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newton-machine-state-upload

Upload CSV files to drive Machine State Lens classification on Archetype AI.

Updated Apr 9, 2026
Search Tags:#csv#upload#lens#data-classification#machine-state#server-side-processing#archetype-ai
One-click install
npx skills add https://github.com/archetypeai/newton-earthquake-demo --skill newton-machine-state-upload
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: newton-machine-state-upload
Source: https://github.com/archetypeai/newton-earthquake-demo/tree/main/.claude/skills/newton-machine-state-upload
Command: npx skills add https://github.com/archetypeai/newton-earthquake-demo --skill newton-machine-state-upload

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Upload a CSV file to drive a Machine State Lens on the Archetype AI platform, enabling server-side processing without a local streaming loop.

Core Features & Use Cases

  • Server-side ingestion of CSV data and machine-state classification through Lens pipelines, reducing client-side complexity.
  • Supports Python and Web (JavaScript) implementations, enabling flexible integration in data workflows.
  • End-to-end workflow including file upload, lens registration, session management, input streaming to a csv_file_reader, and SSE-based result consumption.

Quick Start

Upload a CSV file and run the Machine State Lens on Archetype AI's platform to classify the data server-side.

Frequently Asked Questions about newton-machine-state-upload

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

FAQPage Schema
How do I run server-side machine state classification on a CSV file?▼

Server-side machine state classification processes uploaded CSV data through a Lens pipeline on the Archetype AI platform. This approach reduces client-side complexity by handling ingestion and data classification entirely on the server.

Can I use Python and JavaScript for CSV data upload workflows?▼

Yes, the CSV upload workflow supports both Python and Web JavaScript implementations. This allows flexible integration for registering lenses, managing sessions, and consuming SSE-based results across different frontend environments.

What is the best way to process machine state data without a local streaming loop?▼

Uploading CSV files to the Archetype AI platform for server-side processing eliminates the need for a local streaming loop. The platform manages the input streaming to a csv_file_reader and returns classification results via SSE.

Does the Machine State Lens workflow support SSE-based result consumption?▼

Yes, the end-to-end workflow supports SSE-based result consumption. After file upload and lens registration, the platform streams classification results back to the client using Server-Sent Events for real-time data delivery.

What are the steps to integrate a CSV file reader with session management?▼

Integrating a CSV file reader involves uploading the file, registering the Machine State Lens, and establishing a session on the Archetype AI platform. The server then streams inputs to the csv_file_reader and outputs classification results via SSE.

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