Technical deep dive into Claude Agent Skills' prompt-based meta-tool architecture. Learn how context injection design, two-message patterns, LLM-based routing, and runtime context modification enable sophisticated AI agent behaviors. Complete implementation guide covering SKILL.md structure, execution lifecycle, permission scoping, and design patterns for building LLM tool systems. Essential for AI engineers, prompt engineers, and technical architects building agentic applications.
Agent Skills are modular capabilities that extend Claude's functionality. Each Skill packages instructions, metadata, and optional resources (scripts, templates) that Claude uses automatically when relevant.
I like cooking recipes. They’re clean, serene documents where, at some point, one or more utensils enter the stage to perform a task. If you were to write one on how to use AI to augment your work as a technical writer, though, you would have a hard time deciding when and where LLMs come out of the toolbox to aid you. The variety of flavors in which AI presents itself doesn’t help. This is why I’ve come up with a framework that describes applications of the different AI tools at our disposal.
Authorization Before Retrieval: Making RAG Safe by Construction
Retrieval-augmented generation makes language models far more useful by grounding them in real data, But it also raises a hard question: who is allowed to see what? This post shows how authorization can be enforced before retrieval, ensuring that RAG systems remain powerful without becoming dangerous.
Weeknotes 371 - The real shift is not from human coders to AI agents—it's from coding to engineering the environment where agents are co-designers. And other news on AI companion devices and robots as CES.
Deploy fleets of AI coding agents with the world's best UX for managing and collaborating on agent workloads. Fully open source CLI and local desktop orchestration, or use cloud sync and remote agents to scale to your whole team and all your devices.
A hands-on exploration of OpenCode, an open-source coding agent built with a client/server architecture. Learn how AI tools, LLMs, and real-world constraints come together to create a powerful developer experience.
Agent OS | The system for spec-driven development with AI coding agents
Agent OS is a popular system spec-driven development with AI coding agents. It's a free open-source framework from Builder Methods, created by Brian Casel.