Weekly Cleanup Routine logo

Weekly Cleanup Routine

Community
TomGranot
weekly-cleanup-routine

A lightweight 5-minute weekly health check covering bounce monitoring, new contact quality, workflow health, list growth trends, and data quality sampling. Quick early warning system, not a comprehensive audit.

Overview

PublisherTomGranot
Repositoryhubspot-admin-skills
Skill nameweekly-cleanup-routine
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 Weekly Cleanup Routine 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/weekly-cleanup-routine
  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/weekly-cleanup-routine .claude/skills/weekly-cleanup-routine
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Weekly Cleanup Routine 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 Weekly Cleanup Routine 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 Weekly Cleanup Routine 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.

Weekly Cleanup Routine

A fast, 5-minute weekly check that catches problems early. This is not a deep audit — it is a spot-check designed to surface issues before they compound.

Prerequisites

  • HubSpot portal access
  • Bounce monitoring workflow active (run /bounce-monitoring-workflow first)

The 5-Minute Checklist

Stage 1: Before — Open Dashboards

Open HubSpot in your browser. Have the following views ready:

  • Email health dashboard
  • Workflow dashboard
  • Contacts list view (sorted by create date, descending)

Stage 2: Execute — Five Spot Checks

1. Bounce Monitoring (1 min)
  • Check the email_health_flag list. How many contacts were flagged this week?
  • If more than 10, investigate the source (bad import? form spam?).
  • If zero, confirm the workflow is still active.
2. New Contact Quality (1 min)
  • Filter contacts created in the last 7 days.
  • Spot-check 5-10 new contacts. Do they have:
    • Valid email addresses?
    • Company name populated?
    • Lifecycle stage set?
  • If quality is low, check the source (which form, import, or integration created them).
3. Workflow Health (1 min)
  • Open the workflow dashboard. Look for:
    • Any workflows showing errors (red indicators)
    • Any workflows with zero enrollments that should be active
    • Any workflows that were accidentally turned off
4. List Growth Trends (1 min)
  • Check your key segment lists (customers, MQLs, suppressed).
  • Is any list growing or shrinking unexpectedly?
  • A sudden spike in suppressed contacts could indicate a deliverability problem.
5. Data Quality Sample (1 min)
  • Pull 10 random contacts from the database.
  • Check: email, company, lifecycle stage, owner.
  • If more than 2 out of 10 have gaps, flag for a deeper review.

Stage 3: After — Log and Escalate

Keep a simple weekly log (spreadsheet or note):

DateBouncesNew Contact QualityWorkflow IssuesList AnomaliesData Quality
YYYY-MM-DDX flaggedGood/BadNone/DetailsNone/DetailsX/10 complete

Escalate anything that appears two weeks in a row.

Stage 4: Rollback

This is a read-only review — no rollback needed. Any fixes identified are executed through their respective skills.

Scheduling

  • Run every Monday morning.
  • Set a recurring 15-minute calendar block (5 minutes for the check, 10 minutes buffer for any follow-up).
  • If you miss a week, do not double up — just run the next scheduled check.

Frequently asked questions

What does the Weekly Cleanup Routine AI skill do?

A lightweight 5-minute weekly health check covering bounce monitoring, new contact quality, workflow health, list growth trends, and data quality sampling. Quick early warning system, not a comprehensive audit.

Why use Weekly Cleanup Routine on TypingMind?

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

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

Which AI models can use Weekly Cleanup Routine?

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 Weekly Cleanup Routine?

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

Is the Weekly Cleanup Routine 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇