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Crm Integration

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manojbajaj95
crm-integration

CRM integration patterns for Close CRM, HubSpot, and Salesforce. Use when: Close CRM, HubSpot, Salesforce, CRM API, lead sync, deal sync, activity logging, CRM webhook, pipeline automation, contact enrichment.

Overview

Publishermanojbajaj95
Repositoryclaude-gtm-plugin
Skill namecrm-integration
Stars
109
Forks
34
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by manojbajaj95 on GitHub. Read the source before you install it.

Installation

Install the Crm Integration 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/manojbajaj95/claude-gtm-plugin/tree/main/skills/crm-integration
  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/manojbajaj95/claude-gtm-plugin.git /tmp/claude-gtm-plugin
mkdir -p .claude/skills
cp -r /tmp/claude-gtm-plugin/skills/crm-integration .claude/skills/crm-integration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Crm Integration 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 Crm Integration 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 Crm Integration 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.

  1. Close CRM - Daily driver for SMB sales (simplest API, best value)
  2. HubSpot - Marketing + Sales alignment with rich ecosystem
  3. Salesforce - Enterprise requirements and complex workflows
  4. Cross-CRM Sync - Bidirectional sync with conflict resolution

Key deliverables:

  • API client setup with proper authentication
  • CRUD operations for leads, contacts, deals, activities
  • Webhook handlers for real-time sync
  • Pipeline automation and reporting

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

<quick_start> Close CRM (API Key Auth):

python
import httpx

class CloseClient:
    BASE_URL = "https://api.close.com/api/v1"

    def __init__(self, api_key: str):
        self.client = httpx.Client(
            base_url=self.BASE_URL,
            auth=(api_key, ""),  # Basic auth, password empty
            timeout=30.0,
        )

    def create_lead(self, data: dict) -> dict:
        response = self.client.post("/lead/", json=data)
        response.raise_for_status()
        return response.json()

    def search_leads(self, query: str) -> list:
        response = self.client.post("/data/search/", json={
            "query": {"type": "query_string", "value": query},
            "results_limit": 100
        })
        return response.json()["data"]

# Usage
close = CloseClient(os.environ["CLOSE_API_KEY"])
leads = close.search_leads("company:Coperniq")

HubSpot (Python SDK):

python
from hubspot import HubSpot
from hubspot.crm.contacts import SimplePublicObjectInputForCreate

client = HubSpot(access_token=os.environ["HUBSPOT_ACCESS_TOKEN"])

# Create contact
contact = client.crm.contacts.basic_api.create(
    SimplePublicObjectInputForCreate(properties={
        "email": "user@example.com",
        "firstname": "Jane",
        "lastname": "Smith"
    })
)
print(f"Created: {contact.id}")

Salesforce (JWT Bearer):

python
import jwt
from datetime import datetime, timedelta

class SalesforceClient:
    def __init__(self, client_id: str, username: str, private_key: str):
        self.auth_url = "https://login.salesforce.com"
        self._authenticate(client_id, username, private_key)

    def _authenticate(self, client_id, username, private_key):
        payload = {
            "iss": client_id,
            "sub": username,
            "aud": self.auth_url,
            "exp": int((datetime.utcnow() + timedelta(minutes=3)).timestamp())
        }
        assertion = jwt.encode(payload, private_key, algorithm="RS256")

        response = httpx.post(f"{self.auth_url}/services/oauth2/token", data={
            "grant_type": "urn:ietf:params:oauth:grant-type:jwt-bearer",
            "assertion": assertion
        })
        self.access_token = response.json()["access_token"]
        self.instance_url = response.json()["instance_url"]

</quick_start>

<success_criteria> A CRM integration is successful when:

  • API authentication works without errors
  • CRUD operations complete for all entity types
  • Rate limits are respected (Close: 100 req/10s, HubSpot: varies by tier)
  • Webhooks fire and process correctly
  • Data syncs bidirectionally without duplicates </success_criteria>

<crm_comparison>

Platform Comparison

FeatureCloseHubSpotSalesforce
AuthAPI KeyOAuth 2.0 / Private AppJWT Bearer
Rate Limit100 req/10s100-200 req/10s by tier100k req/day
Best ForSMB sales, simplicityMarketing + SalesEnterprise
Starting Price$49/user/moFree (limited)$25/user/mo
API AccessAll plansStarter+ ($45+)All plans
WebhooksAll plansPro+ ($800+)All plans

Entity Mapping

ConceptCloseHubSpotSalesforce
CompanyleadcompanyAccount
PersoncontactcontactContact / Lead
DealopportunitydealOpportunity
ActivityactivityengagementTask / Event
Custom Fieldcustom.cf_xxxpropertiesField__c

Pipeline Stage Mapping

StageCloseHubSpotSalesforce
NewLeadappointmentscheduledProspecting
QualifiedContactedqualifiedtobuyQualification
DemoOpportunitypresentationscheduledNeeds Analysis
ProposalProposaldecisionmakerboughtinProposal/Price Quote
WonWonclosedwonClosed Won
LostLostclosedlostClosed Lost
</crm_comparison>

<close_patterns>

Close CRM (Daily Driver)

Query Language (for Smart Views)

python
# Leads with no activity in 30 days
'sort:date_updated asc date_updated < "30 days ago"'

# High-value opportunities
'opportunities.value >= 50000 opportunities.status_type:active'

# Custom field filtering
'custom.cf_industry = "MEP Contractor"'

# Multiple trade types (your ICP)
'custom.cf_trades:HVAC OR custom.cf_trades:Electrical'

Core Operations

python
# Create lead with contacts
lead = close.create_lead({
    "name": "ABC Mechanical",
    "url": "https://abcmech.com",
    "contacts": [{
        "name": "John Smith",
        "title": "Owner",
        "emails": [{"email": "john@abcmech.com", "type": "office"}],
        "phones": [{"phone": "555-1234", "type": "office"}]
    }],
    "custom.cf_tier": "Gold",
    "custom.cf_source": "sales-agent"
})

# Create opportunity
opp = close._request("POST", "/opportunity/", json={
    "lead_id": lead["id"],
    "value": 50000,
    "confidence": 50,
    "status_id": "stat_xxx"  # Pipeline stage
})

# Log activity
close._request("POST", "/activity/note/", json={
    "lead_id": lead["id"],
    "note": "Initial discovery call - interested in demo"
})

Rate Limit Headers (RFC-compliant)

X-RateLimit-Limit: 100
X-RateLimit-Remaining: 95
X-RateLimit-Reset: 1704067200

See reference/close-deep-dive.md for query language, Smart Views, sequences, and reporting. </close_patterns>

<hubspot_patterns>

HubSpot Integration

Python SDK Pattern

python
from hubspot import HubSpot
from hubspot.crm.deals import SimplePublicObjectInputForCreate
from hubspot.crm.contacts import PublicObjectSearchRequest

client = HubSpot(access_token=os.environ["HUBSPOT_ACCESS_TOKEN"])

# Create deal with association
deal = client.crm.deals.basic_api.create(
    SimplePublicObjectInputForCreate(properties={
        "dealname": "Enterprise Deal",
        "amount": "50000",
        "dealstage": "appointmentscheduled",
        "pipeline": "default"
    })
)

# Search contacts by email domain
search = PublicObjectSearchRequest(
    filter_groups=[{
        "filters": [{
            "propertyName": "email",
            "operator": "CONTAINS",
            "value": "@example.com"
        }]
    }],
    properties=["email", "firstname", "lastname"],
    limit=50
)
results = client.crm.contacts.search_api.do_search(search)

Association Types

FromToType ID
ContactCompany1
ContactDeal4
CompanyDeal6
DealContact3

See reference/hubspot-patterns.md for batch operations, custom properties, and workflows. </hubspot_patterns>

<salesforce_patterns>

Salesforce Integration

SOQL Query Patterns

sql
-- Parent-child relationship (Contacts of Account)
SELECT Id, Name, (SELECT LastName, Email FROM Contacts)
FROM Account WHERE Industry = 'Technology'

-- Child-parent relationship
SELECT Id, FirstName, Account.Name, Account.Industry
FROM Contact WHERE Account.Industry = 'Technology'

-- Semi-join (Accounts with open Opportunities)
SELECT Id, Name FROM Account
WHERE Id IN (SELECT AccountId FROM Opportunity WHERE IsClosed = false)

REST API v59.0

python
def create_opportunity(self, data: dict) -> dict:
    """Required: Name, StageName, CloseDate."""
    response = self.client.post(
        f"{self.instance_url}/services/data/v59.0/sobjects/Opportunity/",
        headers={"Authorization": f"Bearer {self.access_token}"},
        json=data
    )
    return response.json()

# Composite API (batch up to 200 records)
def composite_create(self, records: list) -> dict:
    return self.client.post(
        f"{self.instance_url}/services/data/v59.0/composite/sobjects",
        json={"allOrNone": False, "records": records}
    )

See reference/salesforce-patterns.md for JWT setup, Platform Events, and bulk API. </salesforce_patterns>

<webhook_patterns>

Webhook Handlers

Close Webhook (FastAPI)

python
from fastapi import FastAPI, Request, HTTPException
import hmac, hashlib

app = FastAPI()

@app.post("/webhooks/close")
async def close_webhook(request: Request):
    body = await request.body()
    signature = request.headers.get("Close-Sig")

    expected = hmac.new(
        CLOSE_WEBHOOK_SECRET.encode(), body, hashlib.sha256
    ).hexdigest()

    if not hmac.compare_digest(signature, expected):
        raise HTTPException(401, "Invalid signature")

    data = await request.json()
    event_type = data["event"]["event_type"]

    handlers = {
        "lead.created": handle_lead_created,
        "opportunity.status_changed": handle_opp_stage_change,
    }

    if handler := handlers.get(event_type):
        await handler(data["event"]["data"])

    return {"status": "ok"}

Close Webhook Events

lead.created, lead.updated, lead.deleted, lead.status_changed
contact.created, contact.updated
opportunity.created, opportunity.status_changed
activity.note.created, activity.call.created, activity.email.created
unsubscribed_email.created

</webhook_patterns>

<sync_architecture>

Cross-CRM Sync

Architecture

┌─────────────┐     ┌──────────────┐     ┌─────────────┐
│   Close     │────▶│  Sync Layer  │◀────│  HubSpot    │
│  (Primary)  │◀────│  (Postgres)  │────▶│  (Marketing)│
└─────────────┘     └──────────────┘     └─────────────┘

Sync Record Schema

sql
CREATE TABLE crm_sync_records (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    entity_type VARCHAR(50) NOT NULL,
    close_id VARCHAR(100) UNIQUE,
    hubspot_id VARCHAR(100) UNIQUE,
    salesforce_id VARCHAR(100) UNIQUE,
    email VARCHAR(255),
    company_name VARCHAR(255),
    last_synced_at TIMESTAMPTZ,
    sync_source VARCHAR(50),
    sync_hash VARCHAR(64)
);

CREATE INDEX idx_sync_email ON crm_sync_records(email);

Conflict Resolution

python
from enum import Enum

class ConflictStrategy(Enum):
    CLOSE_WINS = "close"      # Close is source of truth
    LAST_WRITE_WINS = "lww"   # Most recent update wins

def resolve_conflict(close_record, hubspot_record, strategy):
    if strategy == ConflictStrategy.CLOSE_WINS:
        merged = close_record.copy()
        for key, value in hubspot_record.items():
            if key not in merged or not merged[key]:
                merged[key] = value
        return merged

See reference/sync-patterns.md for deduplication, migration scripts, and bulk sync. </sync_architecture>

<file_locations>

Reference Files

CRM-Specific:

  • reference/close-deep-dive.md - Query language, Smart Views, sequences, reporting
  • reference/hubspot-patterns.md - SDK patterns, batch operations, workflows
  • reference/salesforce-patterns.md - JWT auth, SOQL, Platform Events, bulk API

Operations:

  • reference/sync-patterns.md - Cross-CRM sync, deduplication, migration
  • reference/automation.md - Webhook setup, sequences, workflows

Templates:

  • templates/close-client.py - Full Close API client
  • templates/hubspot-client.py - HubSpot SDK wrapper
  • templates/sync-service.py - Cross-CRM sync service </file_locations>

User wants CRM integration: → Ask which CRM (Close recommended for simplicity) → Provide auth setup + basic CRUD

User wants Close CRM: → Provide API key setup, query language → Reference: reference/close-deep-dive.md

User wants HubSpot: → Provide SDK setup, search patterns → Reference: reference/hubspot-patterns.md

User wants Salesforce: → Provide JWT auth, SOQL patterns → Reference: reference/salesforce-patterns.md

User wants sync between CRMs: → Provide sync architecture, conflict resolution → Reference: reference/sync-patterns.md

User wants webhooks: → Provide handler pattern for specified CRM → Include signature verification

<env_setup>

Environment Variables

bash
# Close CRM
export CLOSE_API_KEY="api_xxx"
export CLOSE_WEBHOOK_SECRET="whsec_xxx"

# HubSpot
export HUBSPOT_ACCESS_TOKEN="pat-xxx"

# Salesforce
export SF_CLIENT_ID="xxx"
export SF_USERNAME="user@company.com"
export SF_PRIVATE_KEY_PATH="./salesforce.key"
export SF_INSTANCE_URL="https://yourorg.my.salesforce.com"
# Dependencies: httpx pyjwt hubspot-api-client python-dotenv

</env_setup>

<example_session>

Example Session

User: "I need to push enriched leads from my sales-agent to Close CRM"

Claude:

  1. Here's the pattern for pushing enriched data to Close:
python
async def push_to_close(close_client, enriched_data: dict) -> str:
    lead_data = {
        "name": enriched_data["company_name"],
        "url": enriched_data.get("website"),
        "custom.cf_tier": enriched_data["tier"],
        "custom.cf_source": "sales-agent",
        "contacts": [{
            "name": c["name"],
            "title": c.get("title"),
            "emails": [{"email": c["email"]}] if c.get("email") else []
        } for c in enriched_data.get("contacts", [])]
    }

    result = close_client.create_lead(lead_data)
    return result["id"]
  1. Make sure you have these custom fields in Close:

    • cf_tier (choices: Gold, Silver, Bronze)
    • cf_source (choices: sales-agent, inbound, referral)
  2. Rate limit: 100 requests per 10 seconds. Add asyncio.sleep(0.1) between requests for bulk imports. </example_session>

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Crm Integration AI skill do?

CRM integration patterns for Close CRM, HubSpot, and Salesforce. Use when: Close CRM, HubSpot, Salesforce, CRM API, lead sync, deal sync, activity logging, CRM webhook, pipeline automation, contact enrichment.

Why use Crm Integration on TypingMind?

Because you install it once and use it with any model. Crm Integration 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 Crm Integration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/crm-integration. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Crm Integration?

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 Crm Integration?

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

Is the Crm Integration AI skill free?

Yes. It is published on GitHub by manojbajaj95 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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