production-agent-public

Generates deployable code with ReAct reasoning, error handling, retries, logging, and Docker deployment instructions.

1|Updated Jun 20, 2026
One-click install
npx skills add https://github.com/riipandi/minis-skills --skill production-agent-public-riipandi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: production-agent-public
Source: https://github.com/riipandi/minis-skills/tree/main/production-agent-public
Command: npx skills add https://github.com/riipandi/minis-skills --skill production-agent-public-riipandi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Code that looks correct but crashes in real environments is a common frustration. This Skill enforces a production-grade workflow so generated solutions include error handling, retries, persistence, logging, and complete deployment instructions instead of fragile demo code. ## Core Features & Use Cases - ReAct Reasoning Format: Every response follows Thought/Action/Observation structure with self-reflection checkpoints every 3 steps to catch risks like rate limiting, memory leaks, and race conditions. - Production Checklist: Each delivery is validated against error handling, persistence, risk control, performance, observability, and deployment dimensions. - Three Deployment Paths: Delivers complete instructions for Docker (recommended for NAS/VPS), local Python, or Windows with Task Scheduler. - Use Case: Ask to make a web scraper production-grade, and receive modular code with exponential backoff retries, SQLite persistence, structured logging, a Dockerfile, and maintenance tips. ## Quick Start Ask the agent to make your script production-grade and deployable with Docker, including error handling, retries, and logging.

Frequently Asked Questions about production-agent-public

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I make a Python script production-grade?▼

Production-grade code requires error handling with exponential backoff retries, structured logging with timestamps, externalized configuration, and persistence that survives restarts. This Skill enforces all of these plus a deployment guide for Docker, local Python, or Windows.

What is the ReAct format for AI agents?▼

ReAct structures every response as Thought, Action, and Observation, forcing explicit reasoning before any code output. This Skill also inserts a self-reflection checkpoint every 3 steps to catch risks like rate limiting, memory leaks, and race conditions.

How do I deploy a Python script with Docker on a NAS?▼

The Skill delivers a Dockerfile plus a complete docker run command with volume mounts so data survives container restarts. It uses restart policies like unless-stopped for 24/7 uptime on Synology NAS, servers, or VPS environments.

Does this Skill require external dependencies or APIs?▼

No external dependencies are required. It is a pure prompt-based Skill compatible with Minis, Claude.ai, and API calls, and it adapts tool calls to whatever platform-native tools are available.

When should I not use a production-grade code workflow?▼

Avoid it for quick prototypes, one-off experiments, or casual questions where enforced checklists and deployment guides add unnecessary overhead. The Skill is designed for solutions intended to run stably long-term.