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build-orchestrator

Orchestrate Synthex production deployments across preflight, build, deploy, verify, and monitor phases.

3|Updated Aug 3, 2025
Search Tags:#typescript#monitoring#deployment#vercel#prisma#orchestrator#ci
One-click install
npx skills add https://github.com/CleanExpo/Synthex --skill build-orchestrator-cleanexpo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: build-orchestrator
Source: https://github.com/CleanExpo/Synthex/tree/main/.claude/skills/build-orchestrator
Command: npx skills add https://github.com/CleanExpo/Synthex --skill build-orchestrator-cleanexpo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating production releases involves many manual validation steps, fragile build and deployment commands, and time-sensitive monitoring; this Skill automates and enforces a guarded five-phase pipeline to reduce human error and accelerate safe releases.

Core Features & Use Cases

  • Phased Orchestration: Sequential PREFLIGHT, BUILD, DEPLOY, VERIFY, and MONITOR phases that halt on failure and log detailed diagnostics.
  • Preflight Validation: Environment variable checks, dependency install verification, Prisma client generation, and TypeScript type validation before any build runs.
  • Deployment & Rollback: Pushes to Vercel production, captures deployment IDs and URLs, verifies "Ready" status, and provides a rollback protocol when needed.
  • Smoke Tests & Monitoring: Health endpoint checks, critical endpoint smoke tests, response-time thresholds, SSL checks, and a 15-minute post-deploy monitoring window with error-rate and p95 latency gates.
  • Use Case: Use during any Synthex production release to ensure predictable builds, catch type or config errors early, validate runtime health, and automatically decide rollback on critical regressions.

Quick Start

Run the build-orchestrator to validate environment variables, build the app, deploy to Vercel, run smoke tests, and monitor for 15 minutes.

Frequently Asked Questions about build-orchestrator

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

FAQPage Schema
How do I automate production deployment validation and monitoring on Vercel?▼

Orchestrating Vercel production deployments involves a five-phase pipeline: preflight validation, build artifact generation, Vercel deployment, smoke verification, and a 15-minute monitoring window. It enforces TypeScript checks and captures deployment IDs for rollback decisioning.

What checks should I run before deploying a TypeScript app to production?▼

Preflight validation checks environment variables, verifies dependency installation, generates Prisma client files, and enforces TypeScript type validation. Running these checks before building prevents configuration and type errors from reaching the production environment.

How do I set up smoke tests and health monitoring after a Vercel deployment?▼

Post-deploy smoke testing checks health endpoints, critical endpoint availability, response-time thresholds, and SSL validity. A 15-minute monitoring window then tracks error rates and p95 latency to automatically decide whether to execute a rollback protocol.

Does this deployment orchestrator work with Prisma and TypeScript?▼

Yes, the orchestrator integrates Prisma client generation and TypeScript type validation directly into its preflight phase. It requires npm build tooling, project environment variables, and Vercel CLI credentials to execute these steps before generating build artifacts.

What triggers a rollback during automated production monitoring?▼

Rollback is triggered by critical regressions identified during the 15-minute monitoring window. The pipeline evaluates health metrics, error rates, and p95 latency gates, halting operations and initiating a rollback protocol when runtime thresholds are exceeded.

What credentials do I need to orchestrate Vercel deployments and monitoring?▼

Orchestrating Vercel deployments requires Vercel CLI credentials, project environment variables, npm build tooling, and access to application logs and metrics. These inputs enable preflight validation, artifact generation, production deployment, and post-deploy health evaluation.

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