deploy

Run tests, push changes, and validate health in production deployments.

4|Updated Dec 5, 2025
One-click install
npx skills add https://github.com/aaaa47080/stock_agent --skill deploy-aaaa47080
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deploy
Source: https://github.com/aaaa47080/stock_agent/tree/main/.opencode/skills/deploy
Command: npx skills add https://github.com/aaaa47080/stock_agent --skill deploy-aaaa47080

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deploying software reliably to production by automating tests, pushes, and post-deploy validation to reduce manual toil and errors.

Core Features & Use Cases

  • Automated Pre-deploy Checks: Run unit/integration tests and static analysis before deployment.
  • Sequential Deploy Pipeline: Execute linting, commit/push, and deployment steps with health checks.
  • Post-Deployment Validation: Smoke tests to verify service health after deployment.

Quick Start

Run the full deployment workflow for the current branch to production.

Frequently Asked Questions about deploy

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

FAQPage Schema
How do I automate production deployments with tests and health checks?

Automating production deployments requires running pytest unit tests, linting, pushing Git changes, and executing a health-check script post-deploy. This workflow executes sequential pipeline steps to reduce manual toil and deployment errors.

Can I use this deployment pipeline for microservices?

Yes, you can use this deployment pipeline for microservices and web services. It applies to CI/CD pipelines across staging to production environments to ensure safe, tested sequential releases.

What do I need to set up a CI/CD pipeline for automated deployments?

Setting up this CI/CD pipeline requires a Python-based environment, pytest tests, static linting, a configured Git remote, and a dedicated health-check script for post-deploy validation.

What is the best way to validate service health after a production deploy?

The best way to validate service health after a production deploy is to execute automated smoke tests and a dedicated health-check script. This post-deployment validation verifies that the service operates correctly.

Does automated deployment work without running pre-deploy tests and linting?

Automated deployment does not work safely without pre-deploy tests and linting. Running static analysis and pytest checks before pushing Git commits prevents errors and ensures only validated code reaches production.