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Cleanup Workflows

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TomGranot
cleanup-workflows

Audit and remove inactive, test, or deprecated workflows from HubSpot. Identifies workflows that have never enrolled contacts, workflows turned off for 90+ days, and test workflows.

Overview

PublisherTomGranot
Repositoryhubspot-admin-skills
Skill namecleanup-workflows
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 Workflows 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-workflows
  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-workflows .claude/skills/cleanup-workflows
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cleanup Workflows 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 Workflows 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 Workflows 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 Workflows

Audit HubSpot workflows to remove dead weight. Unused workflows clutter the automation dashboard and make it harder to understand what is actually running.

Prerequisites

  • A HubSpot service key (HUBSPOT_ACCESS_TOKEN in .env; an existing legacy private app token also works) with the automation scope
  • Python 3.10+ with uv
  • Note: The Automation API may return 403 on some plan tiers. If so, audit manually in HubSpot UI under Automation > Workflows.
  • Strongly recommended: run /workflows-as-code first to export a JSON backup of every workflow — deleted workflows cannot be restored, but an export lets you recreate them via the API.

Step-by-Step Instructions

Stage 1: Plan

Confirm with the user before starting:

  1. Archive-first policy: turn off, wait a week, then delete (recommended)?
  2. Any workflows that must never be touched (compliance, integrations)?

Stage 2: Before

Inventory all workflows via the v4 Automation API:

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"}

flows, after = [], None
while True:
    params = {"limit": 100}
    if after:
        params["after"] = after
    resp = requests.get(f"{BASE}/automation/v4/flows", headers=HEADERS, params=params)
    resp.raise_for_status()
    data = resp.json()
    flows.extend(data.get("results", []))
    after = data.get("paging", {}).get("next", {}).get("after")
    if not after:
        break

For each workflow, record: flow ID, name, enabled status, type, created date, last updated date. Enrollment counts are visible in the UI (Automation > Workflows > Details).

Stage 3: Execute

Flag workflows matching any of these criteria:

  1. Turned off for 90+ days with no plans to reactivate
  2. Zero enrollments ever (likely test or abandoned drafts)
  3. Test workflows (names containing "test", "temp", "copy of", "draft")
  4. Superseded workflows replaced by newer versions
  5. Error state workflows that have been failing consistently

Before deleting, check:

  • Does the workflow feed into another workflow (via enrollment trigger or go-to-workflow action)?
  • Does the workflow set properties that other workflows depend on?
  • Is there any documentation referencing this workflow?

Present the candidate list to the user and wait for explicit confirmation. Then, for confirmed candidates: turn each workflow off first (in the UI, or PUT /automation/v4/flows/{flowId} with isEnabled: false — the PUT requires the current revisionId), wait one week, then delete via DELETE /automation/v4/flows/{flowId} or the UI.

Stage 4: After

  1. Re-run the inventory and confirm the deleted workflows are gone.
  2. Document deleted workflows in a cleanup log (name, purpose, reason for deletion).
  3. Notify workflow owners.

Rollback

  • Deleted workflows cannot be restored in HubSpot.
  • A /workflows-as-code export taken beforehand contains each workflow's full JSON definition — recreate a deleted workflow with POST /automation/v4/flows from its export.
  • HubSpot retains workflow activity history on contact records even after the workflow is deleted.

Tips

  • Use folders in the workflows dashboard to organize by team, purpose, or status.
  • Prefix draft/test workflows with "[TEST]" so they are easy to identify later.
  • Review workflows quarterly as part of the database cleanup routine.

Frequently asked questions

What does the Cleanup Workflows AI skill do?

Audit and remove inactive, test, or deprecated workflows from HubSpot. Identifies workflows that have never enrolled contacts, workflows turned off for 90+ days, and test workflows.

Why use Cleanup Workflows on TypingMind?

Because you install it once and use it with any model. Cleanup Workflows 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 Workflows in TypingMind?

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

Which AI models can use Cleanup Workflows?

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 Workflows?

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

Is the Cleanup Workflows 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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