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create-icp-tiers

Classify companies into Ideal Customer Profile (ICP) tiers based on firmographic data (industry + employee count).

Skill by tomgranot

IndexedMIT★ 77
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Classify companies into Ideal Customer Profile (ICP) tiers based on firmographic data (industry + employee count). Creates a custom property via API and 4 classification workflows in HubSpot UI.

Use cases: design, backend, data, sales

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 2

  • api.hubapi.com · found in code
  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/create-icp-tiers

What's inside

Skill name
create-icp-tiers
Description
Classify companies into Ideal Customer Profile (ICP) tiers based on firmographic data (industry + employee count). Creates a custom property via API and 4 classification workflows in HubSpot UI.
License
MIT
Metadata
author: tomgranot · version: 1.1 · category: segmentation-scoring
Instructions
266 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts
  • Instructions call the network

Files (4)

  • SKILL.md
  • after.py · scripts/
  • before.py · scripts/
  • execute.py · scripts/

SKILL.md (first lines)

# Create ICP Tier Property and Classification Workflows

Classify every company in the CRM into an Ideal Customer Profile tier based on firmographic data. Creates a custom dropdown property and 4 automated workflows that continuously classify companies as they enter or change.

## Why This Matters

Without ICP classification, every inbound lead looks the same regardless of whether they come from a large enterprise in a target vertical or a tiny company in an irrelevant industry. Sales and marketing have no systematic way to prioritize outreach, allocate resources, or differentiate campaigns by company fit. ICP Tier is also a major input to the lead scoring model.

## Prerequisites

- Super Admin permissions in HubSpot
- A HubSpot service key (`HUBSPOT_ACCESS_TOKEN` in `.env`; an existing legacy private app token also works) with company read/write and `crm.schemas.companies.write` scopes
- Python 3.10+ with [`uv`](https://github.com/astral-sh/uv)
- Access to Automation > Workflows (Marketing Hub Professional or higher)
- Data enrichment processes completed (company name, industry, geo values) so company data is as complete as possible
- Company properties **Number of Employees** and **Industry** should be well-populated. Check coverage:
  - Industry: aim for 80%+ populated
  - Employee count: aim for 80%+ populated
  - Companies missing these fields will fall to "Not ICP" (conservative, intentional)

## Interview: Gather Requirements

Before executing, collect the following information from the user:

**Q1: What industries define your ideal customer?**
- Examples: Manufacturing, Professional Services, Logistics, Retail, Education, Media & Entertainment, Hospitality, Real Estate, Agriculture
- Default: No default -- this is highly business-specific and must be provided by the user

**Q2: What employee count ranges define your tiers?**
- Examples: Tier 1: 1,000+, Tier 2: 200-999, Tier 3: 50-199, Not ICP: under 50
- Default: Tier 1: 1,000+, Tier 2: 200-999, Tier 3: 50-199

**Q3: Are there any other firmographic criteria?**
- Examples: Annual revenue thresholds, geographic restrictions (US-only, EMEA, etc.), specific technologies used, funding stage
- Default: None -- industry and employee count are the primary classification axes

## Scripts

Script paths are relative to this skill's directory. Run them from your project directory so `.env`, `data/`, and `reports/` resolve there: prefix each path with wherever this skill is installed (`skills/create-icp-tiers/` in a clone of the repo).

| Stage | Script | Run with |
|-------|--------|----------|
| Before | [`scripts/before.py`](./scripts/before.py) | `uv run scripts/before.py` |
| Execute | [`scripts/execute.py`](./scripts/execute.py) | `uv run scripts/execute.py` |
| After | [`scripts/after.py`](./scripts/after.py) | `uv run scripts/after.py` |

`before.py` checks whether the tier property exists and audits industry/employee-count coverage. `execute.py` creates the ICP Tier property (review its configuration block first). `after.py` verifies coverage and tier distribution. The classification workflows themselves are built in the UI (see Execute).

## Plan

1. Define your ICP tier criteria (industry verticals + employee count thresholds)
2. Create the ICP Tier custom property via API or UI
3. Build 4 classification workflows (Tier 1, Tier 2, Tier 3, Not ICP)
4. Activate workflows in staggered sequence
5. Verify classification results (after state)

## Before

### Define Your ICP Tiers

Before building anything, define your criteria framework:

| Tier | Label | Industry Verticals | Employee Threshold |
|------|-------|-------------------|-------------------|
| Tier 1 | Primary ICP | [Your primary verticals, e.g., Manufacturing, Professional Services, Logistics] | [e.g., 1,000+] |
| Tier 2 | Secondary ICP | [Your secondary verticals, e.g., Retail, Education, Media & Entertainment] | [e.g., 200+] |
| Tier 3 | Tertiary ICP | [Your tertiary verticals, e.g., Hospitality, Real Estate, Agriculture] | [e.g., 200+] |
| Not ICP | Not ICP | Everything else | Any |

**Size-based demotion pattern:** Companies in a higher-tier industry but below that tier's employee threshold should be demoted to the next tier down, not classified as "Not ICP". For example:
- A company in a Tier 1 industry with fewer than 1,000 but more than 200 employees -> Tier 2
- A company in a Tier 2 industry with fewer than 200 but more than 50 employees -> Tier 3
- Only companies below 50 employees in any ICP industry, or in non-ICP industries entirely, should be "Not ICP"

This ensures ICP-relevant companies are never lost due to size alone.

### Audit Current State

Run `uv run scripts/before.py`. The core queries:

```python
# Check if the ICP Tier property already exists
# Use your chosen property name (e.g., "company_segment", "buyer_tier", "icp_tier")
PROPERTY_NAME = "company_segment"
resp = requests.get(f"{BASE}/crm/v3/properties/companies/{PROPERTY_NAME}",
                    headers=HEADERS)
print("Property exists" if resp.status_code == 200 else "Property does not exist yet")

# Check data coverage for classification
for prop_name in ["industry", "numberofemployees"]:
    resp = requests.post(f"{BASE}/crm/v3/objects/companies/search", headers=HEADERS, json={
        "filterGroups": [{"filters": [
            {"propertyName": prop_name, "operator": "NOT_HAS_PROPERTY"},
        ]}],
        "limit": 1,
    })
    print(f"Companies missing {prop_name}: {resp.json()['total']}")
```

## Execute

### Step 1: Create the ICP Tier Property

Choose a property name that fits your CRM conventions (e.g., `company_segment`, `buyer_tier`, or `icp_tier`). The name is configurable -- just be consistent across workflows and lists.

**Via API (recommended):** run `uv run scripts/execute.py`, which posts:

```python
# Configure your property name here
PROPERTY_NAME = "company_segment"

resp = requests.post(f"{BASE}/crm/v3/properties/companies", headers=HEADERS, json={
    "name": PROPERTY_NAME,
    "label": "ICP Tier",
    "type": "enumeration",
    "fieldType": "select",
    "groupName": "companyinformation",
    "description": "Automated ICP classification based on industry and employee count. "
                   "Set by workflow - do not edit manually.",

From TomGranot/hubspot-admin-skills, MIT.

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    Details

    Version
    1.1
    License
    MIT
    First seen
    Oct 24, 2026
    Last checked
    Oct 24, 2026

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    create-icp-tiers skill. Agent Mart. https://agentmart.dev/skills/tomgranot-create-icp-tiers (last updated 2026-10-24)