Deploy applications and retrieve production logs to troubleshoot broken releases.
npx skills add https://github.com/kvm9-dev/susanoo --skill deployment-kvm9-dev
Please help me install this Agent Skill. Skill: deployment Source: https://github.com/kvm9-dev/susanoo/tree/main/.local/skills/deployment Command: npx skills add https://github.com/kvm9-dev/susanoo --skill deployment-kvm9-dev
This Skill helps you publish and configure an application for production, then diagnose issues when the deployed app behaves incorrectly or fails.
Tell the AI: "Set up an autoscale deployment for my web app using gunicorn on port 5000, then help me publish and investigate any production errors using deployment logs."
High-intent search queries and answers about installing and using this skill.
Configuring a production deployment target involves selecting autoscale, VM, scheduled, or static hosting, then defining run, build, and public directory settings to establish the publishing workflow.
Debugging production runtime problems uses server log analysis with optional time window and regex message pattern filtering to identify failures and retrieve evidence of broken releases.
Yes, you can filter production logs by applying optional time windows and regex message patterns to isolate specific server errors and troubleshoot broken releases accurately.
Yes, the deployment workflow supports scheduled jobs and static hosting targets, alongside autoscale and VM targets, allowing flexible production publishing across different server configurations.
Specifying run and build configurations is required before publishing to validate publishing readiness and ensure the application deploys correctly to the selected production target.
okgoogle13Automate project deployment to staging or production with pre-deployment checks.
KhaledMKhaledConfigure deployment targets and retrieve filtered runtime logs.
FrekiManagarmAutomate DevOps workflows for deployment, provisioning, configuration, monitoring, and cleanup.
dy9759Design CI/CD pipelines and cloud-native infrastructure with Terraform and Kubernetes.
