#reusable capability framework
541 related articles
·3 min
Claude Code Skills in Practice: A Progressive Guide to AI Programming from Writing Code to Writing Skills
A practical guide to Claude Code Skills development covering the three-level progression path, Codex vs Claude Code selection strategy, and enterprise secondary development techniques.
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How Hexapod Robots Achieve Walking and Self-Leveling: Core Technical Analysis
Deep dive into the technical challenges of hexapod robot walking with self-leveling, covering gait planning, inverse kinematics, IMU feedback, and real-time control system integration.
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Agent Context Management: An Architecture Design Guide for Memory and Cost
A deep dive into LLM agent context management architecture, covering layered memory design, context compression, and token cost optimization strategies.
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·4 min
AI Large Language Models + MCP Protocol: A Hands-On Tutorial for Fully Automated Unity Digital Twin Construction
Learn how AI LLMs paired with MCP servers can fully automate Unity digital twin construction without manual operations. Covers MCP setup, Claude Code integration, and auto-generated conveyor scenes.
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·1 min
Vibe Coding Practical Guide for Beginners: The Complete Path from Idea to Your First Project
How can beginners use Vibe Coding to build their first project? This guide covers the complete pipeline from expressing requirements and task decomposition to debugging and version control.
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How Can Junior Data Analysts Grow Without a Mentor?
How can junior data analysts grow in isolated environments without mentors? Practical strategies including finding external mentors, building quality checklists, and accumulating leverage for career moves.
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ComfyUI MCP Open-Sourced: Build AI Image Generation Workflows with Natural Language
ComfyUI officially open-sources Comfy MCP, letting users build AI image generation workflows with natural language via the MCP protocol. Full deployment guide and demo review included.
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Top 10 Hottest AI Skills in the Programming World: From Methodologies to Workflows Fully Explained
In-depth review of the 10 hottest AI Skills in programming, covering Super Powers, MCP Builder, Composio and more—how Skills enable structured workflows, automated testing, and external connections.
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LangChain in Practice: A Complete Guide to Building Safe and Controllable AI Agents
Deep dive into LangChain's three-layer ecosystem (LangGraph, LangChain, DeepAgents), with detailed coverage of Guardrail and HITL safety strategies for building secure, controllable AI Agents.
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·4 min
AI-Powered APP Reverse Engineering: Using LLMs to Automatically Patch Browser Environments
Learn how to use LLMs like GPT and DeepSeek to automate browser environment patching in APP reverse engineering, compressing hours of manual work into minutes.
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Harness Engineering: A New Paradigm for Multi-Agent Architecture Explained
Deep dive into Harness Engineering's seven core capabilities including tool calling, memory, planning, execution loops, and sandbox security. Learn the evolution from Prompt Engineering to Context Engineering to Harness Engineering.
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iKanban 0.5.0 Update Analysis: Preceder Reproducible Agent Mechanism and iPaper Academic Collaboration
iKanban 0.5.0 introduces the Preceder mechanism for reproducible Agent runtime, plus iPaper for AI paper collaboration. Deep dive into architecture and features.
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LangChain in Practice: Why It Remains the Core Framework for Agent Development
Why learning the LangChain framework beats chasing AI tools like Cursor and Claude Code. Covers Agent development thinking, token planning, and LangGraph.
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How to Choose an AI Agent Framework? Azure AI, Semantic Kernel, and AutoGen Compared in Practice
A systematic comparison of Azure AI Agent Service, Semantic Kernel, and AutoGen—three major AI Agent frameworks—covering positioning, use cases, and hands-on code examples to help developers make the right choice.
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GitHub Daily · August 25: From Foundation Model Frameworks to the 'Laziest Senior Developer' Agent
GitHub Trending Aug 25: ponytail's 'laziest senior dev' philosophy earns 110K+ Stars, marin opens foundation model R&D, and Claude Code's plugin ecosystem matures.
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·2 min
GPT-Image2 Prompt Engineering: From 470+ Reverse-Engineered Cases to Industrial-Grade Templates
Deep dive into awesome-gpt-image-2: 470+ reverse-engineered cases, 20+ industrial templates, and a Skills layer implementing the Prompt as Code methodology for systematic AI image generation.
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·2 min
OpenHuman: Building a Local-First Personal AI Super Brain with Rust
OpenHuman is an open-source personal AI project built with Rust, featuring local-first memory architecture, multi-agent orchestration, and deep research capabilities. With over 36,500 GitHub stars, it aims to return AI power to individuals while keeping data local.
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·4 min
Building an AI Digital Employee Customer Service System: Full Project Retrospective — 30-Day Delivery for $11K
A detailed retrospective of a real AI customer service commercialization case: 2-person team, 30-day delivery, $11K budget. Deep dive into tech stack, RAG architecture, and AI-human routing design.
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GitHub Daily · August 24: The Claude Code Ecosystem Explodes
GitHub Trending Aug 24: Four projects built on Claude Code signal its evolution into a programmable Agent runtime; Karpathy's single-file config hits 200K stars.
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Spring AI 2.0 in Practice: A Complete Guide to Building a Code Generation Agent from Scratch
Learn how Spring AI 2.0 natively supports Agent development. Build a code generation assistant by reverse-engineering Claude Code's architecture with Agent Utils, covering task planning, long-term memory, and Tools invocation.
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