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Search Production Readiness , found 32 results

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Batch Inference Pipeline

batch-inference-pipeline

jeremylongshore/claude-code-plugins-plus-skills

Guides ML teams through automated batch inference pipelines, suggesting best practices, monitoring and production readiness, and generating code and configs for deployment.

Clerk Production Readiness

clerk-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

Guided checklist for verifying Clerk deployment readiness, covering production configuration validation, security hardening, monitoring, and testing before go-live. Trigger with phrases like “clerk production” to audit or validate your launch preparation.

Customer.io Production Checklist

customerio-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

Guided checklist ensuring Customer.io production deployments cover credentials, integration health, campaigns, monitoring, and rollback readiness.

Documenso Production Checklist

documenso-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

Guided Documenso production deployment checklist covering pre-deploy checks, deployment steps, rollback actions, post-verification, and resource links to support go-live readiness and failure handling.

Firebase Vertex AI Hub

firebase-vertex-ai

jeremylongshore/claude-code-plugins-plus-skills

Guide to architect and deploy Firebase projects that securely call Vertex AI/Gemini from Cloud Functions, covering Auth, Firestore, Hosting, observability, and ops guardrails for production readiness.

Gamma Production Readiness

gamma-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

Comprehensive production readiness checklist for deploying Gamma integrations, covering authentication, monitoring, rate limiting, recovery, testing, and documentation to ensure secure, performant launches.

Granola Production Checklist

granola-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

Detailed production readiness checklist guiding Granola enterprise deployments, covering licensing, security configuration, integrations, workspace preparation, pilot programs, go-live steps, and error handling for team rollouts.

Guidewire Prod Checklist for Deployment

guidewire-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive checklist verifies the readiness of Guidewire Cloud for production deployment. It covers critical steps including Gosu compilation validation, GUnit test execution, API role configuration, integration gateway endpoint testing, batch process scheduling verification, and monitoring alert setup. It guides the promotion of configurations through dev, staging, and production environments via GCC.

Juicebox Production Checklist

juicebox-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

Guides the execution of the Juicebox production deployment checklist, covering readiness validation, go-live preparation, and post-launch output expectations to ensure a safe release.

Kling AI Production Readiness Checklist

klingai-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive checklist designed for ensuring that Kling AI video generation integrations are robust, secure, and reliable before going live or during a deployment review. It covers critical areas including authentication protocols, detailed error handling (retry logic, timeouts), cost control mechanisms, content safety policies, and necessary monitoring setup for a stable production environment.

LangChain Production Checklist

langchain-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

Guides LangChain teams through a production deployment checklist covering security, resilience, observability, performance, testing, and cost controls so you can validate readiness before launch or audit live systems.

Lindy AI Integration Deployment Guide

lindy-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for deploying the application layer that interacts with Lindy AI agents. This includes setting up webhook receivers, managing callback handlers, and ensuring production readiness across multiple platforms like Docker, Vercel, and AWS. It covers prerequisites, multi-step deployment instructions, post-deployment verification scripts, and rollback plans for robust MLOps practices.

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