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Cleanup Properties

Community
TomGranot
cleanup-properties

Archive or delete unused custom properties across all HubSpot object types (contacts, companies, deals). Identifies Salesforce sync properties, test/temp properties, and obsolete form fields.

Overview

PublisherTomGranot
Repositoryhubspot-admin-skills
Skill namecleanup-properties
Stars
79
Forks
18
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by TomGranot on GitHub. Read the source before you install it.

Installation

Install the Cleanup Properties AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/TomGranot/hubspot-admin-skills/tree/main/skills/cleanup-properties
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TomGranot/hubspot-admin-skills.git /tmp/hubspot-admin-skills
mkdir -p .claude/skills
cp -r /tmp/hubspot-admin-skills/skills/cleanup-properties .claude/skills/cleanup-properties
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cleanup Properties in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cleanup Properties on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cleanup Properties is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cleanup Properties

Remove or archive unused custom properties. Property bloat slows down forms, confuses users, and makes data mapping harder.

Prerequisites

  • A HubSpot service key (HUBSPOT_ACCESS_TOKEN in .env; an existing legacy private app token also works) with crm.schemas.*.read and crm.schemas.*.write scopes
  • Python 3.10+ with uv

Step-by-Step Instructions

Stage 1: Plan

Confirm with the user before starting:

  1. Archive-first policy (recommended) or direct deletion for clearly dead test properties?
  2. Is a Salesforce (or other CRM) sync active? If yes, get the sync property mapping before touching anything.

Stage 2: Before

Inventory custom properties for each object type via the Properties API (v3):

python
import os, requests
from dotenv import load_dotenv

load_dotenv()
TOKEN = os.environ["HUBSPOT_ACCESS_TOKEN"]
BASE = "https://api.hubapi.com"
HEADERS = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}

for obj_type in ["contacts", "companies", "deals"]:
    resp = requests.get(f"{BASE}/crm/v3/properties/{obj_type}", headers=HEADERS)
    resp.raise_for_status()
    custom_props = [p for p in resp.json()["results"] if not p.get("hubspotDefined")]

For each custom property, record: name, label, object type, type, group, number of records with a value (requires search queries), whether it is used in any form/workflow/list.

Stage 3: Execute

Safe to delete:

  • Properties with zero populated records and not used in any form, workflow, or list
  • Properties with names containing "test", "temp", "old_", "copy_of"
  • Properties created by deactivated integrations

Handle with care:

  • Salesforce sync properties (hs_salesforce_* prefix or mapped in sync settings) — do not delete without coordinating with the Salesforce admin
  • Form fields — check if the property is used on any active form before deleting
  • Workflow dependencies — check if any workflow reads or sets this property
  • Calculated properties — check if other calculated properties reference this one

Archive instead of delete when:

  • The property has historical data that might be needed for reporting
  • You are unsure whether anything depends on it

Archive candidates via DELETE /crm/v3/properties/{objectType}/{propertyName} (this archives — the property moves to the archived state) after presenting the list to the user and getting explicit confirmation.

Stage 4: After

  1. Archive properties first (HubSpot supports property archiving).
  2. Wait 30 days, then delete archived properties that caused no issues.
  3. Document all changes in a cleanup log.

Rollback

  • Archived properties can be unarchived at any time.
  • Deleted properties cannot be restored. The property definition and all associated data are permanently lost.
  • Always archive before deleting to provide a safety window.

Tips

  • Run this quarterly as part of the database cleanup routine.
  • Establish a property naming convention going forward (e.g., team_purpose_detail).
  • Limit who can create custom properties to prevent sprawl.
  • HubSpot has a property limit per object type — cleanup prevents hitting it.

Frequently asked questions

What does the Cleanup Properties AI skill do?

Archive or delete unused custom properties across all HubSpot object types (contacts, companies, deals). Identifies Salesforce sync properties, test/temp properties, and obsolete form fields.

Why use Cleanup Properties on TypingMind?

Because you install it once and use it with any model. Cleanup Properties is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cleanup Properties in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TomGranot/hubspot-admin-skills/tree/main/skills/cleanup-properties. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cleanup Properties?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cleanup Properties?

As many as you like. As long as a model supports skills, you can use Cleanup Properties with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cleanup Properties AI skill free?

Yes. It is published on GitHub by TomGranot under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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