OpenClaw Chinese Edition: The Ultimate Guide to Building Your Localized AI Personal Assistant In the realm of personal computing, AI assistants are shifting from cloud-dependent silos to local, privacy-first powerhouses. For technical users and privacy advocates, the challenge lies in finding a platform that not only integrates deeply with daily workflows but also remains entirely under your control. This article answers the core question: As a user seeking efficiency, how can I leverage the OpenClaw Chinese Translation release to rapidly build a personal AI assistant that runs locally, supports multi-platform interaction, and features a fully localized interface? We will dive …
The Complete Guide to OpenAI Skills: Supercharge Your AI Coding Assistant with 38 Powerful Tools In the era of AI-assisted development, developers are no longer satisfied with AI generating simple code snippets. We expect it to act like a senior engineer capable of executing complex tasks, from deploying applications to conducting security audits. This guide provides an in-depth analysis of the OpenAI Skills repository, a powerful ecosystem containing 38 skills designed to extend the capabilities of Codex (OpenAI’s coding agent). We will explore how these skills work, how they are categorized, and how they can transform a generic AI assistant …
OpenAI Codex Desktop: The Evolution from Command Line to AI Agent Command Center OpenAI has officially launched the desktop application for Codex, marking a significant evolution of its AI coding assistant from a simple command-line tool to a fully functional graphical “Command Center.” For developers and engineering teams, this is not merely a UI update; it represents a paradigm shift in workflow management. The core question this article answers: How does the release of the OpenAI Codex Desktop App redefine the boundaries and efficiency of AI-assisted software development through multi-agent parallelism, automated tasks, and a reusable skill system? 1. Core …
How to Build a 24/7 DingTalk AI Employee in 4 Steps: A Practical Cloud Deployment Guide with Clawdbot How can you build a DingTalk AI digital employee that works 24/7 with minimal cost and the simplest process? The answer lies in leveraging Alibaba Cloud’s infrastructure and large model capabilities through Clawdbot, an automation solution that quickly constructs an intelligent robot capable of participating in group chats and private conversations. Based strictly on technical deployment documentation, this guide will walk you through the entire process from environment preparation to going live. Why You Need a DingTalk AI Employee It is not …
A Comprehensive Guide to Integrating Kimi K2.5 into a Remotion Project Following the enthusiastic reception of yesterday’s tutorial on running Kimi K2.5 with Clawdbot, we have received significant feedback regarding how to integrate this powerful tool into video generation workflows. This article serves as a detailed technical guide, walking you through the configuration and usage of Kimi K2.5 within a Remotion project, step by step. Core Question: How can the AI capabilities of Kimi K2.5 be seamlessly integrated into the Remotion video development workflow? To put it simply, you need to complete two key phases of preparation: first, install and …
Comprehensive Guide to PolyMCP: Unlocking AI-Driven Development Efficiency Core Value Analysis What is PolyMCP? PolyMCP represents a groundbreaking toolkit designed to streamline the development of modular command platforms (MCP). It integrates Python functions, third-party services, and large language models (LLMs) through a unified interface supporting HTTP, stdio, and in-process communication. This solution empowers developers to create automated workflows across heterogeneous tools while ensuring production-grade security and observability[^1.1^][^3.2^]. Key Technical Advantages: Dual Language Support: Compatible with both Python and TypeScript ecosystems. LLM Integration: Native support for OpenAI, Anthropic (Claude), Ollama, and other providers. Visual Monitoring: PolyMCP Inspector enables real-time tracking of …
N8N vs. LangGraph: Which AI Orchestration Platform Is Right for Your Business Needs? As AI agents become more powerful and autonomous, choosing the right orchestration platform has become a critical decision for project success. Among the myriad of tools available, N8N and LangGraph stand out with their distinct approaches to building intelligent workflows. This article delves into their core differences, use cases, and decision logic to help developers, startups, and automation architects make the smartest choice for their specific needs. The Core Question This Article Answers: When building intelligent workflows, should I choose the visual, low-code platform N8N, or the …
How to Use add-skill to Instantly Add Powerful Skills to Your AI Coding Agents If you’re working with AI coding assistants like Cursor, Claude Code, OpenCode, Codex, GitHub Copilot, or any of the other 20+ supported tools in 2026, you’ve probably noticed something: they’re incredibly capable generalists, but they often need specific guidance to match your team’s conventions, project standards, or workflow preferences. That’s where Agent Skills come in — a shared, open format that packages reusable instructions into neat, portable modules. Each skill lives in its own folder with one key file: SKILL.md. Inside that file you’ll find clear …
FastScheduler: A Clean, Decorator-First Task Scheduler for Python If you’ve ever needed to run background tasks in a Python application—whether it’s sending daily reports, checking API health every few minutes, syncing data on weekdays, or generating monthly summaries—you’ve probably wrestled with scheduling libraries. Options like schedule, APScheduler, Celery (with beat), or even plain cron all work, but each comes with trade-offs: too basic, too heavy, complex setup, poor async support, or state loss on restart. FastScheduler takes a different approach. It’s a lightweight, modern Python library that prioritizes: Extremely readable decorator-based syntax Native async/await support Built-in persistence (survives restarts) Timezone-aware …
Cowork: Claude’s New Feature That Lets Everyone Work as Efficiently as Developers Snippet Cowork is Anthropic’s research preview feature that enables users to grant Claude access to local folders for automated file reading, editing, and creation workflows. Built on the Claude Agent SDK, this macOS-compatible tool provides non-developers with the same agentic capabilities as Claude Code, handling complex tasks like file organization, data extraction, and report generation. What do you do when your downloads folder is cluttered with hundreds of randomly named files, or when you need to compile an expense list from a pile of screenshots? Manually organize them …
Beyond Code: Building Your First Non-Coding AI Workflow with Claude Agent SDK Have you ever wondered what the powerful engine behind Claude Code—one of the best coding tools available—could do besides writing code? As a developer who has long explored the boundaries of AI automation, I’ve been searching for more lightweight and direct solutions for building agents. While mainstream frameworks like CrewAI and LangChain continue to grow in complexity, I decided to turn my attention to an unexpected tool: the 「Claude Agent SDK」. My hypothesis was simple: if it can give AI exceptional coding capabilities, then applying its core principles—tool …
Snippet: Act2Goal is a pioneering robotic manipulation framework that integrates a goal-conditioned visual world model with Multi-Scale Temporal Hashing (MSTH). By decomposing long-horizon tasks into dense proximal frames for fine-grained control and sparse distal frames for global consistency, it overcomes the limitations of traditional policies. Utilizing LoRA-based autonomous improvement, Act2Goal scales success rates from 30% to 90% in complex tasks like 2kg bearing insertion and high-precision writing. § From Imagination to Execution: How Act2Goal Redefines General Long-Horizon Robot Manipulation In the evolution of robotics, a persistent chasm has existed between “understanding a task” and “executing it with precision.” While large …
When Slack Conversations Generate Code: The Workflow Revolution of Claude Code’s Deep Integration Have you ever experienced this scenario? Your team is having a lively discussion in a Slack channel about a newly discovered bug, describing reproduction steps, sharing screenshots, and logs. The discussion starts to converge, and someone concludes: “Okay, I’ll note this down and look into it in the IDE later.” — The context switches at this point, momentum can be lost, and an efficiency gap is created. Today, that gap is being bridged by technology. Imagine in that same discussion, you could simply @mention a teammate who …
🎬 Lingarr: A Smarter Way to Translate Subtitles Automatically In today’s world of global video content—from YouTube channels to international streaming platforms—subtitles play a vital role in connecting creators and audiences across different languages. Yet for anyone who has tried to translate subtitles manually, the process often feels tedious, inconsistent, and time-consuming. If you’ve ever asked yourself: “ “Why is subtitle translation still so complicated?” Then Lingarr might be exactly the tool you’ve been looking for. Designed with simplicity, automation, and flexibility in mind, Lingarr is an open-source application that lets you translate subtitles into multiple languages effortlessly, using your …
As a developer who frequently works with automated workflows, have you ever faced this frustration: you want to connect N8N’s powerful automation capabilities to the WeChat ecosystem, but struggle to find a straightforward solution? Whether you need to send automated notifications to clients or push AI-generated content to work groups, WeChat—China’s most ubiquitous social platform—remains an indispensable part of many workflows. Today, I’m excited to introduce a tool that solves this pain point: the Xiyangshi AI WeChat Plugin (officially named n8n-nodes-weixin-wechat). This plugin acts as a bridge, enabling seamless communication between N8N and both personal WeChat and Enterprise WeChat, unlocking …
Revolutionizing Robotic Control: How Large Language Models Solve Inverse Kinematics Challenges Robotic Arm Analysis Introduction: The New Era of Robotic Programming Inverse kinematics (IK) calculation – the process of determining joint parameters to achieve specific end-effector positions – has long been the cornerstone of robotic control. Traditional methods required manual mathematical derivation, a process both time-consuming and error-prone. Our open-source project introduces a paradigm shift by leveraging Large Language Models (LLMs) to automate this complex computational task. Core Functionality Breakdown Five Intelligent Solving Modes id: solving-modes-en name: Solving Modes Diagram type: mermaid content: |- graph TD A[Start Solving] –> B{Existing …
Unified MCP Client Library: The Open-Source Bridge Between LLMs and Tools In the fast-evolving world of artificial intelligence, large language models (LLMs) such as OpenAI’s GPT series and Anthropic’s Claude are transforming how developers build smart applications. To unlock their full potential, integrating these models with external tools—like web browsing, file management, or 3D modeling—is often essential. However, this process can be complex and time-intensive. That’s where the Unified MCP Client Library (MCP-Use) comes in—a powerful, open-source Python library designed to make this integration seamless. MCP-Use enables developers to connect tool-calling LLMs to MCP (Multi-Capability Protocol) servers and create custom …