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crm-automation

by @claude-office-skillsv
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Implements workflow automation for CRM systems like HubSpot, Salesforce, and Pipedrive, enhancing sales efficiency and customer relationship management.

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Installation
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Before / After Comparison

1
Before

Sales teams manually manage leads, customers, and tasks in CRM systems like HubSpot and Salesforce, which is time-consuming, error-prone, and inefficient.

After

Automate CRM workflows to automatically handle lead management, customer communication, and task assignment, significantly improving the sales team's efficiency and accuracy.

SKILL.md

CRM Automation

Automate CRM workflows for HubSpot, Salesforce, and Pipedrive including lead management, deal tracking, pipeline automation, and multi-CRM synchronization. Based on n8n workflow templates.

Overview

This skill covers:

  • Lead capture and enrichment automation
  • Deal stage progression workflows
  • Multi-CRM data synchronization
  • Automated follow-up sequences
  • Sales analytics and reporting

Core Workflow Patterns

1. Lead Capture → Enrichment → Assignment

┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│ Lead Source │───▶│ Enrich Data │───▶│ Score Lead  │───▶│ Route to    │
│ (Form/API)  │    │ (Clearbit)  │    │ (AI/Rules)  │    │ Sales Rep   │
└─────────────┘    └─────────────┘    └─────────────┘    └─────────────┘
                                                                │
                         ┌─────────────┐    ┌─────────────┐    │
                         │ Start       │◀───│ Create in   │◀───┘
                         │ Sequence    │    │ CRM         │
                         └─────────────┘    └─────────────┘

n8n Configuration:

workflow: "Lead Capture to CRM"

trigger:
  - type: webhook
    event: form_submission
    source: [website, landing_page, calendly]

steps:
  1. capture_lead:
      fields: [email, name, company, phone, source]
  
  2. enrich_data:
      provider: clearbit
      lookup_by: email
      append: [company_size, industry, title, linkedin]
  
  3. score_lead:
      model: ai_scoring  # or rule-based
      factors:
        - company_size: {1-50: 10, 51-200: 20, 201+: 30}
        - industry_fit: {high: 30, medium: 20, low: 10}
        - title_seniority: {c-level: 30, director: 20, manager: 10}
      threshold: 50  # MQL threshold
  
  4. route_lead:
      rules:
        - if: score >= 80 AND industry == "tech"
          assign_to: "Enterprise Team"
        - if: score >= 50
          assign_to: "SMB Team"
        - else:
          assign_to: "Marketing Nurture"
  
  5. create_in_crm:
      platform: hubspot
      object: contact
      properties:
        email: "{email}"
        firstname: "{first_name}"
        company: "{company}"
        lead_score: "{score}"
        lead_source: "{source}"
  
  6. start_sequence:
      if: score >= 50
      sequence: "New Lead Welcome"
      delay: 1_hour

2. Deal Stage Automation

workflow: "Deal Stage Progression"

trigger:
  - type: hubspot_deal_updated
    property: dealstage

stages:
  appointment_scheduled:
    actions:
      - create_task: "Prepare for meeting"
        due: 1_day_before_meeting
      - notify_slack: "#sales-pipeline"
      - update_property: last_activity_date
  
  qualified_to_buy:
    actions:
      - create_task: "Send proposal"
        due: 3_days
      - notify_manager: true
      - add_to_forecast: true
  
  presentation_scheduled:
    actions:
      - create_task: "Prepare demo environment"
      - send_reminder: 1_hour_before
      - log_activity: "Presentation scheduled"
  
  contract_sent:
    actions:
      - set_close_date: 14_days_from_now
      - create_task: "Follow up on contract"
        due: 7_days
      - notify_legal: if amount > 50000
  
  closed_won:
    actions:
      - notify_slack: "#wins"
      - trigger_onboarding: true
      - update_forecast: remove
      - celebrate: confetti  # Slack celebration
  
  closed_lost:
    actions:
      - log_loss_reason: required
      - add_to_nurture: true
      - schedule_reengagement: 90_days

3. Multi-CRM Synchronization

workflow: "HubSpot + Salesforce + Pipedrive Sync"

sync_rules:
  contacts:
    master: hubspot
    sync_to: [salesforce, pipedrive]
    frequency: real_time
    fields:
      - email (unique_key)
      - name
      - company
      - phone
      - owner
    conflict_resolution: most_recent_wins
    deduplication: 
      provider: openai
      similarity_threshold: 0.85
  
  deals:
    master: salesforce
    sync_to: [hubspot, pipedrive]
    frequency: every_15_minutes
    field_mapping:
      salesforce.Opportunity.Amount → hubspot.deal.amount
      salesforce.Opportunity.CloseDate → hubspot.deal.closedate
      salesforce.Opportunity.StageName → hubspot.deal.dealstage
  
  activities:
    aggregate_to: google_sheets
    types: [calls, emails, meetings, notes]
    columns: [date, contact, type, summary, outcome]

n8n Implementation:

// Multi-CRM Sync Node
{
  "nodes": [
    {
      "name": "Get HubSpot Contacts",
      "type": "n8n-nodes-base.hubspot",
      "parameters": {
        "operation": "getAll",
        "limit": 100,
        "additionalFields": {
          "propertiesToInclude": ["email", "firstname", "lastname", "company"]
        }
      }
    },
    {
      "name": "Get Salesforce Contacts",
      "type": "n8n-nodes-base.salesforce",
      "parameters": {
        "operation": "getAll",
        "sobject": "Contact"
      }
    },
    {
      "name": "Deduplicate with OpenAI",
      "type": "n8n-nodes-base.openAi",
      "parameters": {
        "operation": "message",
        "model": "gpt-4",
        "prompt": "Compare these contacts and identify duplicates: {{$json}}"
      }
    },
    {
      "name": "Sync to Master Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "parameters": {
        "operation": "append",
        "sheetId": "your-sheet-id"
      }
    }
  ]
}

Lead Scoring Model

Rule-Based Scoring

lead_score_rules:
  demographic:
    job_title:
      - C-Level|VP|Director: +30
      - Manager|Head: +20
      - Individual Contributor: +10
    
    company_size:
      - 1-50: +10
      - 51-200: +20
      - 201-1000: +25
      - 1000+: +30
    
    industry:
      - Technology|SaaS: +30
      - Finance|Healthcare: +25
      - Manufacturing|Retail: +15
  
  behavioral:
    website_visits:
      - 1-2: +5
      - 3-5: +10
      - 6+: +20
    
    content_downloads:
      - Whitepaper: +15
      - Case Study: +20
      - Pricing Page: +25
    
    email_engagement:
      - Opened: +5
      - Clicked: +10
      - Replied: +20

thresholds:
  - MQL: 50
  - SQL: 75
  - Hot Lead: 90

AI-Based Scoring

ai_scoring_model:
  provider: openai
  prompt: |
    Score this lead from 0-100 based on:
    - Fit with our ICP (ideal customer profile)
    - Buying intent signals
    - Budget authority
    - Timeline urgency
    
    Lead Data: {lead_data}
    ICP: B2B SaaS companies, 50-500 employees, Series A+
    
    Return JSON: {"score": X, "reasoning": "...", "next_action": "..."}

Automated Sequences

Sequence 1: New Lead Welcome

sequence: "New Lead Welcome"
trigger: lead_created AND score >= 50

steps:
  - day_0:
      type: email
      template: "welcome_intro"
      subject: "Welcome to {Company} - Here's what's next"
  
  - day_2:
      type: email
      template: "value_prop"
      subject: "How {Similar_Company} achieved {Result}"
      condition: not_replied
  
  - day_4:
      type: task
      action: "LinkedIn connection request"
      assign_to: owner
  
  - day_7:
      type: email
      template: "case_study"
      subject: "Quick case study for {Lead_Company}"
      condition: not_replied
  
  - day_10:
      type: email
      template: "meeting_request"
      subject: "15 min to discuss {Pain_Point}?"
      include: calendly_link
  
  - day_14:
      type: task
      action: "Phone call attempt"
      assign_to: owner
      condition: not_responded

Sequence 2: Deal Follow-Up

sequence: "Proposal Follow-Up"
trigger: deal_stage == "contract_sent"

steps:
  - day_3:
      type: email
      template: "contract_check_in"
      subject: "Any questions about the proposal?"
  
  - day_7:
      type: task
      action: "Phone call - contract follow-up"
  
  - day_10:
      type: email
      template: "deadline_reminder"
      subject: "Pricing valid until {deadline}"
      condition: not_responded
  
  - day_14:
      type: alert
      notify: sales_manager
      message: "Deal stuck in contract stage"

Integration Recipes

Recipe 1: Calendly → HubSpot

trigger: calendly.booking_created

actions:
  1. search_contact:
      hubspot.search: email == calendly.invitee_email
  
  2. create_or_update:
      if: contact_exists
        hubspot.update_contact:
          last_meeting_booked: calendly.start_time
      else:
        hubspot.create_contact:
          email: calendly.invitee_email
          firstname: calendly.invitee_name
          lifecycle_stage: "salesqualifiedlead"
  
  3. create_meeting:
      hubspot.create_engagement:
        type: MEETING
        scheduled_time: calendly.start_time
        title: calendly.event_name
  
  4. notify:
      slack.send:
        channel: "#sales"
        message: "Meeting booked: {name} at {time}"

Recipe 2: LinkedIn → HubSpot

trigger: linkedin.connection_accepted

actions:
  1. enrich:
      linkedin.get_profile: connection_id
  
  2. create_contact:
      hubspot.create:
        email: linkedin.email
        firstname: linkedin.first_name
        lastname: linkedin.last_name
        jobtitle: linkedin.title
        company: linkedin.company
        linkedin_url: linkedin.profile_url
        lead_source: "LinkedIn"
  
  3. add_to_sequence:
      if: title contains ["CEO", "CTO", "VP"]
      sequence: "LinkedIn C-Level Outreach"

Reporting Templates

Weekly Sales Report

# Sales Pipeline Report - Week {week_number}

## Pipeline Summary
| Stage | Deals | Value | Change |
|-------|-------|-------|--------|
| New | 15 | $150K | +5 |
| Qualified | 8 | $120K | +2 |
| Proposal | 5 | $85K | -1 |
| Negotiation | 3 | $45K | +1 |
| **Total Pipeline** | **31** | **$400K** | **+7** |

## This Week's Activity
- New leads: 45
- Meetings held: 12
- Proposals sent: 4
- Deals closed: 2 ($35K)

## Team Performance
| Rep | Meetings | Proposals | Closed |
|-----|----------|-----------|--------|
| Alice | 5 | 2 | 1 |
| Bob | 4 | 1 | 1 |
| Carol | 3 | 1 | 0 |

## Forecast
- Commit: $45K (3 deals)
- Best Case: $85K (5 deals)
- Pipeline: $400K (31 deals)

## Actions Needed
- [ ] Follow up on 3 stale deals (>14 days no activity)
- [ ] Schedule demo for Enterprise Lead X
- [ ] Send revised proposal to Company Y

Best Practices

Data Hygiene

data_hygiene_rules:
  - deduplicate: weekly
    method: email_match + company_fuzzy_match
  
  - validate_emails: on_create
    action: remove_invalid
  
  - enrich_missing: daily
    fields: [company, title, linkedin]
  
  - archive_stale: monthly
    criteria: no_activity > 180_days
    action: move_to_archive

Security

security_practices:
  - api_keys: rotate_quarterly
  - access_control: role_based
  - audit_log: all_changes
  - pii_handling: encrypt_at_rest
  - gdpr_compliance: consent_tracking

CRM Automation Skill - Part of Claude Office Skills

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Updated2026年5月22日
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Timeline

Created2026年3月17日
Last Updated2026年5月22日