AI Agent Skills

Easy and Repeatable Kubernetes Development

Machine Learning Toolkit for Kubernetes

Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data s…

Kubernetes controller for GitHub Actions self-hosted runners

Open-source context retrieval layer for AI agents

A lightweight tool for deploying and managing containerised applications across a network of Docker hosts. Bridging the gap between Docker and Kubernetes ✨

Event-driven Automation Framework for Kubernetes

Synthesize settled context into a behavior-focused spec for an engineering agent.

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into f…

Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic…

Declarative Continuous Deployment for Kubernetes

A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Workflow Engine for Kubernetes

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).