tayari-run-and-operate

Orchestrate the Tayari Skill Boost microservices stack with Docker Compose profiles.

Updated Jan 20, 2026
One-click install
npx skills add https://github.com/Harshodai/tayari-skill-boost --skill tayari-run-and-operate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tayari-run-and-operate
Source: https://github.com/Harshodai/tayari-skill-boost/tree/main/.claude/skills/tayari-run-and-operate
Command: npx skills add https://github.com/Harshodai/tayari-skill-boost --skill tayari-run-and-operate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves the complexity of managing a multi-service microservices architecture, preventing common pitfalls like profile-based startup failures and environment configuration drift.

Core Features & Use Cases

  • Stack Orchestration: Provides precise commands for starting, stopping, and logging the full Tayari Skill Boost stack, including the Supabase infrastructure.
  • Health & Diagnostics: Offers standardized health check procedures for the Go API, Python engine, and supporting services.
  • Operational Guidance: Defines clear conventions for data persistence, artifact locations, and production deployment strategies.

Quick Start

Use the tayari-run-and-operate skill to start the full development stack using the required dev profile.

Frequently Asked Questions about tayari-run-and-operate

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

FAQPage Schema
How do I orchestrate a microservices stack with Docker Compose profiles?

Orchestrating a microservices stack with Docker Compose profiles involves using precise commands to start, stop, and log services across dev and production environments. This approach prevents profile-based startup failures and manages service-specific environment configurations.

What is the best way to prevent environment configuration drift in a multi-service architecture?

Preventing environment configuration drift in a multi-service architecture requires defining clear conventions for service-specific environment configurations and persistent data volumes. This ensures reliable service communication between distinct layers like Go API gateways, Python engines, and database infrastructure.

How do I run health checks on a Go API gateway and Python AI engine?

Running health checks on a Go API gateway and Python AI engine requires standardized diagnostic procedures for each supporting service. These procedures verify reliable service communication and monitor the overall operational health of the deployed stack.

Can I use Docker Compose to manage persistent data volumes for local and production environments?

Yes, you can use Docker Compose to manage persistent data volumes for local and production environments. By defining clear conventions for artifact locations and data persistence, you ensure reliable service communication across the stack and prevent data loss during deployments.

Why does my Supabase stack fail to start when using Docker Compose profiles?

Your Supabase stack may fail to start due to profile-based startup failures or environment configuration drift. Orchestrating the lifecycle with precise startup commands and managing service-specific environment configurations prevents these common multi-service architecture pitfalls.