Tag
AntLing has open-sourced the Ming-Image-0.1-Design family, including 6B parameter image models and agent skills, which rank #1 on the Artificial Analysis UI/UX Design leaderboard.
This paper introduces a method to compile practitioner-written 'Agent Skills' into training environments for AI agents, using reinforcement learning to enhance their performance on real-world tasks and benchmarks.
MCP now defines a standard extension for agent skills, enabling on-demand discovery and loading of reusable workflows for AI agents through existing resources.
AWS releases 38 open-source agent skills for healthcare and life sciences AI, encoding domain decision procedures to improve agent reasoning with evaluation showing 70-86% win rates in comparisons.
The Model Context Protocol (MCP) has introduced an experimental extension for discovering and loading agent skills from servers, enabling dynamic context usage and better orchestration in AI workflows.
The article presents COBRA-Skills, a method using contextual bandits to efficiently optimize agent skills, reducing costs by avoiding repeated LLM-based trajectory analysis and skill rewriting.
Xcode 27 introduces agent skills for modern best practices and new APIs, allowing export outside Xcode with a single command.
This paper compares subagent execution versus agent skill execution for long-horizon tasks in language model agents, finding that subagent execution outperforms when skills are well-defined, though it increases communication overhead.
The Gemini API documentation has been relocated to ai.dev/docs and integrated with Google AI Studio to improve accessibility, with new developer tools like MCP and Agent Skills.
mimeo is an open-source tool that compiles public expert corpora into agent skills and evaluates knowledge access, persona recognition, and judgment transfer in AI agents.
SkillZip Pro is a compression method for production agent skill bundles that reduces token usage by 38% without quality loss, enhancing efficiency in AI agent deployment.
The paper introduces reSolve, a surrogate-guided solve-and-reproduce framework for self-evolving agent skills that achieves 74.9% performance, surpassing human-curated baselines by 14.8 points.
A developer has built a free, open-source platform for sharing and discovering .md files, skills, and instructions for AI agents, aimed at solving organization issues and fostering community collaboration.
SKILL.state introduces a runtime architecture for LLM-based agents that uses mutable execution state instead of growing conversation history, enhancing accuracy and reducing token usage in long-horizon tasks.
WikiSkill introduces a framework that co-evolves agent skills with a persistent knowledge base to systematically accumulate experience and improve performance across models, demonstrating benefits over state-of-the-art skill-evolution methods.
A benchmark study shows that injecting Agent Skills in Web Development tasks often reduces performance and increases token cost, with failure modes like length-distracted and content-misled models, highlighting the need for per-deployment evaluation.
The article analyzes the language distribution in AI agent skills, finding that non-English skills are growing rapidly with Chinese leading, indicating a global shift in AI development beyond English-speaking regions.
The article announces the update of a '/retro' skill for coding agents to in-progress, aiming to improve agent navigation, coding standards, and tool economy.
This is a post sharing a collection of top AI bloggers and an Agent Skills website, aimed at helping readers find AI learning and tool resources that suit them.
A paper analyzes a dataset of 3.8 million agent skill files from public GitHub repositories, revealing that over half are exact copies, and provides a SQLite file for further research.