1217 related articles

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.
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.

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.

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.

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.

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.

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.

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.

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.

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.

SkillSpector is NVIDIA's open-source AI Agent Skill security scanner that detects data exfiltration, malicious commands, and overly broad permissions before installation.

Deep dive into Agent Skills: their concept, four core components (skill.md, references, scripts, assets), and how to customize AI skill modules with practical examples.

Firebase unveils major updates at Google I/O 2025: SQL Connect real-time sync, AI Logic on-device inference, Firestore Enterprise full-text search, phone verification GA, and more.

A deep dive into Agent Skill's core concepts and internal structure, covering skill.md, references, scripts, and assets with a restaurant poster Skill example.

Agent Skills splits AI capabilities into independent skill folders with on-demand loading and progressive disclosure, cutting token costs by 80% and reducing hallucinations for template-based output.

Deep dive into Anthropic's Agent Skills architecture: modular skill loading, core concepts, enterprise value, and how it fundamentally differs from MCP.

A deep dive into Andrew Ng and Anthropic's Agent Skills course: how to empower AI agents like Claude Code with new capabilities through standardized skill files, progressive loading, and MCP integration.

Hands-on review of Google's open-source Agent Skills library: how 12 Skills improve AI-generated UI quality, configuration pitfalls, and the strategic significance of standardizing Agent Skills.

Deep dive into Firebase Agent Skills architecture covering Firestore data backend, Firebase Auth, and AI Logic — three core components for building AI agent apps.