voyager-new-applisted

# Create New Application Create a Python application for Axelera AI hardware using Voyager SDK InferenceStream ## Use This Skill When / Not When - Use when: the user wants a standalone Python app (REST API, alerts, custom UI, multi-stream business logic) around a validated pipeline. - Not when: they need the initial end-to-end runnable pipeline -- route to voyager-launch and run it first. - Not when: they only want YAML -- route to voyager-new-pipeline. ## Instructions Create an application with the specified requirements: **$ARGUMENTS** If the request is primarily for a complete validated video/demo result, browser popup, or user-facing output viewer, use `voyager-launch` first. Its launch harness creates and opens `viewer/index.html` after Metis validation. ### Step 0: Data Source & Environment Selection {{INCLUDE common/voyager-sdk-setup.md}} ### Step 0.5: Axelera Voyager Project & Task Integration {{INCLUDE common/voyager-task-integration.md}} ### Step 1: Application Requirements Analysis - Parse application type from arguments - If not specified, ask for: - Application purpose (monitoring, analytics, demo, production) - Model/pipeline to use - Input sources (cameras, video files, streams) - Output requirements (display, file, API, custom processing) - Business logic requirements ### Step 2: Application Template Selection Based on requirements, choose appropriate template: - **Simple Demo**: Basic display with inference results - **Analytics**