crm cleanup data quality planner pro

    1

    Diagnose CRM architecture issues and generate prioritized data quality remediation plans and governance frameworks.

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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    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

    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

    PriorityCategoryAction ItemSuccess Metric
    HighLifecycleMap 40+ statuses into 5 core stages: New, Working, MQL, SQL, Closed.< 5% mapping error rate
    HighDeduplicationMerge contacts by Email + Company Domain; prioritize records with most recent Activity.0 duplicate entries
    MedOwnershipAuto-assign leads > 90 days with no activity to 'General Pool' or 'Marketing Nurture'.100% lead coverage
    MedGovernanceImplement validation rules on 'Lead Source' to prevent 'Other' category bloat.< 2% 'Other' source usage
    LowArchivalExport and delete contacts with no engagement in 24 months per GDPR policy.Reduced DB size by ~12%

    Governance Framework Proposal

    1. Naming Conventions: All new custom properties must use prefix_property_name (e.g., sales_demo_date).
    2. Mandatory Fields: Require 'Industry' and 'Company Size' at the SQL stage to ensure reporting accuracy.
    3. 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.

    Connects securely to your tools. The creator never sees your data.

    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.

    Requires structured CRM audit data or schema exports as input. Does not perform automated write actions to CRM APIs directly.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed2 months ago

    What's inside

    Frequently Asked Questions

    This skill analyzes your current CRM structure to identify redundant fields, stale data, and inconsistent stage mappings, providing a prioritized roadmap to restore data integrity and reporting accuracy.

    The skill is designed to work with any high-reasoning AI agent (such as GPT-4 or Claude 3.5 Sonnet) capable of processing CSV exports or architectural schema descriptions.

    You will receive the proprietary diagnostic framework, systematic execution prompts, a governance template, and a QA checklist to ensure your cleanup doesn't break existing integrations.

    No, this skill functions as a strategic architect; it provides the logic and mapping plans which you or your admin then apply via your CRM’s import/export tools or API.

    Yes, the logic is built to handle complex relational data, including custom objects and cross-object dependencies that standard cleanup prompts often overlook.

    Updates are included for the lifetime of the version purchased, ensuring the logic remains compatible with the latest CRM platform updates and data privacy regulations.

    New in Business & Operations