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    Web Deployment Environment Planner

    1

    Architects secure, multi-environment deployment pipelines with rollback strategies and configuration inventories.

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    Web Deployment Environment Planner

    Web Deployment Environment Planner

    Example session with this skill installed

    Plan a deployment for a Next.js frontend and Node.js API hosted on AWS. We need staging and production environments, PostgreSQL migrations, and a way to handle secrets via AWS Secrets Manager.

    • Read your context and instructions
    • Compiled the web deployment environment

    I have outlined the deployment architecture for your Next.js and Node.js stack on AWS, focusing on environment separation and secure secret handling.

    Deployment Environment Plan

    Deployment Architecture Overview

    • Application Architecture: Decoupled Next.js (Frontend) and Node.js (Backend) services.
    • Hosting Model: AWS ECS (Fargate) for backend, Vercel or AWS Amplify for frontend.
    • Environment Structure: Development, Staging (mirrors Production), and Production.
    • Deployment Strategy: Rolling updates for ECS; Atomic deployments for Frontend.
    • Main Risks: Database migration drift between Staging and Production; Build-time env var leakage in Next.js.

    Environment Matrix

    EnvironmentPurposeInfrastructureDataConfig SourceDeploymentAccess
    StagingQA / Pre-releaseECS Fargate (Small)RDS SnapshotSecrets ManagerCI TriggerInternal
    ProductionLive TrafficECS Fargate (Autoscale)Multi-AZ RDSSecrets ManagerManual GateRestricted

    Configuration Inventory

    Variable/ConfigScopeSecret?Required?SourceConsumerNotes
    DATABASE_URLAllYesYesSecrets ManagerBackendUnique per env
    NEXT_PUBLIC_APIAllNoYesCI/CD EnvFrontendBaked at build
    JWT_SECRETProdYesYesSecrets ManagerBackendRotate 90 days

    Build & Release Flow

    COMMIT → CI → LINT → TEST → DOCKER BUILD → PUSH ECR → ECS DEPLOY → SMOKE TEST → RELEASE

    Deployment Checklist

    Pre-Deploy
    • Correct AWS Account/Profile selected
    • DATABASE_URL validated in Secrets Manager
    • Docker image tagged with Git SHA
    • Migration script up.sql reviewed for locks
    • Staging smoke test passed
    Post-Deploy
    • /health endpoint returns 200 OK
    • Database connection pool metrics stable
    • CloudWatch error rates below 1% threshold
    • Next.js client-side API calls verified

    Rollback Plan

    • Trigger: >5% 5xx error rate or failed health check for 2 minutes.
    • Previous version: Last stable ECR image tag (Git SHA).
    • Application rollback: ECS Service update to previous Task Definition.
    • Database strategy: Forward-fix preferred; rollback only if down.sql is non-destructive.

    Next steps

    1. Provision the Staging RDS instance using a sanitized Production snapshot.
    2. Configure AWS Secrets Manager policies to restrict Production secret access to the Prod ECS Task Role only.
    3. Integrate the pre-deployment migration check into your GitHub Actions workflow.

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    About this skill

    The problem

    Manual deployment workflows lead to environment drift, leaked secrets, and failed production releases. Developers often lack a structured plan for handling database migrations, rollback triggers, and multi-environment configuration.

    What it does

    • Designs environment-aware architectures separating local, staging, and production concerns.
    • Generates configuration inventories that classify secrets and define variable scopes.
    • Maps CI/CD pipelines from commit through build, artifact packaging, and smoke testing.
    • Creates pre- and post-deployment checklists including health checks and critical flow verification.
    • Produces concrete rollback plans for application code and database schema changes.

    Frameworks & tools

    Designed for modern web stacks including React/Next.js, Node.js, Python/Django, Docker, Kubernetes, and cloud providers like AWS, GCP, or Vercel.

    Why this beats prompting it yourself

    Generic prompts often forget the "day two" operations like migration reversals or health endpoint verification. This skill enforces a rigorous checklist that catches configuration drift and identifies destructive database risks before you hit deploy.

    Use cases

    • Architecting a multi-stage CI/CD pipeline for a new microservice.
    • Designing a secrets management strategy for a scaling engineering team.
    • Planning a complex database migration that requires a zero-downtime rollback path.
    • Auditing existing deployment workflows for security risks and environment mixing.

    Known limitations

    Does not execute actual deployment commands or infrastructure-as-code scripts. Focuses on planning and architectural strategy.

    Does not execute terminal commands or deploy code. Requires manual entry of specific provider resource limits if not provided.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    What's inside

    Frequently Asked Questions

    This skill acts as an architectural consultant that identifies potential points of failure, such as environment drift and secret leaks, providing you with a rigorous, production-ready roadmap before you write a single line of CI/CD code.

    The skill is compatible with most major LLMs and AI agent platforms; you simply provide your tech stack details, and it outputs structured deployment blueprints and checklists.

    While the planner supports any stack, it is specifically optimized for modern web frameworks like React/Next.js and Node.js, and containerized environments using Docker, Kubernetes, and major cloud providers.

    No, this skill focuses on the architectural planning and strategy phase; it provides the logic and checklists you need to safely configure your own infrastructure-as-code or CI/CD scripts.

    Yes, one of its core strengths is architecting zero-downtime strategies, including mapping out pre-deployment health checks and specific rollback paths for both application code and database schemas.

    You receive the full architectural logic for the planner, including specialized modules for environment-aware design, secrets management strategy, and deployment verification checklists.

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