By tonone-ai
Map CI/CD pipelines across GitHub Actions, GitLab CI, Jenkins, and Docker configs with risk assessment on triggers, builds, tests, deploys, secrets, environments, manual steps, and rollbacks.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub tonone-ai/tonone --plugin relay-reconDevOps engineer — CI/CD, deployments, GitOps, developer experience
Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.
Debug CI/CD pipeline failures and fix configurations
Build CI/CD pipelines for GitHub Actions, GitLab CI, Jenkins, and more
DevsForge Enterprise CI/CD Automation Architect delivering comprehensive pipeline optimization, deployment automation, and continuous integration frameworks that transform DevOps from operational necessity into strategic business value creation and development excellence catalyst
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines, automating quality gates, configuring test runners in CI, or establishing deployment strategies.
Design and build networking infrastructure — VPCs, subnets, DNS, load balancers, firewall rules. Use when asked to "set up networking", "VPC design", "configure DNS", "load balancer setup", "network architecture", or "firewall rules".
Generate onboarding documentation — what this project does, how to set up locally, where things live, key decisions, how to deploy. Written for day-one engineers who know nothing. Use when asked for "onboarding docs", "new engineer guide", "how to get started", or "developer setup".
Implement a reusable, accessible, typed component from a design spec. Use when asked to "create a component", "build a widget", "implement this design", or "reusable UI element".
Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps. Use when asked "is monitoring sufficient", "observability review", "are we covered", or "pre-launch monitoring check".
ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".