erpclaw-growth

Integrate CRM, analytics, and AI workflows using a local SQLite database.

5|6|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/avansaber/erpclaw-addons --skill erpclaw-growth
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: erpclaw-growth
Source: https://github.com/avansaber/erpclaw-addons/tree/main/erpclaw-growth
Command: npx skills add https://github.com/avansaber/erpclaw-addons --skill erpclaw-growth

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

ERPClaw Growth unifies CRM, analytics, and AI capabilities to streamline customer-facing operations and data-driven decision making.

Core Features & Use Cases

  • CRM pipeline management for leads, opportunities, campaigns, and activities.
  • Advanced analytics dashboards and AI-powered insights across CRM and operations.
  • AI-driven forecasting, anomaly detection, and relationship scoring to improve business outcomes.
  • Local/offline deployment with a SQLite data store and modular domain scripts for scalable deployments.

Quick Start

Activate ERPClaw Growth by initializing CRM, analytics, and AI workflows for your company.

Frequently Asked Questions about erpclaw-growth

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run CRM analytics and AI forecasting in a fully offline environment?

AI anomaly detection in CRM data uses modular scripts to analyze local SQLite records, identifying pipeline irregularities and operational deviations. It applies forecasting algorithms directly within offline deployments to flag unexpected business trends.

Can I use SQLite for CRM pipeline management and cross-module analytics?

To set up offline CRM workflows, initialize the CRM, analytics, and AI modules to operate on a local SQLite data store. This configuration enables pipeline management and forecasting without relying on cloud infrastructure.

Does this approach require cloud connectivity for AI-driven relationship scoring?

Offline CRM analytics face limitations when scaling to extremely large datasets that exceed local storage capacity. SQLite handles moderate local volumes well, but massive enterprise-scale deployments may require migrating to a distributed cloud database.

What is the best way to integrate AI insights with existing CRM dashboards locally?

Offline AI forecasting handles CRM data by applying modular scripts to historical pipeline records in a SQLite database. It generates future projections and anomaly alerts without transmitting customer data to external servers.