Introducing Anyscale Agent Skills: Build faster, debug smarter, and optimize AI workloads running on Ray

Anyscale Agent Skills is a framework built on Ray that enables developers to build AI agents more efficiently with improved debugging capabilities and workload optimization. The tool likely provides abstractions and utilities for defining, composing, and managing agent behaviors while leveraging Ray's distributed computing infrastructure for scalable AI applications. It aims to streamline the development lifecycle from initial building through debugging and performance tuning of AI agent systems.

developing an agent is a harness problem. deploying an agent is a runtime problem. here's a guide to the runtime capabilities that keep agen…
Just read @hwchase17’s excellent thread on why agent harnesses are becoming the dominant way to build agents and why they’re intimately tied…
Bilevel Optimization of Agent Skills via Monte Carlo Tree Search
@hwchase17 Ngl I really like this direction. The more AGENTS.md, skills, and tool config start looking like portable interfaces instead of a…
AI Agents Know About Supabase. They Don't Always Use It Right.
great question! knowledge (system prompt, skills) and tools (apis, clis, whatnot) will always be needed, even as the best way to build agent…

Source: Anyscale/Ray | 2026-04-22

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