#agent skill
1969 related articles
·2 min
Getting Started with Agent Skills: Progressive Disclosure Design Philosophy and Implementation Guide
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.
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·4 min
12 Open-Source AI Agent Projects Worth Exploring: Frameworks, Skill Packs, and Toolchains
A roundup of 12 trending open-source AI agent projects on GitHub, covering video generation, agent frameworks, skill packs, code engines, security scanning, and voice processing.
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Payload-Less Skills: The Hidden Supply…
·3 min
Payload-Less Skills: The Hidden Supply Chain Threat Targeting LLM Agents
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.
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·3 min
Building an Automated Penetration Testing System with Claude: A Deep Dive into Memory, Skills, and Agent Architecture
A security researcher demonstrates how to customize Claude into an automated penetration testing system with memory, skills, and a knowledge base — successfully compromising CTF targets and finding real Bug Bounty vulnerabilities.
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·3 min
GitHub Daily · July 4th: The Agent Skills Ecosystem Explodes
GitHub Trending July 4: The AI Agent ecosystem explodes across specs, frameworks, and apps — from agentskills to Vibe-Trading, a full Agent tech stack emerges.
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·7 min
A New Core Skill for Programmers: How to Effectively Lead Your AI Agent Dev Squad
Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.
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·8 min
MCP Server or Agent Skills? A Clear Guide to Architecture Decision-Making
MCP Server vs Agent Skills: how to choose? This article systematically outlines an AI Agent architecture decision framework across three dimensions—essential differences, applicable scenarios, and judgment criteria.
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·6 min
Agent Studio: A Unified Platform for Authoring AI Roles and Skills
Agent Studio unifies AI Agent role definition (Subagents) and Skills on one platform, enabling coordinated orchestration through a shared MCP endpoint, progressive disclosure, and moderated community publishing.
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·7 min
Linked Context: How AI Agent Skills Can Point to the Entire Open Web
Deep dive into Skill Studio's "Linked Context" mechanism—skill files become real-time URL fetches instead of pre-loaded copies, extending AI Agent progressive disclosure to the entire open web.
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·2 min
Harness Engineering Architecture Explained: An Essential Skill for AI Agent Developer Roles
Harness Engineering is becoming a must-have skill for AI agent developer roles. Learn the architecture, how top agent products use it, and how to practice with LangChain DeepAgents.
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·4 min
AI Keeps Failing at Writing Code? You Need Knowledge Bases, Skills, MCP, and Agents — All of Them
AI coding failures in enterprise aren't about weak models — they're about missing frameworks. Learn how Knowledge Bases, Skills, MCP, and Agents work together.
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·3 min
Agent + Skill Architecture: A Practical Guide to AI-Driven End-to-End Automated Testing
Learn how to build an AI-driven API automation testing framework using Agent+Skill architecture with Claude Code, covering test case generation, script execution, and report output.
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·3 min
Understanding AI Agents Through Excel: The Essential Difference Between Skills and Tool Calls
Learn the essential difference between Skills and Tool Calls in AI Agents through a practical Excel agent case study, with full API call chain analysis.
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·3 min
What Are Agent Skills? A Deep Dive into the New Paradigm for AI Agent Decision-Making
Deep dive into Agent Skills: how they solve React Agent pain points through on-demand loading and capability modularization, improving decision precision for production-ready enterprise AI Agents.
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·3 min
The Essential Difference Between Agent Skills and MCP: Process Layer vs. Capability Layer
Deep dive into the essential difference between Skill and MCP in AI Agent development. Skill handles the process layer for codifying workflows; MCP handles the capability layer for connecting external systems.
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·3 min
AI Skills System: A Practical Guide to On-Demand Capability Loading for Agents
Deep dive into the AI Skills system architecture and execution flow, covering Skill.md dual-layer design, skill scanning and matching, on-demand loading, and practical integration methods.
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·3 min
Agent Skills Architecture Explained: A New Paradigm for Modular AI Agent Development
A deep dive into Agent Skills architecture: core concepts, components, and how it works. Clarifies common misconceptions about Skills vs. MCP, and compares Skills with Multi-Agent architecture.
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·3 min
SkillSpector: NVIDIA's Open-Source Security Scanner for AI Agent Skills
SkillSpector is NVIDIA's open-source AI Agent Skill security scanner that detects data exfiltration, malicious commands, and overly broad permissions before installation.
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·3 min
Build 6 Testing Agents with Skills to Eliminate Repetitive Work
Learn how to build 6 testing agents using AI Skills for test case generation, Xmind mind maps, performance reports, JMeter scripts, and more — saving 3-4 hours daily with no coding required.
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·3 min
Core Analysis of Agent Skill: Progressive Disclosure & Middleware Practical Guide
Deep dive into Agent Skill's core design—Progressive Disclosure—with detailed middleware and dynamic tool implementation, Multi-Agent comparison, and practical tips.
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