ops-devops-platform
DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
176 skills found
DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.
Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.
Comprehensive Linux development environment management for compilers, build tools, IDEs, and debugging workflows.
Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.
Manage Jenkins CI/CD pipelines via REST API. Trigger builds, monitor job status, view console logs, and manage nodes and queues directly from your terminal or AI agent.
Streamline technical documentation for BattleScope features, maintaining consistency across API, frontend, and architecture layers.
A template skill for creating project-specific AI agent guidelines, defining architecture, file structures, and code patterns for deterministic development.
Connect your AI agent to the Hugging Face Hub via MCP. Search models, datasets, and papers, manage repos, run cloud compute jobs, and invoke Gradio Spaces as functional AI tools.
Development CLI for the Multigres project: automate unit tests, integration tests, and environment coordination for Vitess-for-Postgres.
Build Claude Code extensions: skills, agents, hooks, plugins, and slash commands. Includes builder agents for autonomous component creation and structure management.
Search and retrieve AI-generated documentation, architecture guides, and API references for 300+ popular GitHub repositories using DeepWiki and MCP.
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.