Learn how to build intelligent AI agents with practical skills and tools. Complete beginner-friendly tutorial covering agent skills, tool integration, computer use, file operations, and real-world examples using Claude and OpenAI.
Read many books but feel unchanged? You might be trapped in ineffective reading. This article introduces the 5-Level Reading Impact Pyramid model to break through information overload and accurately evaluate article value. Master the key method to evolve from shallow information intake to deep behavioral change and cognitive reconstruction, truly improving your personal knowledge ROI.
A comprehensive analysis of 100+ contributors to the Google Gemini CLI project, exploring how open source communities build and maintain enterprise-grade tools. This article covers top contributors, collaboration patterns, and best practices for community-driven development.
A comprehensive guide to advanced Obsidian usage, including free cloud sync via GitHub, AI integration with Gemini CLI, image storage management, and mobile sync configuration to supercharge your note-taking system.
A comprehensive exploration of Parlant, an AI Agent framework specifically built for customer engagement scenarios. From architecture design and core features to practical applications and best practices, this article provides a complete guide to building high-quality conversational AI systems with Parlant.
In-depth analysis of China UHV industry chain, including macro drivers, supply chain landscape, midstream oligopoly analysis, and investment outlook for A-share core targets
In Agent model optimization, data is the core "lever" driving effect improvements. However, not all chat records have equal value. This article provides algorithm engineers and product teams with a detailed set of "effective question" filtering standards, teaching you how to accurately identify high-value samples from complex conversationsβsuch as task failures, intent misunderstandings, negative emotions, and fallback responses. Mastering these filtering standards will help you pinpoint model weaknesses and efficiently use data to drive continuous improvement in Agent effectiveness and performance.
This article delves into the transformative methodology of Spec-Driven Development (SDD) and provides a deep dissection and strategic comparison of four trend-setting open-source projectsβBMAD-METHOD, GitHub's spec-kit, OpenSpec, and PromptX.
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A complete guide to the Claude Agent SDK, covering architecture, queries, custom MCP tool extensions, the Hook system for automation, debugging, and implementation.
The browser extension development landscape of 2025 is characterized by increasing complexity, driven by the mandatory transition to Manifest V3 (MV3) and persistent cross-browser API inconsistencies. In this challenging environment, a clear market leader has emerged. Analysis of the available frameworks, their feature sets, developer experience, and ecosystem health indicates that **WXT** has established itself as the definitive leading framework for modern browser extension development. This leadership position is founded on its superior developer experience, a robust and flexible feature set, a framework-agnostic architecture that offers broad compatibility, and, most critically, a track record of active and reliable open-source maintenance.
you can easily see who has starred your GitHub repository. Here's the simplest way to do it.
This article will detail various methods for setting PYTHONPATH on Windows, macOS, and Linux systems, as well as several convenient and recommended ways to set module search paths for Python projects in Visual Studio Code (VS Code).
A collection of useful Tailwind CSS tips and tricks for common styling challenges
Transform your PocketFlow workflows from black boxes into fully observable, debuggable systems with just one line of code
Learn how to leverage MCTS algorithms to improve customer interactions in chat systems
A curated list of open-source projects related to Manus technology stack
A deep dive into ZeroTier's security architecture, potential risks, and best practices for secure deployment
A detailed introduction to Model Context Protocol (MCP), an open protocol that provides standardized context transmission for AI applications