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SkillsMP has collected 9 skills from archetypeai/agent-skills. Open a skill to review its source and details.
Showing 9 of 9 collected skills.
Run Archetype AI's managed Task Verification (TVA) agent over the Agents API — upload a recording AND a reference procedure (an SOP), create a bundle from the `tva` blueprint, run it, poll, download a per-step PASSED / FAILED / MISSING verdict per step. Use…
Run Archetype AI's managed Anomaly Discovery (AD) agent over the Agents API — upload a prepared sensor CSV, resolve the pre-packaged "AD Quick Start" bundle by name (a fitted LOF detector and its threshold are already pinned), run it, poll, download a…
Run Archetype AI's managed Manual Generation (MGA) agent over the Agents API — upload a procedure video, create a bundle from the canonical `mga` blueprint, run it, poll, download an ordered, timestamped manual. Use when the user has a recording of a…
Run Archetype AI's managed Operational State Monitoring (OSM) agent over the Agents API — upload a sensor CSV, resolve a maintained pre-packaged "OSM Quick Start" bundle (classifier + windowing already pinned), run it, poll status + audit events, download the…
Run Archetype AI's managed Rare Event Detection (RED) agent over the Agents API — upload a sensor CSV, resolve the pre-packaged "RED Quick Start" bundle by name (its nearest-prototype classifier and windowing are already pinned), run it, poll status + audit…
Build the front-end for a Newton demo with the Archetype AI Design System — the published, versioned packages (`@archetypeai/ds-lib-tokens`, `@archetypeai/ds-ui-svelte-console`, `@archetypeai/ds-ui-svelte-labs`) and the `ds` scaffolding CLI…
Clean, split, and featurize multivariate time-series data before embedding it with the Omega model. Bundles three reusable building blocks: `DataPreprocessor` (diagnose timestamp regularity, gaps, and nulls; build continuous gap-aware temporal blocks with…
Get time-series embeddings from Archetype AI's Omega encoder (`OmegaEncoder::omega_embeddings_1_4`) over the prod `/query` endpoint — send a window of sensor readings, get back a fixed-size vector per channel, no batch job and no session. Use this skill when…
Call Newton's C 2.6 fusion model (`Newton::c2_6_8b_fp8_260424d7a55d5e`) on the prod `/query` endpoint with text, image, and video inputs in a single stateless request — no session, no batch job, no SSE plumbing. Use this skill when the user wants per-call…