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Pipedrive Automation

Organization
claude-office-skills
Pipedrive Automation

Automate Pipedrive CRM workflows including deal management, pipeline tracking, and sales reporting

Overview

Publisherclaude-office-skills
Repositoryskills
Skill namePipedrive Automation
Stars
514
Forks
97
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 claude-office-skills on GitHub. Read the source before you install it.

Installation

Install the Pipedrive Automation 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/claude-office-skills/skills/tree/main/pipedrive-automation
  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/claude-office-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/pipedrive-automation .claude/skills/claude-office-skills-pipedrive-automation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pipedrive Automation 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 Pipedrive Automation 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 Pipedrive Automation 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.

Pipedrive Automation

Comprehensive skill for automating Pipedrive CRM and sales pipeline management.

Core Workflows

1. Sales Pipeline

PIPEDRIVE PIPELINE FLOW:
┌─────────────────────────────────────────────────────────┐
│                     PIPELINE VIEW                        │
├──────────┬──────────┬──────────┬──────────┬────────────┤
│  Lead    │ Contact  │ Proposal │ Negoti-  │   Won/     │
│  In      │  Made    │  Sent    │  ation   │   Lost     │
├──────────┼──────────┼──────────┼──────────┼────────────┤
│ $15,000  │ $45,000  │ $80,000  │ $35,000  │ $125,000   │
│ 5 deals  │ 8 deals  │ 6 deals  │ 3 deals  │ 12 deals   │
├──────────┼──────────┼──────────┼──────────┼────────────┤
│ ┌──────┐ │ ┌──────┐ │ ┌──────┐ │ ┌──────┐ │            │
│ │Acme  │ │ │Tech  │ │ │StartX│ │ │BigCo │ │            │
│ │$5,000│ │ │$12K  │ │ │$25K  │ │ │$20K  │ │            │
│ └──────┘ │ └──────┘ │ └──────┘ │ └──────┘ │            │
└──────────┴──────────┴──────────┴──────────┴────────────┘

2. Automation Triggers

yaml
automations:
  - name: new_deal_setup
    trigger:
      type: deal_created
    actions:
      - create_activity:
          type: call
          subject: "Initial discovery call"
          due_days: 1
      - send_email:
          template: welcome_sequence
      - add_label: "New"
      
  - name: stage_progression
    trigger:
      type: deal_stage_changed
      to_stage: "Proposal Sent"
    actions:
      - create_activity:
          type: task
          subject: "Follow up on proposal"
          due_days: 3
      - update_custom_field:
          field: "Proposal Date"
          value: "{{today}}"
          
  - name: stale_deal_alert
    trigger:
      type: deal_rotting
      days: 14
    actions:
      - send_notification:
          to: owner
          message: "Deal hasn't moved in 14 days"
      - add_label: "At Risk"

Deal Management

Deal Configuration

yaml
deal_structure:
  required_fields:
    - title
    - value
    - organization
    - stage
    - owner
    
  custom_fields:
    - name: "Lead Source"
      type: enum
      options:
        - "Inbound - Website"
        - "Inbound - Referral"
        - "Outbound - Cold"
        - "Event"
        - "Partner"
        
    - name: "Product Interest"
      type: set
      options:
        - "Product A"
        - "Product B"
        - "Services"
        
    - name: "Decision Timeline"
      type: enum
      options:
        - "< 1 month"
        - "1-3 months"
        - "3-6 months"
        - "6+ months"
        
    - name: "Proposal Amount"
      type: monetary
      
    - name: "Close Probability"
      type: numeric
      format: percentage

Pipeline Stages

yaml
pipeline_config:
  name: "Sales Pipeline"
  
  stages:
    - name: "Lead In"
      probability: 10%
      rotting_days: 7
      
    - name: "Contact Made"
      probability: 20%
      rotting_days: 10
      
    - name: "Needs Defined"
      probability: 40%
      rotting_days: 14
      
    - name: "Proposal Sent"
      probability: 60%
      rotting_days: 14
      
    - name: "Negotiation"
      probability: 80%
      rotting_days: 7
      
    - name: "Won"
      probability: 100%
      
    - name: "Lost"
      probability: 0%

Activity Management

Activity Types

yaml
activity_types:
  - name: "Call"
    icon: phone
    default_duration: 15
    
  - name: "Meeting"
    icon: calendar
    default_duration: 60
    
  - name: "Email"
    icon: mail
    default_duration: 5
    
  - name: "Task"
    icon: checkbox
    default_duration: 30
    
  - name: "Demo"
    icon: presentation
    default_duration: 45

Activity Automation

yaml
activity_workflows:
  discovery_call_complete:
    trigger:
      activity_type: call
      marked_done: true
      deal_stage: "Lead In"
    actions:
      - move_deal_stage: "Contact Made"
      - create_activity:
          type: task
          subject: "Send follow-up email"
          due_days: 1
      - update_deal:
          custom_field: "First Contact Date"
          value: "{{activity.done_time}}"
          
  meeting_scheduled:
    trigger:
      activity_type: meeting
      created: true
    actions:
      - send_email:
          template: meeting_confirmation
          to: "{{deal.contact}}"
      - create_activity:
          type: task
          subject: "Prepare meeting agenda"
          due_before_meeting: 1_day

Email Integration

Email Templates

yaml
email_templates:
  - name: "Initial Outreach"
    subject: "{{company}} + {{prospect_company}}"
    body: |
      Hi {{first_name}},
      
      I noticed {{company_insight}} and thought 
      {{value_proposition}}.
      
      Would you be open to a 15-minute call this week?
      
      Best,
      {{sender_name}}
      
  - name: "Proposal Follow-up"
    subject: "Following up on our proposal"
    body: |
      Hi {{first_name}},
      
      I wanted to follow up on the proposal I sent 
      on {{proposal_date}}.
      
      Do you have any questions I can help answer?
      
      Best,
      {{sender_name}}

Email Tracking

yaml
email_tracking:
  features:
    - open_tracking
    - link_tracking
    - attachment_tracking
    
  automations:
    on_email_opened:
      - create_activity:
          type: task
          subject: "Follow up - Email opened"
          due_hours: 2
          
    on_link_clicked:
      - add_note: "Clicked link: {{link_url}}"
      - update_custom_field:
          field: "Engagement Level"
          value: "High"

Reporting & Analytics

Sales Dashboard

SALES DASHBOARD - JANUARY 2024
═══════════════════════════════════════

PIPELINE VALUE: $175,000
WEIGHTED: $89,500

BY STAGE:
Lead In       ████░░░░░░░░░░░░ $15,000
Contact Made  ████████░░░░░░░░ $45,000
Proposal      ████████████░░░░ $80,000
Negotiation   ██████░░░░░░░░░░ $35,000

SALES VELOCITY:
Deals Closed:     12
Average Value:    $10,400
Win Rate:         28%
Sales Cycle:      34 days

BY REP:
┌────────────┬────────┬──────────┬───────┐
│ Rep        │ Deals  │ Value    │ Win % │
├────────────┼────────┼──────────┼───────┤
│ Sarah      │ 5      │ $52,000  │ 35%   │
│ Mike       │ 4      │ $41,000  │ 28%   │
│ Lisa       │ 3      │ $32,000  │ 22%   │
└────────────┴────────┴──────────┴───────┘

FORECAST:
This Month:   $45,000 (weighted)
Next Month:   $68,000 (weighted)

Win/Loss Analysis

yaml
win_loss_tracking:
  won_reasons:
    - "Best product fit"
    - "Competitive pricing"
    - "Relationship/trust"
    - "Implementation timeline"
    
  lost_reasons:
    - "Price too high"
    - "Chose competitor"
    - "No budget"
    - "No decision made"
    - "Lost contact"
    
  analysis:
    win_rate_by_source:
      inbound: 35%
      outbound: 18%
      referral: 45%
      
    win_rate_by_size:
      small: 42%
      medium: 28%
      enterprise: 15%

Integration Workflows

Slack Integration

yaml
slack_notifications:
  - trigger: deal_won
    channel: "#wins"
    message: |
      🎉 *Deal Won!*
      *Company:* {{organization.name}}
      *Value:* ${{deal.value}}
      *Owner:* {{deal.owner}}
      
  - trigger: deal_stage_changed
    to_stage: "Negotiation"
    channel: "#sales"
    message: |
      📊 Deal moving to negotiation
      {{deal.title}} - ${{deal.value}}
      
  - trigger: activity_overdue
    notify: owner_dm
    message: |
      ⚠️ Overdue activity: {{activity.subject}}

Calendar Sync

yaml
calendar_integration:
  provider: google_calendar
  
  sync_settings:
    meetings: bidirectional
    calls: to_calendar
    
  automations:
    on_calendar_event:
      - create_activity:
          type: meeting
          link_to: attendee_organization

API Examples

Deal Operations

javascript
// Create Deal
const deal = await pipedrive.deals.create({
  title: "Acme Corp - Enterprise Plan",
  value: 50000,
  currency: "USD",
  org_id: 123,
  person_id: 456,
  stage_id: 1,
  expected_close_date: "2024-02-28",
  custom_fields: {
    "Lead Source": "Inbound - Website",
    "Decision Timeline": "1-3 months"
  }
});

// Update Deal Stage
await pipedrive.deals.update(deal.id, {
  stage_id: 3  // Move to "Proposal Sent"
});

// Add Activity
await pipedrive.activities.create({
  deal_id: deal.id,
  type: "call",
  subject: "Discovery call",
  due_date: "2024-01-20",
  due_time: "14:00"
});

// Mark Activity Done
await pipedrive.activities.update(activityId, {
  done: true,
  note: "Great call, moving forward with proposal"
});

Best Practices

  1. Stage Discipline: Clear criteria for each stage
  2. Activity Logging: Document all interactions
  3. Pipeline Hygiene: Regular deal reviews
  4. Rotting Alerts: Don't let deals stagnate
  5. Custom Fields: Track key data points
  6. Templates: Consistent communication
  7. Reporting: Weekly pipeline reviews
  8. Integration: Connect all touchpoints

Frequently asked questions

What does the Pipedrive Automation AI skill do?

Automate Pipedrive CRM workflows including deal management, pipeline tracking, and sales reporting

Why use Pipedrive Automation on TypingMind?

Because you install it once and use it with any model. Pipedrive Automation 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 Pipedrive Automation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-office-skills/skills/tree/main/pipedrive-automation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pipedrive Automation?

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 Pipedrive Automation?

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

Is the Pipedrive Automation AI skill free?

Yes. It is published on GitHub by claude-office-skills 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.

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