Cross Crm Opportunity Sync logo

Cross Crm Opportunity Sync

Organization
zapier
cross-crm-opportunity-sync

Coordinate opportunities and customer records across multiple CRMs while preserving attribution, visibility, commissions, and governance.

Overview

Publisherzapier
Repositorygtm-cheat-codes
Skill namecross-crm-opportunity-sync
Stars
349
Forks
21
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Cross Crm Opportunity Sync 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/zapier/gtm-cheat-codes/tree/main/skills/sales-revops/cross-crm-opportunity-sync
  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/zapier/gtm-cheat-codes.git /tmp/gtm-cheat-codes
mkdir -p .claude/skills
cp -r /tmp/gtm-cheat-codes/skills/sales-revops/cross-crm-opportunity-sync .claude/skills/cross-crm-opportunity-sync
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cross Crm Opportunity Sync 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 Cross Crm Opportunity Sync 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 Cross Crm Opportunity Sync 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.

Cross-CRM Opportunity Sync

Use this skill when a company runs multiple CRMs and needs one deal, account, or customer relationship to stay understandable across systems.

Workflow

  1. Detect a new opportunity or approved stage-change event in a connected CRM.
  2. Match the account against a master customer record or matching rules.
  3. Determine whether the deal touches another CRM, business unit, product line, or customer relationship.
  4. Mirror or link the opportunity in the relevant CRM with approved fields only.
  5. Surface cross-CRM context to the rep through an internal note, briefing, or team notification.
  6. Write an audit trail for every cross-CRM write.
  7. Route low-confidence matches, old conflicts, and revenue-sensitive updates for human review.

Zapier MCP And SDK Role

  • Use Zapier MCP to read and write approved CRM fields, call an LLM for matching and enrichment, look up a master customer record, and route rep notifications.
  • Use Zapier SDK for developer-led implementations that need durable workflow execution, retries, logs, schedules, sandbox-to-production promotion, and audit trails.
  • Keep production writes, fuzzy matches, revenue-touching workflows, and customer-data workflows approval-gated.

Master Customer Record Patterns

  • Canonical CRM: one CRM is the source of truth and other CRMs sync from it.
  • Warehouse-driven: a warehouse creates a shared customer ID that all CRMs reference.
  • Match-on-the-fly: the agent uses email domain and company-name matching with confidence scoring and human review.

Known Gotchas

  • Sync loops require a synced_from marker.
  • Historic duplicates require a separate one-time cleanup pass before go-live.
  • Bulk migration can hit CRM rate limits.
  • Field types differ across CRMs and need translation maps.
  • Stage names drift across CRMs and need a canonical taxonomy.
  • Currency and FX rules must be explicit before syncing pipeline or revenue values.

Guardrails

  • Do not sync raw text notes between CRMs without explicit approval.
  • Do not sync intermediate stage changes by default.
  • Do not sync owner changes by default.
  • Do not auto-promote low-confidence matches.
  • Do not touch production without sandbox review and designated approval.
  • Always write an audit row for cross-CRM writes.

Inspired By

This skill is generalized from When operators get the keys to the integration stack, a customer story with Voltt founder William Ascough. The reference implementation runs across multiple CRMs at a global multi-product business with operator-built workflows governed through a sandbox-to-production model.

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 Cross Crm Opportunity Sync AI skill do?

Coordinate opportunities and customer records across multiple CRMs while preserving attribution, visibility, commissions, and governance.

Why use Cross Crm Opportunity Sync on TypingMind?

Because you install it once and use it with any model. Cross Crm Opportunity Sync 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 Cross Crm Opportunity Sync in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zapier/gtm-cheat-codes/tree/main/skills/sales-revops/cross-crm-opportunity-sync. 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 Cross Crm Opportunity Sync?

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 Cross Crm Opportunity Sync?

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

Is the Cross Crm Opportunity Sync AI skill free?

Yes. It is published on GitHub by zapier 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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