Production Checklist

Validates AI agent SaaS applications against a production readiness checklist covering security, observability, and scalability.

Updated Apr 2, 2026
One-click install
npx skills add https://github.com/khiwniti/carbonscope --skill production-checklist-khiwniti
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Production Checklist
Source: https://github.com/khiwniti/carbonscope/tree/main/ai-agent-saas-expert/skills/production-checklist
Command: npx skills add https://github.com/khiwniti/carbonscope --skill production-checklist-khiwniti

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Teams launching AI agent SaaS products often miss critical pre-deployment steps like rate limiting, error tracking, or backup strategies, leading to outages and security incidents after launch. ## Core Features & Use Cases - Weighted Readiness Scoring: Evaluates security (30%), observability (20%), error resilience (20%), performance (15%), scalability (10%), and deployment (5%) to produce a production readiness percentage. - Comprehensive Checklists: Covers authentication, API security, monitoring, logging, caching, LLM provider failover, compliance (GDPR, SOC 2, HIPAA), and launch-day procedures. - Use Case: Before deploying a Next.js + Supabase AI chatbot, run the checklist to discover missing CORS restrictions, absent Sentry configuration, and undocumented rollback procedures, then fix them before launch day. ## Quick Start Ask the assistant to run the production readiness checklist against your AI agent SaaS project and report the readiness score with critical blockers.

Frequently Asked Questions about Production Checklist

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

FAQPage Schema
How do I check if my SaaS app is ready for production?▼

Run a structured production readiness checklist covering security, observability, error resilience, performance, scalability, and deployment. This skill scores each area with weights and flags critical blockers like missing authentication, hardcoded secrets, or absent backups.

What should a pre-launch checklist for an AI chatbot include?▼

Include authentication and authorization checks, rate limiting, CORS configuration, error tracking with Sentry, LLM provider failover and cost monitoring, database backups, HTTPS enforcement, and a documented rollback plan. Launch-day items cover health endpoints, alerts, and analytics verification.

How is the production readiness score calculated?▼

The score weights security at 30%, observability and error resilience at 20% each, performance at 15%, scalability at 10%, and deployment at 5%. Scores of 90-100% indicate readiness, while below 60% signals critical unresolved issues.

Does this checklist cover GDPR and SOC 2 compliance?▼

Yes, it includes privacy and compliance items such as privacy policies, data processing agreements, GDPR, SOC 2, HIPAA, and PCI-DSS. A referenced compliance-detailed.md file provides deeper GDPR, SOC 2, and HIPAA checklists.

What are the critical blockers that prevent production launch?▼

Critical blockers are missing authentication, secrets committed in code, no error tracking, no database backups, and no HTTPS. High-priority items include missing rate limiting, monitoring, poor performance, and absent rollback plans.