What problem does it solve? Choosing the wrong architecture for an automation task leads to wasted credits, unreliable polling, or unmaintainable setups. This Skill forces a structured assessment before building any scheduled task, bot, webhook handler, or background process so the execution route matches the actual requirements. ## Core Features & Use Cases - Architecture Assessment: Eight diagnostic questions classify requests by execution type (AI judgment vs. deterministic), trigger type, frequency, data source, and delivery target. - Route Selection: Maps assessment answers to concrete routes including scheduled AI execution, web app cron jobs, webhook handlers, persistent polling services, and full Linux environments. - Implementation Patterns: A reference document details five patterns covering state management, idempotency, retries, built-in LLM usage, and cost tradeoffs. - Use Case: A user asks for a bot that checks competitor prices every 5 minutes and posts alerts to Slack. The Skill identifies this as deterministic, high-frequency polling and routes it to an always-on hosted process instead of expensive per-run AI sessions. ## Quick Start Ask the assistant to set up an automated workflow, such as monitoring a website and sending alerts, and it will assess the requirements and propose implementation options before building.
