1510 related articles

MCP and Skills aren't alternatives — they occupy different layers of AI Agent architecture. This article breaks down Function Call, MCP, and Skills to clarify each layer's role.

A deep dive into Agent Skills: SKILL.md structure, four core elements (workflow/docs/tools/assets), real-world case studies, and how Skills differ from prompts.

A deep dive into Agent Skills: learn the file structure (SKILL.md, references, scripts, assets), core principles, and how they differ from prompts. Build your own AI skill bundle from scratch.

Learn how Skill-powered AI Agents can automatically log in to WeChat Official Account backends, scrape data, sort it, and generate Excel reports — eliminating manual analytics work.

Microsoft open-sources dotnet/skills, packaging .NET/C# best practices as structured skills for AI coding agents. Bridges domain knowledge gaps in general LLMs, improving code quality for GitHub Copilot and other tools.

Google Labs open-sourced stitch-skills, a standardized skill encapsulation solution for AI Agents, compatible with Gemini CLI, Claude Code, Cursor and more.

July 12 GitHub trending: Agent Skills/MCP ecosystem explodes with superpowers hitting ~900 stars, pgrust rewrites Postgres in Rust passing 100% tests, plus solid engineering foundations.

Google engineer Addy Osmani's open-source project agent-skills (76k+ GitHub stars) injects production-grade engineering skills into AI coding agents, covering performance, security, and code quality.

July 11 GitHub Daily: Three Agent Skills projects surge on the same day, signaling AI programming's shift to skill standardization, with cross-platform open standards and local Agent memory leading the way.

A deep dive into Agent Skills: from basic prompts to fully encapsulated AI capability units. Five levels of human-AI interaction evolution, with clear distinctions between Skills, MCP, and Workflow.

July 10 GitHub Daily: The Agent Skills ecosystem explodes as over half of trending projects revolve around AI coding Agent skill libraries, with MCP as the standard interface.

A deep dive into Anthropic's Agent Skills architecture — clarifying its difference from MCP, and how modular Skill packages enable scalable, maintainable enterprise agent development.

The agentskills open-source project aims to solve AI Agent ecosystem fragmentation through standardized skill specifications enabling portable, composable, and reusable agent capabilities.

Matt Pocock's 4-step framework for AI Agent Skill design: Trigger, Structure, Steering, Pruning. Escape skill hell and learn to write high-quality skills.

Matt Pocock's 4-step framework for AI Agent Skill design: Trigger, Structure, Steering, Pruning. Escape skill hell, tell good skills from bad, and master leading words to make Agents follow your intent.

Deep dive into AI Agent Skills: SKILL.md file structure, four component modules, differences from prompts, and practical scenarios for frontend generation, PPT creation, and more.

A comprehensive guide to Agent Skills: what Skills are, how they differ from Prompts, and how to design SKILL.md files. Learn modular AI Agent development through a real restaurant branding example.

DeepLearning.AI and Anthropic launch an Agent Skills course. Learn how Skills work, progressive disclosure, MCP integration, and subagent patterns for AI agent development.

A deep dive into Agent Skills and its core design philosophy — progressive disclosure. Covers middleware, dynamic tools, and Metawheel implementation for building scalable AI agents.
Payload-Less Skills: The Hidden Supply…
Payload-Less Skills are a stealthy new attack targeting LLM agent supply chains — no malicious code required. Learn how they work and how to defend against them.