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SkillsMP는 archetypeai/agent-skills에서 9개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 9개 중 9개를 표시합니다.
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어
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…
원문 언어: 영어