What problem does it solve? Prototype code often fails in real environments because it lacks error handling, retries, logging, and persistence. This Skill enforces a production-grade workflow that turns rough scripts into directly deployable, long-running solutions. ## Core Features & Use Cases - Mandatory ReAct Format: Every response follows Thought / Action / Observation, with a self-reflection checkpoint every 3 steps to catch production risks like memory leaks, infinite retries, and race conditions. - Production Deployment Checklist: Validates error handling, persistence, rate-limit avoidance, performance, observability, and deployment method before delivery. - Three Deployment Options: Delivers complete instructions for Docker (recommended for NAS/servers), local Python, or Windows with Task Scheduler. - Use Case: Ask it to make a web scraper production-grade, and it returns modular code with exponential backoff retries, SQLite persistence, structured logging, a Dockerfile, and a full docker run command with volume mounts. ## Quick Start Ask the agent to make your script production-grade and deployable with Docker so it runs stably long term.
