A Retrieval-Augmented Generation (RAG) system designed to automate manufacturing cost estimation and CNC part quoting with high precision.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cnc-quote-system
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 cnc-quote-system 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 CNC Intelligent Quoting System (RAG-based)?
The CNC Intelligent Quoting System is a specialized AI agent worker designed to replace manual manufacturing part quoting processes. By leveraging a Retrieval-Augmented Generation (RAG) framework, it can transform a multi-day manual quoting task into a streamlined 10-minute automated workflow. As a featured part of the Openclaw Skills ecosystem, it provides engineers and manufacturers with reliable cost projections based on real-world data.
The system utilizes a HybridRetriever engine that combines vector-based semantic search with rule-based exact matching. This ensures that when calculating costs for materials like AL6061 or complex surface treatments, the agent retrieves the most relevant historical cases and pricing rules. It is an essential tool for maintaining competitive and accurate pricing in the CNC manufacturing sector.
CNC Intelligent Quoting System (RAG-based) Use Cases
- Rapid CNC part quoting and manufacturing cost estimation.
- Intelligent retrieval from manufacturing knowledge bases.
- Historical quote analysis and similarity matching for new orders.
- Automated risk assessment and price anomaly detection for manufacturing bids.
- Material cost analysis and labor hour estimation.
How CNC Intelligent Quoting System (RAG-based) Works
- The user inputs specific manufacturing requirements such as material type, dimensions, and quantity.
- The HybridRetriever initiates a dual-engine search: VectorRetriever for semantic similarity and RuleRetriever for exact specification matching.
- The QuoteEngine processes the retrieved data to calculate raw material costs and estimated labor hours.
- The RiskController analyzes the generated quote against historical data to detect price anomalies.
- The system outputs a comprehensive quote and risk report, categorized by safety levels from Low to Critical.
CNC Intelligent Quoting System (RAG-based) Setup
To integrate this skill into your environment, install the necessary dependencies using the following command:
pip install -r requirements.txt
Ensure your config.json is properly configured with your local paths for cases.json to enable full RAG capabilities within Openclaw Skills.
CNC Intelligent Quoting System (RAG-based) Data Schema & Taxonomy
The system organizes data through a structured taxonomy to ensure retrieval accuracy:
| File | Type | Purpose |
|---|---|---|
cases.json |
Data Store | Contains historical quoting cases for similarity matching. |
config.json |
Configuration | Defines retrieval modes and threshold parameters. |
SKILL_BOM.md |
Documentation | Lists the Bill of Materials and technical requirements. |
risk_control.py |
Logic | Metadata-driven risk scoring (0-100 scale). |
CNC Intelligent Quoting System (RAG-based) Advanced Features
- Hybrid Retrieval Mode: Combines semantic vector search with rigid rule-based logic for 95%+ accuracy.
- Automated Risk Leveling: Scores every quote to prevent human error or financial loss.
- High-Speed Processing: Optimized for retrieval speeds under 200ms.
- Extensible Case Library: Easily scale the system by adding new historical data to the JSON case store.
- Multi-material Support: Pre-configured for over 50+ manufacturing materials.
SKILL.md
Loading
Related Openclaw Skills
Feishu Meeting Minutes Generator
An automated tool to convert Feishu/Lark meeting transcripts into structured Markdown minutes and professional PDF documents.
Agentic Identity Trust
A robust cryptographic framework for autonomous AI agents to establish verifiable identity, scoped authorization, and immutable audit trails.
Thundarr Execution Bridge (Local)
A direct interface for executing system-level shell commands and binary tools within the thundarr-gpu container environment.
Skill Preflight Checker
A comprehensive security auditing tool that performs automated reputation checks and code scans to ensure the safety of third-party Openclaw Skills.
Accounts Payable Agent
An autonomous AI agent designed to manage vendor payments, contractor invoices, and recurring bills across crypto and fiat channels with strict audit integrity.
Responses Third Party Prompt Cache Patch
A specialized utility to prevent OpenClaw from stripping caching headers for third-party OpenAI-compatible API providers.
Featured*
