachable who-where segments for customer discovery, positioning, traction tests, sales outreach, or SEO personas.

  • Works in 7 steps: Start with the broad audience or market. → Split by demographics, role, use case,… → For each slice, state the motivation or… → …
  • Feedback is inconsistent
  • SKILL.md covers Source Traceability, Slicing Workflow, Useful Segment Tests and Output Format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Customer Segment Slicing is an agent skill from hashgraph-online/awesome-codex-plugins. Narrow broad customer categories into specific, reachable who-where segments for customer discovery, positioning, traction tests, sales outreach, or SEO personas. Use when feedback is inconsistent, the market is too broad, personas are vague, users request too many different features, or the team does not know where to find target customers.

Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `agents/openai.yaml` and `workflows/slice-customer-segment.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Sales & Support, covering Cold outreach and Positioning and messaging. 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

  • Feedback is inconsistent
  • The market is too broad
  • Personas are vague
  • Users request too many different features

Example prompts

  • “/customer-segment-slicing”

Requirements

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

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Start with the broad audience or market.
  2. Split by demographics, role, use case, behavior, buying context, urgency, or
  3. For each slice, state the motivation or problem that makes them care.
  4. Keep slicing any group that still produces mixed goals or feature requests.
  5. Add where to find each group: communities, events, tools, platforms, job
  6. Score the slices by reachability, expected value, urgency, consistency, and
  7. Pick one starting segment for the next discovery or traction pass.

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. 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

Customer Segment Slicing loads about 807 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 295 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~807

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 78497e5, republished under its MIT licence (© hashgraph-online). 295 words, ~807 tokens.

Download SKILL.mdSave it as .claude/skills/customer-segment-slicing/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
customer-segment-slicing
description
Narrow broad customer categories into specific, reachable who-where segments for customer discovery, positioning, traction tests, sales outreach, or SEO personas. Use when feedback is inconsistent, the market is too broad, personas are vague, users request too many different features, or the team does not know where to find target customers.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.3
metadata.displayName
Customer Segment Slicing
metadata.category
Marketing
metadata.tags
customer-discovery,segmentation,startups,positioning,research

Customer Segment Slicing

Use this skill before customer conversations, traction tests, sales outreach, or persona work when the target customer is too broad to produce consistent evidence. A useful segment is a who-where pair: who has the problem and where the team can find them.

Source Traceability

Primary source: The Mom Test by Rob Fitzpatrick, especially chapters 6-7. Guidance is paraphrased for this MIT repo; authoring notes used converted EPUB lines 2791-3610.

Slicing Workflow

  1. Start with the broad audience or market.
  2. Split by demographics, role, use case, behavior, buying context, urgency, or current workaround.
  3. For each slice, state the motivation or problem that makes them care.
  4. Keep slicing any group that still produces mixed goals or feature requests.
  5. Add where to find each group: communities, events, tools, platforms, job titles, search queries, partners, directories, or physical locations.
  6. Score the slices by reachability, expected value, urgency, consistency, and team fit.
  7. Pick one starting segment for the next discovery or traction pass.

Useful Segment Tests

Ask:

  • Would most people in this slice share the same problem or goal?
  • Can we find at least five of them this week?
  • Do they already spend time, money, attention, or reputation on this problem?
  • Would their feedback point toward one product direction rather than many?
  • Are there hidden stakeholders, buyers, users, or partners?
  • Is this slice narrow enough to learn from but valuable enough to matter?

Output Format

markdown
# Customer Segment Slicing

## Broad Segment
[Starting audience.]

## Candidate Slices
| Segment | Problem or Goal | Where To Find Them | Current Behavior | Reachability | Value | Urgency | Consistency | Fit |
|---------|-----------------|--------------------|------------------|--------------|-------|---------|-------------|-----|

## Recommended Starting Segment
[One who-where pair.]

## Why This Segment
- Strong shared motivation:
- Easy access path:
- Evidence to gather:
- Risks:

## Next Conversations
1. [Person/source]
2. [Person/source]
3. [Person/source]

Workflow

Use workflows/slice-customer-segment.md for a full segmentation pass.

Quality Bar

  • Do not accept categories like "students", "businesses", or "creators" without further slicing.
  • Do not optimize positioning or features from mixed-segment feedback.
  • Do not choose a segment that cannot be found.
  • Do not talk only to impressive people if they are not representative users, buyers, or stakeholders.

© 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

SKILL.md and 2 other files in plugins/LVTD-LLC/skills/skills/customer-segment-slicing of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • workflows/slice-customer-segment.md

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Customer Segment Slicing 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.

Customer Segment Slicing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Customer Segment Slicing this skillhashgraph-online/awesome-codex-plugins1.2k—~807Automated safety check: PassMIT
Icp Onboardinggrowthenginenowoslawski/coldoutboundskills742—~1.9kAutomated safety check: PassMIT
Messaging Ab Testergooseworks-ai/goose-skills1.2k1 repos~2.3kAutomated safety check: PassMIT
Customer Finderbuildfastwithai/gen-ai-experiments785—~1.4kAutomated safety check: PassMIT
Campaign Strategygrowthenginenowoslawski/coldoutboundskills742—~5.5kAutomated safety check: PassMIT
Linkedin Outbound AngleOthmane-Khadri/YALC-the-GTM-operating-system317—~3.5kAutomated safety check: PassMIT

Similar skills

  • Icp Onboarding

    growthenginenowoslawski/coldoutboundskills

    Conversational intake for cold email campaigns. An agent skill from growthenginenowoslawski/coldoutboundskills.

    742 GitHub stars~1.9k tokensUpdated 2 days ago
    Sales & SupportAuto-check passed
  • Messaging Ab Tester

    gooseworks-ai/goose-skills

    Generate 3-5 messaging variants for a value proposition, design structured A/B tests, and analyze results to determine which framing resonates most with ICP.

    1.2k GitHub starsUsed in 1 repo~2.3k tokens
    Sales & SupportAuto-check passed
  • Customer Finder

    buildfastwithai/gen-ai-experiments

    Find and qualify evidence-backed potential first customers, early adopters, design partners, or beta users for a startup using recent public pain and buying signals.

    785 GitHub stars~1.4k tokensUpdated 16 days ago
    Sales & SupportAuto-check passed
  • Campaign Strategy

    growthenginenowoslawski/coldoutboundskills

    Generates 15-25+ cold outbound campaign ideas with targeting strategies, AI personalization approaches, and value propositions.

    742 GitHub stars~5.5k tokensUpdated 2 days ago
    Marketing & SEOAuto-check passed
  • Linkedin Outbound Angle

    Othmane-Khadri/YALC-the-GTM-operating-system

    Analyzes a LinkedIn profile and identifies the perfect outbound attack angle for personalized outreach.

    317 GitHub stars~3.5k tokensUpdated 1 mo ago
    Marketing & SEOAuto-check passed
  • Offer Definer

    Othmane-Khadri/YALC-the-GTM-operating-system

    Transform product descriptions and feature lists into compelling, outcome-focused offers for cold outreach.

    317 GitHub stars~1k tokensUpdated 1 mo ago
    Sales & SupportAuto-check passed

More from hashgraph-online/awesome-codex-plugins

All 686 skills in this repo
  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.2k GitHub stars~922 tokensUpdated today
    Auto-check passed
  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.2k GitHub stars~1k tokensUpdated today
    Auto-check passed
  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.2k GitHub stars~1.7k tokensUpdated today
    Auto-check passed
  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.2k GitHub stars~2.4k tokensUpdated today
    Auto-check passed
  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.2k GitHub stars~618 tokensUpdated today
    Auto-check passed
  • Manuscript Engagement Analytics

    hashgraph-online/awesome-codex-plugins

    Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and…

    1.2k GitHub stars~875 tokensUpdated today
    Auto-check passed

Questions about Customer Segment Slicing

What does Customer Segment Slicing do?

Narrow broad customer categories into specific, reachable who-where segments for customer discovery, positioning, traction tests, sales outreach, or SEO personas. Customer Segment Slicing is an agent skill from hashgraph-online/awesome-codex-plugins. Narrow broad customer categories into specific, reachable who-where segments for customer discovery, positioning, traction tests, sales outreach, or SEO personas.

When should I use Customer Segment Slicing?

Customer Segment Slicing fits situations like: feedback is inconsistent; the market is too broad; personas are vague; users request too many different features.

How do I install Customer Segment Slicing in Claude Code?

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

How do I install Customer Segment Slicing in Codex?

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

Can I use Customer Segment Slicing 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 customer-segment-slicing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/customer-segment-slicing, .gemini/skills/customer-segment-slicing, .github/skills/customer-segment-slicing and .opencode/skills/customer-segment-slicing in your project.

What does Customer Segment Slicing need to run?

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

Does Customer Segment Slicing 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 Customer Segment Slicing 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 Customer Segment Slicing use?

Customer Segment Slicing 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 Customer Segment Slicing use?

About 807 tokens (SKILL.md is roughly 3.2k 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 Customer Segment Slicing?

Skills that share tags, products or a category with Customer Segment Slicing: Icp Onboarding (growthenginenowoslawski/coldoutboundskills, 742 stars), Messaging Ab Tester (gooseworks-ai/goose-skills, 1.2k stars), Customer Finder (buildfastwithai/gen-ai-experiments, 785 stars) and Campaign Strategy (growthenginenowoslawski/coldoutboundskills, 742 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Customer Segment Slicing?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 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.