#MCP skills
442 related articles
·2 min
Complete Tutorial: Installing MCP Connector in WorkBuddy and Syncing Skills Across AI Workstations
Step-by-step guide to installing MCP connector in WorkBuddy and syncing Skills across Cursor and other AI workstations via AI conversation.
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·3 min
Agent Skills Explained: Solving the MCP Context Bloat Problem
Deep dive into Anthropic's Agent Skills mechanism, explaining how Progressive Disclosure solves MCP context bloat and tool calling accuracy issues in AI agents.
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·1 min
The Challenge of Managing 50 AI Skills: Achieving Smart Auto-Invocation with the MCP Protocol
When your AI skill library grows to 50, repeated installs, difficult searches, and memory overload become core pain points. This article introduces an MCP-based unified management tool.
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·3 min
The AI Coding Landscape: Model Tiers, Tool Camps, and a Deep Dive into MCP/Skills/CLI
A systematic map of today's AI coding landscape: the evolution from ChatGPT to Claude Code, LLM capability tiers, tool camps like Cursor/Copilot, and the three key weapons of the Agent era — MCP, Skills, and CLI.
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·3 min
MCP + Skills AI Reverse Engineering Toolchain: Technical Capabilities and Compliance Boundaries
A technical deep-dive into AI-assisted reverse engineering: how MCP, Skills libraries, and Frida toolchains work together, their real capability limits, and the legal boundaries of iOS/Android/Web reverse analysis.
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·2 min
MCP vs. Skills: A Clear Breakdown of AI Agent Architecture Layers
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.
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·8 min
MCP Server or Agent Skills? A Clear Guide to Architecture Decision-Making
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.
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·4 min
AI Keeps Failing at Writing Code? You Need Knowledge Bases, Skills, MCP, and Agents — All of Them
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.
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·3 min
The Essential Difference Between Agent Skills and MCP: Process Layer vs. Capability Layer
Deep dive into the essential difference between Skill and MCP in AI Agent development. Skill handles the process layer for codifying workflows; MCP handles the capability layer for connecting external systems.
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·3 min
MCP vs Skills: Understanding the Key to AI Testing Efficiency
Understand the key differences between MCP (Model Context Protocol) and Skills through practical analogies and real testing scenarios to boost AI-driven test automation efficiency.
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·3 min
Claude Code Skills and MCP Resources: A Complete Guide from Beginner to Expert
A comprehensive guide to Claude Code Skills and MCP resources, covering international platforms like Skills.mp and Smithery plus Chinese alternatives, with a quick selection guide to boost AI coding productivity.
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·3 min
Agent Skills Architecture Explained: Modular AI Agent Development and How It Differs from MCP
Deep dive into Anthropic's Agent Skills architecture: modular skill loading, core concepts, enterprise value, and how it fundamentally differs from MCP.
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·2 min
Advanced RAG Systems: Building Energy Storage Industry Agents with MCP and Skills
Learn how MCP protocol and Skills framework upgrade traditional RAG into autonomous agents for energy storage, connecting SCADA, BMS, and EMS systems.
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·1 min
Practical Guide: Auto-Generating JD.com H5ST Encryption Parameters with AI + Skills + MCP
Learn how to use AI with Skills prompts and MCP tools to auto-generate JD.com H5ST encryption parameters, replacing tedious manual environment patching.
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Tutorials·3 min
Supabase Real-World Testing: How MCP+Skills Enable AI Agents to Safely Operate Databases
Supabase's experiments show how MCP+Skills solve security gaps when AI agents operate databases, with three key principles for writing effective Agent Skills.
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Deep Dives·3 min
Deep Dive into MCP Code Execution & Agent Skills: Compressing 150K Tokens Down to 2,000
Deep analysis of two MCP ecosystem breakthroughs: code execution compresses tool definitions from 150K to 2K tokens, and Agent Skills enable capability packaging and reuse.
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·4 min
Getting Started with Claude Code: Environment Setup, Common Commands, and Git Workflow in Practice
A detailed guide to Claude Code installation, domestic model switching, project analysis commands, and Git workflow practice to help developers quickly master this AI programming collaboration tool.
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·3 min
Kimi K3 Real-World Testing in 3D Modeling & Game Development: Can Open-Source Models Overtake Closed-Source Giants?
In-depth testing of Kimi K3 in 3D modeling, physics simulation, animation rigging, and game development vs Fable 5 and GPT Solve 5.6. Open-source model delivers top-tier results at one-quarter the price.
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·3 min
Kimi K3 Hands-On: 3D Modeling & Game Development — Can an Open-Source Model Outperform Closed-Source Giants?
Hands-on testing of Kimi K3 in 3D modeling, physics simulation, animation rigging, and game development versus Fable 5 and GPT Solve 5.6. The open-source model delivers top-tier results at a quarter of the price.
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·4 min
Harness Engineering: The Core Infrastructure for Taking AI Agents from Demo to Production
Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to go from demo to production.
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