dev-workflow
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
141 skills found
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Manage test infrastructure with IaC, Docker, and service virtualization. Optimize testing costs, ensure dev/prod environment parity, and automate environment provisioning for consistent, scalable software testing.
Systematic Kubernetes troubleshooting, pod diagnostics, cluster health monitoring, and incident response playbooks.
Elasticsearch DBA skill for cluster architecture, mapping design, performance tuning, and production operations including ILM, shard strategy, and troubleshooting.
Systematic cloud cost optimization for AWS, Azure, GCP, and OCI through resource rightsizing, automated governance, pricing model analysis, and architectural best practices.
Systematic performance engineering: baseline measurement, profiling, bottleneck diagnosis, and evidence-based optimization guidance for high-performance applications.
Manage dlt data pipelines and Temporal workflows for the SignalRoom marketing platform. Sync sources like Everflow, Redtrack, and S3 to Postgres, check status, and debug ingestion.
Troubleshoot and manage the GCP e2-micro VM running the eth-realtime-collector. Handle systemd failures, network connectivity issues, and real-time data stream monitoring for Ethereum network data.
Create and manage production-ready Grafana dashboards for observability, real-time metrics visualization, and system monitoring.
Optimize developer experience for multi-component solutions: standardize onboarding, inner-loop, debugging, and cross-platform setup to eliminate friction and tribal knowledge.
Advanced multi-language debugging support with stack trace analysis, runtime error triage, and automated diagnostic tools for containerized and distributed systems.
Orchestrate end-to-end quality engineering across CI/CD pipelines, from commit-stage unit testing and shift-left strategies to production-stage synthetic monitoring and compliance gates.