1581 related articles

A deep dive into AI Agent Skills: their core concepts, technical implementation, the four key elements (SKILL.md, references, scripts, assets), and how Skills differ from prompts.

A deep dive into AI Agent Skills: understand the core concepts and technical implementation through the four key elements — SKILL.md, references, scripts, and assets — and learn how Skills differ from prompts.

Agent Skills is a lightweight open-source format that extends AI agent capabilities with plug-and-play skill packages. This article dives deep into the Skills architecture, progressive disclosure, and how it differs from Multi-Agent design.

Agent Skills is a lightweight open-source format that extends AI agent capabilities via plug-and-play skill packages. Learn its architecture, progressive disclosure, and how it differs from Multi-Agent.
GitHub Daily · July 22: Financial Foun…
GitHub Trending July 22: Kronos brings the foundation model paradigm to finance, awesome-claude-skills tops with 70K stars, plus LikeC4 architecture-as-code and Rust-based Pumpkin.

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

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.

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.

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.

Deep dive into Anthropic's Agent Skills architecture: modular skill loading, core concepts, enterprise value, and how it fundamentally differs from MCP.
TutorialsDeep dive into OpenClaw's industrial-grade Agent architecture with its three-layer design, pluggable Skills system, and memory management. Includes a step-by-step LangChain reproduction guide with an enterprise HR assistant example.
TutorialsHow frontend engineers can move beyond API calls to build production AI systems — covering streaming output, BFF layers, RAG pipelines, and Agent orchestration with LangChain.js/LangGraph.js.
Deep DivesExplore NVIDIA's Deep Research Skill approach for embedding deep research capabilities as skill modules into AI Agent frameworks like Claude Code and LangChain, enabling goal decomposition, multi-source retrieval, and knowledge synthesis.
Deep DivesDeep dive into Hermes Agent V0.13.0's 87 Built-in Skills reorganized into 7 functional layers with priority guidance. Find the 17 core Skills worth learning first.

When RL continuously optimizes models to please reward models, do soaring Elo scores truly represent capability gains? A deep dive into Reward Hacking in RLHF, Goodhart's Law in AI, and industry countermeasures.

AI Doomers warn AI will destroy humanity, but have they actually built AI apps? A developer's sharp critique reveals the vast gap between AI demos and real engineering practice.

A 27-year-old warehouse worker faces a choice between MLOps engineer and Automation Technician. This article analyzes both paths' employment certainty, entry barriers, and growth potential for zero-background career changers.

Mubert API upgrades with editable tracks, stems separation, 2-hour track generation, and real-time streaming. An AI music engine for developers turning generated music into professional, editable material.

Mubert API upgrades with editable tracks, stems separation, 2-hour generation, and real-time streaming—turning AI-generated music into professional, reworkable material for developers.