Enterprise-grade AI Agent Skills for software development, DevOps, SRE, security, and product teams. Compatible with Claude Code, Cursor, Windsurf, Gemini CLI, GitHub Copilot, and 30+ AI coding agents.

Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord

Published in CNCF Landscape: A MCP server for Kubernetes.

Terraform & OpenTofu Skill for AI Agents - testing, modules, CI/CD, and production patterns

🔥 Lightweight, Airbrake/Sentry-compatible, PostgreSQL-based Open Source Error Catcher

Secure MCP runtime for AI agents to operate local machines, servers, and containers with multi-device orchestration.

The operations layer for agentic engineering — portable skills and contracts connecting intent, agents, software factories, and independent judgment.

Turn tracker tickets into autonomous agent sessions

GitHub-style CLI for Jenkins — manage contexts, runs, logs, and admin tasks from your terminal.

Skills to automate app store deployed and everything related to it using the asc cli

Plugin para Claude Code especializado em ADVPL e TLPP para desenvolvimento TOTVS Protheus

Multi-agent system for software development

OpenSwarm — Autonomous AI dev team orchestrator powered by Claude Code CLI. Discord control, Linear integration, cognitive memory.

Agent skills synthesizing years of software engineering discipline into a prescriptive methodology for solo developers

🥷 A code-first, strongly-typed build automation system for Deno.

Forge Orchestrator: Multi-AI task orchestration. File locking, knowledge capture, drift detection. Rust.

VMware vCenter/ESXi AI-powered monitoring and operations. Two skills: vmware-monitor (read-only, safe) and vmware-aiops (full operations) | Claude Code Skill

eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.

Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.

Run any process, on your machine or in an AI agent's environment, as if it were a pod in your Kubernetes cluster: real env vars, DNS, network, traffic.

AI agent skills for building, operating and troubleshooting Apache Kafka applications. Topic audit, consumer lag, schema review, security, connectors and DLQ

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments