Skip to content
All Skills

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.

Business, Marketing & Sales|v1|Updated 7/14/2026|GitHub source
MCP get_skill({ skillId: "weekly-cleanup-routine-a363066d" })

Use this skill with your agent

Create a free account and connect via MCP

Get Started Free
# 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):

| Date | Bounces | New Contact Quality | Workflow Issues | List Anomalies | Data Quality |
|------|---------|-------------------|-----------------|----------------|--------------|
| YYYY-MM-DD | X flagged | Good/Bad | None/Details | None/Details | X/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.
#work-life#crm#hubspot#sales-ops#marketing-ops#data-cleanup#project#managementhubspot

Related Skills

More skills in Business, Marketing & Sales

Ab Testing

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.

#work-life#productivityMIT

Ab Test Setup

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.

#work-life#productivityMIT

Ab Test Setup

Ab Test Setup linked from Corey Haines marketing skills, with the upstream skill instructions available on GitHub.

#work-life#productivityMIT

Ab Test Store Listing

When the user wants to A/B test App Store product page elements to improve conversion rate. Also use when the user mentions "A/B test", "product page optimization", "test my screenshots", "test my icon", "conversion rate optimization", "CPP", or "custom product pages". For screenshot design, see screenshot-optimization. For metadata optimization, see metadata-optimization.

#work-life#productivityMIT

Account Research

Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".

#work-life#productivityApache-2.0

Account Research

Research a company using Common Room data. Triggers on 'research [company]', 'tell me about [domain]', 'pull up signals for [account]', 'what's going on with [company]', or any account-level question.

#work-life#productivityApache-2.0