Archetype AI
Official@archetypeai · United States of America
Offers specialized interfaces for streaming sensor data, video analysis, and UI scaffolding within SvelteKit and design system environments.
Agent Skills by Archetype AI
Showing 16 vetted skills indexed across 1 GitHub repositories.
fix-accessibility
Audit and fix WCAG accessibility issues in shadcn-svelte projects.
newton-machine-state-upload
Upload CSV files to drive Machine State Lens classification on Archetype AI.
embedding-upload
Upload a CSV file and generate 3072-dimensional server-side embeddings.
deploy-worker
Automate Cloudflare Workers deployment for SvelteKit projects with CI/CD.
create-dashboard
Scaffold full-viewport dashboard UI skeletons with branded menubar and panel grid.
build-pattern
Assemble composite UI patterns from design system primitives into reusable components.
newton-camera-frame-analysis
Analyze live webcam frames as base64 JPEG via Newton's vision model.
apply-ds
Migrate SvelteKit demos to Archetype DS tokens, components, and patterns.
newton-machine-state-from-file
Stream time-series CSV data to Archetype AI's Machine State Lens for n-shot state classification.
newton-activity-monitor-lens-on-video
Analyze uploaded videos with Newton's activity monitor lens via SSE streaming.
newton-machine-state-from-sensor
Stream real-time IMU sensor data into the Archetype AI Machine State Lens.
embedding-from-file
Stream time-series CSV data to generate embeddings in the Archetype AI Embedding Lens.
fix-metadata
Update page titles, favicons, meta descriptions, and Open Graph tags in SvelteKit projects.
newton-direct-query
Query the Newton model via the /v0.5/query API endpoint.
embedding-from-sensor
Stream real-time IMU sensor data to an Embedding Lens for live embeddings.
setup-chart
Set up chart scaffolding for Svelte projects using LayerChart and Chart primitives.
Frequently Asked Questions About Archetype AI
FAQPage SchemaWhat specific tasks can I perform with these capabilities?▼
You can perform real-time classification of time-series sensor data, analyze video frames for activity monitoring, generate high-dimensional embeddings from CSV files, and scaffold accessible SvelteKit dashboard interfaces using pre-defined design system patterns.
Which personas benefit most from these technical capabilities?▼
Frontend engineers building SvelteKit dashboards, data scientists integrating real-time sensor streams, and accessibility specialists auditing WCAG compliance in web interfaces will find these capabilities most relevant for their development cycles.
What are the primary prerequisites for streaming sensor data?▼
To stream sensor data, you must provide time-series CSV files or live IMU sensor inputs formatted for the Machine State Lens or Embedding Lens endpoints, ensuring your environment supports the required streaming protocols.