Crm Integration logo

Crm Integration

Organization
LeadMagic
crm-integration

Configure CRM systems for GTM — lifecycle stages, deal stages, field ownership, enrichment sync, dedupe, required fields, and reporting. Use when setting up HubSpot, Salesforce, Attio, or any CRM integration for sales and marketing teams.

Overview

PublisherLeadMagic
Repositorygtm-skills
Skill namecrm-integration
Stars
72
Forks
18
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

    Published by LeadMagic 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/LeadMagic/gtm-skills/tree/main/skills/automation/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/LeadMagic/gtm-skills.git /tmp/gtm-skills
mkdir -p .claude/skills
cp -r /tmp/gtm-skills/skills/automation/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.

CRM Integration

Overview

Most CRM problems are process problems disguised as software problems. Teams add fields, automations, and sync rules before deciding what the CRM is supposed to be the source of truth for.

This skill designs a CRM integration that supports GTM execution without turning into rep admin theater: clear lifecycle stages, field ownership, enrichment sync, dedupe, and stage-gate rules.

When to Use

Use this skill when the user asks to "set up our CRM for sales", "configure HubSpot", "configure Salesforce", "set up Attio", "design deal stages", "integrate enrichment with CRM", "clean up CRM data", "define lifecycle stages", or "build CRM reporting".

Use crm-toolkit for platform selection, contacts-vs-leads architecture, and blueprints — then platform setup skills (hubspot-setup, salesforce-setup, attio-setup) for rollout.

Authoritative Foundations

Winning by Design — Bowtie Model

CRM design should cover the full bowtie: acquisition, conversion, retention, expansion, and advocacy. Most teams only model pipeline and ignore post-sale stages.

HubSpot — Lifecycle Stage Model

HubSpot's lifecycle model is useful for SMB and mid-market teams because it connects marketing, sales, and CS handoffs with clear stage definitions.

Salesforce — Opportunity and Object Architecture

Salesforce works best when object relationships, required fields, and automation rules are designed before admins start customizing pages.

Attio — Programmable CRM Model

Attio's flexible object model works well for teams that need relationship intelligence, custom objects, and lightweight GTM workflows without Salesforce overhead.

Prerequisites

  • Defined GTM motion: PLG, sales-led, founder-led, or hybrid
  • ICP tiers and segments
  • Sales stages and exit criteria
  • CRM owner/admin
  • Enrichment sources
  • Sequencer and marketing automation tools
  • Reporting requirements

Step-by-Step Process

Phase 1: Define Source-of-Truth Rules

Data TypeSource of TruthWrite Access
Contact identityCRMCRM + enrichment upsert
Lifecycle stageCRMAutomation + owner override
Deal stageCRMDeal owner
Enrichment fieldsEnrichment pipelineEnrichment system only
Suppression/opt-outCRM/complianceCompliance automation only
Activity historyCRMIntegrated tools

No integration should write fields it does not own.

Phase 2: Build Lifecycle Stages

Recommended stages: subscriber/raw lead, lead, MQL, SQL, opportunity, customer, expansion candidate, evangelist/referral source. Each stage needs entry criteria and exit criteria.

Phase 3: Design Deal Stages

StageRequired Exit Criteria
DiscoveryPain, persona, account fit captured
QualifiedNeed, authority, timeline, next step confirmed
Demo / EvaluationSuccess criteria and stakeholders documented
ProposalScope, pricing, decision process known
NegotiationProcurement/legal path identified
Closed Won/LostReason code and next action captured

Enterprise motions can add MEDDICC fields. SMB motions should keep required fields lighter.

Phase 4: Integrate Enrichment

Enrichment writes only enrichment-owned fields, never overwrites manually corrected CRM fields without confirmation, uses source + timestamp columns, and exposes failed enrichment as a visible status.

Phase 5: Reporting and Governance

Minimum dashboards: funnel conversion by lifecycle stage, pipeline by stage and owner, stage aging, source-to-revenue attribution, data completeness, enrichment coverage and freshness.

Output Format

markdown
# CRM Integration Blueprint

## Source-of-Truth Rules
| Field Group | Source | Allowed Writers | Overwrite Rule |
|---|---|---|---|

## Lifecycle Stages
| Stage | Entry Criteria | Exit Criteria | Owner |
|---|---|---|---|

## Deal Pipeline
| Stage | Required Fields | Exit Criteria | Automation |
|---|---|---|---|

## Integration Map
| Tool | Reads From CRM | Writes To CRM | Risk |
|---|---|---|---|

Quality Check

Before delivering, verify:

  • Every stage has entry and exit criteria
  • Field ownership is defined
  • Enrichment cannot overwrite human-owned fields silently
  • Required fields are minimal enough reps will use them
  • CRM supports marketing, sales, and CS handoffs
  • Dashboards cover funnel, pipeline, stage aging, and data quality

Common Pitfalls

  1. Two-way sync everywhere. Creates conflicts and loops. Fix: define read/write ownership per tool.
  2. Too many required fields. Reps stop updating CRM. Fix: require only fields needed for the next stage.
  3. No stage exit criteria. Pipeline becomes subjective. Fix: write objective exit rules.
  4. CRM as the process. Tools do not create process. Fix: define process first, configure second.
  5. No data freshness. Old enriched fields linger forever. Fix: source and timestamp every enrichment field.
  6. No lost reason taxonomy. Closed-lost learning disappears. Fix: standardized lost reasons with notes.

Execution Artifacts

  • references/framework-notes.md — named frameworks, citation anchors, and operating assumptions
  • templates/output-template.md — copy-paste deliverable structure for the user
  • scripts/check-output.py — local checklist validator for required sections This skill includes lightweight artifacts the agent can load on demand: Use the artifacts when the user asks for an implementation-ready deliverable, a repeatable workflow, or a quality check rather than generic advice.

Related Skills

  • hubspot-setup — HubSpot-specific implementation
  • salesforce-setup — Salesforce-specific implementation
  • attio-setup — Attio-specific implementation
  • gtm-operations — governance and operating cadence

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?

Configure CRM systems for GTM — lifecycle stages, deal stages, field ownership, enrichment sync, dedupe, required fields, and reporting. Use when setting up HubSpot, Salesforce, Attio, or any CRM integration for sales and marketing teams.

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/LeadMagic/gtm-skills/tree/main/skills/automation/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 LeadMagic 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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