An AI-powered business analyst that provides anomaly detection, cash flow forecasting, and relationship scoring for ERPClaw.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install erpclaw-ai-engine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install erpclaw-ai-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ERPClaw AI Engine?
The erpclaw-ai-engine is a high-performance business intelligence layer for the ERPClaw ecosystem, designed to operate entirely within the Openclaw Skills framework. It transforms raw financial data into actionable insights by scanning for transaction anomalies, projecting future liquidity, and evaluating business health without requiring cloud dependencies or external API calls.
This skill acts as an autonomous financial advisor, maintaining full conversation context and audit trails. By leveraging local SQLite storage, it ensures that sensitive business logic and financial data remain private and secure while providing sophisticated features like what-if scenario analysis and automated transaction categorization.
ERPClaw AI Engine Use Cases
- Identify suspicious transactions and budget overruns automatically.
- Generate 30, 60, or 90-day cash flow projections to manage liquidity.
- Enforce custom business rules and spending limits across the organization.
- Monitor customer and supplier relationship health via automated scoring.
- Run complex what-if scenarios for price changes or market demand shifts.
How ERPClaw AI Engine Works
- The skill accesses the local SQLite database to retrieve historical financial and transactional data.
- Users trigger specific actions like detect-anomalies or forecast-cash-flow via the CLI or AI agent.
- The engine processes data using predefined algorithms for pattern recognition and statistical forecasting.
- Results are stored in dedicated AI tables with UUIDs for full traceability and auditability.
- The AI agent provides proactive suggestions based on findings, such as alerting users to critical anomalies found using Openclaw Skills.
ERPClaw AI Engine Setup
First, ensure erpclaw-setup is installed. Then, initialize the database if it is your first time using the skill:
python3 ~/.openclaw/erpclaw/init_db.py --db-path ~/.openclaw/erpclaw/data.sqlite
You can verify the status of the engine using the following command:
python3 scripts/db_query.py --action status
ERPClaw AI Engine Data Schema & Taxonomy
The skill manages 10 dedicated tables within the local SQLite database. All records utilize UUID4 for identification and maintain a read-only relationship with core financial tables. This architecture ensures high performance when using Openclaw Skills.
| Table | Purpose |
|---|---|
| anomaly | Stores detected suspicious patterns and budget overruns. |
| cash_flow_forecast | Contains projected liquidity data over various time horizons. |
| business_rule | Defines spending limits and approval workflows. |
| relationship_score | Tracks health metrics for customers and suppliers. |
| audit_conversation | Maintains a history of AI interactions and decisions. |
ERPClaw AI Engine Advanced Features
- Multi-step conversation memory to resume complex workflows effortlessly.
- Sophisticated what-if scenario analysis for price changes, hiring, or expansion.
- Automated transaction categorization using pattern recognition and OCR sources.
- Proactive notification system for critical financial warnings and status updates using Openclaw Skills.
- Customizable business rules with severities ranging from simple notifications to hard blocks.
SKILL.md
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