Agent Skill

Company Segmentation

Group companies by industry, business model, size, maturity, market, or strategic fit.

Version 1.0 Updated June 2026 SKILL.md MIT 6 min read

Overview

What this skill does

A target account list mixes very different kinds of companies, and treating them as one market produces vague targeting and generic messaging.

This skill assigns each company to a segment using consistent definitions, supports each assignment with characteristics from the record, reports confidence, and adds segment-level observations to guide go-to-market.

When to use it

Best used for

  • Grouping a target account list for ABM
  • Defining tiers for a go-to-market plan
  • Aligning messaging to company type
  • Reporting account-base composition

Know the limits

When not to use this skill

  • The records lack firmographic signal
  • You need per-contact personas (use Persona Classification)
  • You want market-wide patterns (use Market Research)

Inputs

Provide these when prompted. The skill asks for anything missing before it runs.

Required

  • Company records

Optional

  • Your segment definitions
  • Dimensions to weight (model, size, maturity)

Outputs

One record per company with a consistent, inspectable schema.

  • company_segment

    The assigned segment.

  • segment_definition

    The rule defining the segment.

  • supporting_characteristics

    Evidence for the assignment.

  • confidence

    Assignment confidence.

  • segment_level_observations

    Notes about each segment.

Example

Example

A company assigned to a segment.

Input

Company: Lumen Robotics — vertical SaaS, manufacturing, ~180 employees, growth stage.

Output

company_segment: Mid-market vertical SaaS
segment_definition: 50-500 employees, industry-specific SaaS
supporting_characteristics: 180 employees; manufacturing focus
confidence: high
segment_level_observations: Growth-stage; likely budget for tooling

The company lands in a clearly defined mid-market vertical-SaaS segment, with growth-stage as a useful go-to-market note.

Setup

How to use the skill

General steps first, then notes for specific clients where verified.

  1. 1Download the file using the button below, or copy the Markdown.
  2. 2Place it in a directory named after the skill (e.g. skill-name/).
  3. 3Make sure the filename stays exactly SKILL.md.
  4. 4Add any references or assets included with the package.
  5. 5Load the skill into a compatible agent and provide the required inputs.
Claude Code
  1. 1Create a folder for the skill and save SKILL.md inside it.
  2. 2Place the folder where your project's skills are discovered.
  3. 3Reference the skill when you want it applied to your data.
Other compatible clients
  1. 1Confirm the client supports the open Agent Skills format.
  2. 2Load the SKILL.md file as instructed by that client.
  3. 3If skills are not auto-loaded, paste the Markdown as instructions.

Source

Full SKILL.md source

Read the rendered skill or copy the complete Markdown. The download is generated from this exact source.

Version 1.0 SKILL.md ~2 KB MIT
View on GitHub

Company Segmentation

Purpose

Group companies by industry, business model, size, maturity, market, or strategic fit.

When to use this skill

  • Grouping a target account list for ABM
  • Defining tiers for a go-to-market plan
  • Aligning messaging to company type
  • Reporting account-base composition

When not to use this skill

  • The records lack firmographic signal
  • You need per-contact personas (use Persona Classification)
  • You want market-wide patterns (use Market Research)

Required inputs

  • Company records

Optional inputs

  • Your segment definitions
  • Dimensions to weight (model, size, maturity)

Rules

  1. Assign one primary segment per company.
  2. Use consistent, explicit segment definitions.
  3. Support assignments with record evidence.
  4. Report confidence per assignment.
  5. Do not invent firmographic data.

Process

  1. Establish segment definitions.
  2. Evaluate each company against them.
  3. Assign the best-fit segment.
  4. Record supporting characteristics and confidence.
  5. Add segment-level observations.

Output format

Return one record per company with the following fields:

  • company_segment
  • segment_definition
  • supporting_characteristics
  • confidence
  • segmentlevelobservations

Validation

  • Confirm one segment per company.
  • Confirm assignments cite evidence.
  • Confirm definitions are applied consistently.

Limitations

  • Segments depend on firmographic completeness.
  • Edge-case companies may fit multiple segments.

Before you rely on it

Safety and limitations

  • Segments depend on firmographic completeness.
  • Edge-case companies may fit multiple segments.
  • Review the output before acting on it.
  • Do not upload confidential datasets to an external model without authorization.
  • Outputs depend on the model and the source data and are not guaranteed to be accurate.

History

Changelog

  1. v1.0June 2026
    • Initial release.

Questions

Agent Skill FAQ

Which attributes can it segment by?
Industry, business model, size, maturity, market, or strategic fit — whichever your records support. Each segment comes with a clear definition you can reuse.
How is this different from Market Research?
Market Research discovers patterns and segments in a dataset; Company Segmentation assigns each company to a segment you can act on.
Do I need ProfileSpider to use this skill?
No. The skill works on any compatible data. ProfileSpider is one convenient way to produce that structured input.
Does running this skill send data to ProfileSpider?
No. Downloading or copying the file does not send any data to ProfileSpider. What happens afterward depends on the AI service you load it into.
Are Agent Skills the same as prompts?
No. A skill is a structured, reusable package — task, inputs, rules, process, and output format — so the workflow runs consistently and can be shared, versioned, and edited.

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