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Engagement Suppression Workflow

Community
TomGranot
engagement-suppression-workflow

Build a two-tier sunset workflow that re-engages dormant contacts before suppressing them. Tier 1 triggers a re-engagement campaign after a configurable inactivity window. Tier 2 suppresses contacts that fail to re-engage within a configurable re-engagement window.

Overview

PublisherTomGranot
Repositoryhubspot-admin-skills
Skill nameengagement-suppression-workflow
Stars
79
Forks
18
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Engagement Suppression Workflow 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/engagement-suppression-workflow
  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/engagement-suppression-workflow .claude/skills/engagement-suppression-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Engagement Suppression Workflow 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 Engagement Suppression Workflow 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 Engagement Suppression Workflow 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.

Engagement-Based Suppression Workflow

Build a two-tier sunset system that protects email deliverability while giving disengaged contacts a fair chance to re-engage before suppression.

Why Two Tiers Matter

Suppressing contacts immediately after inactivity is aggressive and loses potential re-activations. A two-tier approach:

  • Tier 1 (inactive for your sunset window — typically 120-270 days): Triggers a re-engagement campaign — a last chance to interact.
  • Tier 2 (your re-engagement window after Tier 1 — typically 21-45 days — with still no engagement): Suppresses the contact from marketing emails.

This preserves deliverability scores while maximizing the recoverable audience.

Prerequisites

  • HubSpot Marketing Professional or Enterprise plan
  • A HubSpot service key (HUBSPOT_ACCESS_TOKEN in .env; an existing legacy private app token also works) with the automation scope (for the API path)
  • Python 3.10+ with uv
  • A re-engagement email campaign or sequence ready to send
  • A custom dropdown property to track suppression status (default: engagement_flag — the execute script creates it if missing)

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/engagement-suppression-workflow/ in a clone of the repo).

StageScriptRun with
Beforescripts/before.pyuv run scripts/before.py
Executescripts/execute.pyuv run scripts/execute.py
Afterscripts/after.pyuv run scripts/after.py

before.py inventories existing workflows and checks for name collisions. execute.py creates the engagement_flag property (if missing) and both sunset workflows via POST /automation/v4/flows — always disabled, for review in the UI before enabling. after.py verifies they exist and reports enabled state.

Workflow Design

TRIGGER: Last engagement date > [sunset window] ago
         AND email is known
         AND not globally unsubscribed
         AND [suppression status property] is unknown
              │
              ▼
     ┌────────────────────┐
     │ Set [status prop]   │
     │ = "re-engagement    │
     │    sent"            │
     └────────┬───────────┘
              │
              ▼
     ┌────────────────────┐
     │ Enroll in           │
     │ re-engagement       │
     │ campaign/sequence   │
     └────────┬───────────┘
              │
              ▼
     ┌────────────────────┐
     │ Delay: [re-engage    │
     │  window] days       │
     └────────┬───────────┘
              │
              ▼
     ┌────────────────────┐
     │ IF/THEN BRANCH:     │
     │ Any engagement in   │
     │ re-engage window?   │
     ├──────────┬─────────┘
     │ YES      │ NO
     │          │
     ▼          ▼
   Clear     Set [status prop]
   status    = "suppressed"
   prop      + set non-marketing

Building the Workflow: Two Options

Option A: Create via the v4 Automation API (primary)

API status: HubSpot documents the Workflows API as beta and subject to change. Its current reference is the date-based beta path /automation/v4/2027-03-beta/flows; this skill's scripts still call the unversioned /automation/v4/flows path, which v4's end of support on March 30, 2027 also covers. Creating workflows disabled and reviewing them in the UI is what makes a beta API acceptable here. If a script's create call starts failing, the manual UI build below is the fallback.

The v4 Automation API supports creating workflows programmatically. Instead of one workflow with an if/then branch, the script decomposes the design into two linear workflows — which the API expresses cleanly and which are easier to reason about:

  1. Tier 1 — Flag for Re-engagement: enrollment = last open older than the sunset window (or never) AND email known AND not globally unsubscribed AND flag unknown. Action: set engagement_flag = "re-engagement sent".
  2. Tier 2 — Suppress Non-responders: enrollment = flag = "re-engagement sent" AND still no open/click after sunset + re-engagement windows. Actions: set flag = "suppressed", set marketing contact status to non-marketing.

Run the scripts (configure SUNSET_DAYS, REENGAGE_DAYS, FLAG_PROPERTY in execute.py first):

bash
uv run scripts/before.py
uv run scripts/execute.py

Safety model: both workflows are created with isEnabled: false. Review them in Automation > Workflows, then:

  • Add the "enroll in re-engagement sequence/email" action to Tier 1 (email/sequence IDs are portal-specific).
  • If the script reported it could not include the set-marketing-status action, add "Set marketing contact status" to Tier 2 in the UI (one click).
  • Turn both on, choosing whether to enroll existing contacts.

Payload notes: the scripts use documented v4 action types (0-5 set property; 0-31 set marketing contact status, with automatic fallback if your portal rejects its undocumented field shape). If a filter shape is rejected, HubSpot's own recommendation applies: build the workflow once in the UI, GET /automation/v4/flows/{flowId}, and adapt the script to the exact shapes your portal returns.

Option B: Manual UI Build (single workflow with branch)

Follow the step-by-step instructions in Stage 3 below. This builds the original single-workflow design with the if/then re-engagement branch, and works on portals where the Automation API is unavailable.

Alternatives: HubSpot Breeze AI can scaffold a similar workflow from a prompt, but it creates event-based (OR) triggers instead of filter-based (AND) triggers and cannot configure re-enrollment or "is unknown" conditions — every Breeze-built trigger needs manual verification. The Claude Chrome extension can drive the workflow builder UI directly. Both are secondary to Options A and B.

Step-by-Step Build Instructions

Stage 1: Plan

  1. Choose your sunset window (typically 120-270 days; default 180) and re-engagement window (21-45 days; default 30).
  2. Define "engagement" for the Tier 2 check. Recommended: email open OR email click within the re-engagement window.
  3. Create or identify a re-engagement email/sequence. A simple 1-2 email series asking "Still interested?" with a clear CTA works well.

Stage 2: Before

Run uv run scripts/before.py — it inventories all workflows, flags name collisions with the two planned SUNSET workflows, and writes the inventory CSV baseline.

If building manually, also create your suppression status property (dropdown: "re-engagement sent", "suppressed") if it does not exist — the API path creates it automatically.

Stage 3: Execute

Option A: run uv run scripts/execute.py, then complete the UI review steps listed above.

Option B — manual UI build:

  1. Set enrollment trigger:

    • hs_email_last_open_date is more than your sunset window (typically 120-270 days) ago OR is unknown
    • AND email is known
    • AND hs_email_optout is not true
    • AND your suppression status property is unknown
  2. Action: Set contact property

    • Your suppression status property = "re-engagement sent"
  3. Action: Enroll in re-engagement sequence (or send re-engagement email)

  4. Delay: your re-engagement window (typically 21-45 days)

  5. If/then branch:

    • Condition: hs_email_last_open_date is less than [re-engagement window] days ago OR hs_email_last_click_date is less than [re-engagement window] days ago
    • YES (re-engaged): Set your suppression status property to blank/unknown (clears flag, contact returns to normal)
    • NO (still disengaged): Set your suppression status property = "suppressed" and set hs_marketable_status to non-marketing contact via the "Set marketing contact status" workflow action. (The property itself is read-only via direct API writes — a workflow action is the mechanism, whether the workflow is built in the UI or created via the v4 API.)
  6. Settings:

    • Re-enrollment: OFF
    • Goal: Contact opens or clicks any email (optional — exits workflow early)
  7. Turn on the workflow.

Stage 4: After

  1. Run uv run scripts/after.py (API path) to confirm both workflows exist and report their enabled state.
  2. Spot-check 10-20 contacts that entered the workflow. Confirm:
    • Re-engagement email was sent
    • After the re-engagement window, disengaged contacts were suppressed
    • Re-engaged contacts had their suppression status property cleared (Option B) or never entered Tier 2 (Option A)
  3. Monitor deliverability metrics weekly for the first month.
  4. Track how many contacts re-engage vs. get suppressed — adjust the sunset window if needed.

Rollback

  1. Turn off the workflow.
  2. To reverse suppressions: filter contacts where your suppression status property = "suppressed" and manually set them back to marketing contacts in the UI.
  3. Clear the suppression status property values in bulk if needed.

Tuning

  • Shorten the sunset window (e.g., 90-120 days) for aggressive deliverability improvement.
  • Lengthen the re-engagement window (e.g., 45-60 days) if your email cadence is low.
  • Exclude recent customers — add a filter to skip contacts with lifecycle stage = Customer or with a closed-won deal in the last 12 months.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Engagement Suppression Workflow AI skill do?

Build a two-tier sunset workflow that re-engages dormant contacts before suppressing them. Tier 1 triggers a re-engagement campaign after a configurable inactivity window. Tier 2 suppresses contacts that fail to re-engage within a configurable re-engagement window.

Why use Engagement Suppression Workflow on TypingMind?

Because you install it once and use it with any model. Engagement Suppression Workflow 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 Engagement Suppression Workflow in TypingMind?

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

Which AI models can use Engagement Suppression Workflow?

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 Engagement Suppression Workflow?

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

Is the Engagement Suppression Workflow 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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