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- crm cleanup data quality planner pro
crm cleanup data quality planner pro
Diagnose CRM architecture issues and generate prioritized data quality remediation plans and governance frameworks.
$5
Works with the AI tools you already use
crm cleanup data quality planner pro
Example session with this skill installed
Audit our HubSpot instance: we have 40+ custom lead statuses, 15% duplicate contacts, and no clear ownership for leads older than 90 days. We need a cleanup plan.
- Read your context and instructions
- Compiled the crm cleanup data
- Generated the document
I have analyzed your CRM audit data. The primary bottlenecks are lead status fragmentation and the lack of a defined sunset policy for stale records.
CRM Data Remediation Plan
| Priority | Category | Action Item | Success Metric |
|---|---|---|---|
| High | Lifecycle | Map 40+ statuses into 5 core stages: New, Working, MQL, SQL, Closed. | < 5% mapping error rate |
| High | Deduplication | Merge contacts by Email + Company Domain; prioritize records with most recent Activity. | 0 duplicate entries |
| Med | Ownership | Auto-assign leads > 90 days with no activity to 'General Pool' or 'Marketing Nurture'. | 100% lead coverage |
| Med | Governance | Implement validation rules on 'Lead Source' to prevent 'Other' category bloat. | < 2% 'Other' source usage |
| Low | Archival | Export and delete contacts with no engagement in 24 months per GDPR policy. | Reduced DB size by ~12% |
Governance Framework Proposal
- Naming Conventions: All new custom properties must use
prefix_property_name(e.g.,sales_demo_date). - Mandatory Fields: Require 'Industry' and 'Company Size' at the SQL stage to ensure reporting accuracy.
- Monthly Audit: Automated report sent to Ops every 30 days flagging records missing 'Owner' values.
Next steps
- Review the proposed mapping of the 40 custom lead statuses to ensure no sales workflows are interrupted.
- Run a trial deduplication on a subset of 100 records to verify merge logic.
- Establish the 'General Pool' user account in HubSpot for stale lead reassignment.
crm-cleanup-data-quality-planner-pro.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Messy CRM data leads to inaccurate forecasting, failed marketing automations, and sales team frustration. Manually auditing thousands of records and inconsistent field mappings is prone to human error and takes weeks of engineering time.
What it does
- Identifies stale data and defines retention policies to reduce database clutter.
- Standardizes lifecycle states and pipeline stages for accurate funnel reporting.
- Develops a tag taxonomy to fix fragmented segmentation and categorization.
- Prioritizes migration-safe corrections to prevent breaking existing integrations.
- Creates governance frameworks including QA checklists and team adoption requirements.
Why this beats prompting it yourself
Generic prompts often miss the technical dependencies between CRM objects, leading to cleanup plans that break workflows. This skill applies a systematic architecture diagnosis that considers reporting logic and data integrity constraints simultaneously.
Use cases
- Preparing a legacy HubSpot or Salesforce instance for a major platform migration.
- Auditing field usage to consolidate redundant custom objects and properties.
- Designing a standardized lead-to-account mapping for a growing B2B sales team.
- Restructuring pipeline stages to align with new revenue operations reporting.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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Verified clean 18 days ago
- Passed all security checks, Safe to install