23 AI tools for GitLab ?
Bundle combining GitLab, Cloudflare, Sentry, and Grafana MCP servers with Python and Rails skills for DevOps pipeline workflows.
Full-stack SaaS bundle combining PostgreSQL, AWS, GitLab, and Sentry MCP servers with Rails Developer, Python Developer, and Frontend Design skills plus
An autonomous agent that designs a complete deployment package: CI/CD pipeline, containers, Kubernetes resources, and infrastructure code.
An autonomous agent that designs production-ready CI/CD pipelines and cloud infrastructure automation with security built in.
Architecture patterns for multi-stage CI/CD pipelines - approval gates, rolling/blue-green/canary deploys, rollback.
Enterprise credential security engine that discovers, classifies, hardens, and governs all API keys and secrets across every provider.
Estimates AI-assisted dev work with PERT statistics, P50/P75/P90 confidence bands, and calibration feedback loops.
Comprehensive ShellCheck configuration guidance covering error codes, CI/CD integration, and suppression practices.
Expert cloud architect guidance for scalable, cost-effective, secure multi-cloud infrastructure design across AWS, Azure, and GCP.
An expert deployment engineer for modern CI/CD pipelines, GitOps workflows, progressive delivery, and security-first zero-downtime automation.
Configures SAST tools (Semgrep, SonarQube, CodeQL) with custom rules, CI/CD gates, and false-positive tuning.
Enterprise Terraform/OpenTofu specialist: multi-cloud architecture, GitOps, policy-as-code, and compliance governance.
Expert Unity 6 LTS developer: rendering pipelines, DOTS/ECS performance, cross-platform deployment, and multiplayer.
MCP server for GitLab - file operations, merge requests, issues, repository search, and branch/fork management.
