#Skills script execution
926 related articles
·3 min
AI Project Memory Systems: Building a Continuously Accumulating Context Architecture in Four Stages
As models get stronger, why does the experience feel worse? The root cause is missing context. This article breaks down four stages—project descriptions, progressive disclosure, intra-memory, and three guardrails—to build a sustainable AI project memory system.
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·2 min
Claude Desktop's Record Skill: Demonstrate Once, and AI Handles the Repetitive Work Automatically
Claude Desktop's new Record Skill: no prompt writing needed—just record a demo once, and AI learns and reuses the entire workflow. Two real-world cases explained.
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·1 min
Becoming an AI Agent Engineer: A Detailed 4-Week Hands-On Learning Roadmap
Want to become an AI Agent engineer? This article breaks down a 4-week roadmap: from core agent architecture and ReAct, to multi-agent collaboration and real projects.
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·2 min
Breaking Down the AI Agent Execution Flow: How Tools and Skills Work Together
A deep dive into how AI Agents execute tasks: clarifying the core difference between Tools and Skills, and reconstructing the complete eight-step execution flow from understanding goals to delivering results.
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·2 min
Breaking Down the AI Agent Execution Flow: How Tools and Skills Work Together
An in-depth look at how AI Agents execute tasks: clarifying the difference between Tools and Skills, and reconstructing the complete eight-step flow from understanding goals to delivering results.
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·1 min
AI Agents Rebuild the Entire Testing Workflow: A Paradigm Revolution from LLMs to Agents
An in-depth look at how AI Agents are disrupting traditional software testing: the core differences between LLMs and Agents, four capability dimensions (planning/memory/tools/skills), and how test engineers can achieve 10x efficiency gains in test case generation.
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·1 min
AI Agents Reshape the Testing Workflow: A Paradigm Revolution from LLMs to Agents
An in-depth look at how AI Agents disrupt traditional software testing: the core differences between LLMs and Agents, four capability dimensions (planning/memory/tools/skills), and how testers achieve 10x efficiency gains.
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·3 min
Claude Code for Absolute Beginners: A Step-by-Step Guide (Install + Connect an LLM + Hands-On Practice)
How do complete beginners get started with Claude Code? This guide covers VS Code setup, two ways to connect an LLM in China, four core usage modes, and building your first practical tool without writing a single line of code.
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·2 min
Claude Code + Skills in Action: Auto-Generate Production-Ready Test Cases in 10 Minutes
A developer shares a test case automation solution built on Claude Code + Skills: encapsulating requirement splitting, test point extraction, and case generation into independent Skills. The full workflow takes under 10 minutes.
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·2 min
Getting Started with Claude Code: A Complete Guide to Installation, Configuration, and Git Workflows
An in-depth guide to Claude Code from installation to hands-on practice: CLI setup, switching to domestic LLMs (CC Switch tool), conversational Git workflows, plus project analysis and automated bug fixing tips for AI-powered coding.
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·2 min
Claude Code From Zero to Production: Installation, Switching to Chinese LLMs, and Git Workflow Guide
A complete guide to Claude Code: Node.js setup, CLI install, switching to Chinese LLMs with CC Switch, core commands, and conversational Git workflows with automated bug fixing.
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·2 min
Can One Skill Transform All Skills? The Boundary Debate Between Dify Workflows and Agents
A recursive technical proposition: Can we build a "meta-Skill" that auto-transforms any Skill into a Dify workflow? This article dissects the boundary between deterministic orchestration and autonomous Agent decisions.
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·3 min
Installed Codex But Don't Know What to Build? Find Real Needs with the "Friction Point" Mindset
Installed Codex or Claude Code but don't know what to build? This real-world browser extension case reveals the core methodology of the AI coding era: start from your own and others' "friction points" to find projects worth doing.
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·4 min
OpenAI Merges Codex and ChatGPT: Deep Dive into Three New Models + Agent Workflows
OpenAI merges Codex and ChatGPT into a unified platform while launching three new models: SOUL, TERRA, and LUNA. Deep dive into Computer Use, loop workflows, multi-threading, and the Agent Native strategy.
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·7 min
Enterprise AI Agent Security Isolation and Memory Design: NanoClaw Founder Breaks Down Real-World Lessons
NanoClaw founder David Boyd breaks down the core engineering of enterprise autonomous Agents: a triple security isolation model, LLM Wiki memory design, and the real-world path from personal Agents to team-scale deployment.
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·8 min
A Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.
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·8 min
The Complete Guide to Agent Testing: Five Core Dimensions and Automation in Practice
An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.
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·4 min
Making $3,000/Month Freelancing with Codex? A Rational Look at AI Coding Side Hustles
Can AI coding tools really earn you $3K/month with zero experience? We break down the marketing hype around Codex freelancing, examine the 4-week roadmap, and reveal what AI-assisted coding can realistically offer.
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·6 min
Making Money with AI Coding Gigs: A Sober Breakdown and Honest Assessment of the Four-Week Learning Path
Can beginners really earn over 10,000 yuan in their first month with AI coding gigs? This article breaks down the four-week AI coding learning path week by week and objectively assesses the real monetization barriers.
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·3 min
The Complete Beginner's Guide to Vibe Coding: Core Logic and Practical Learning Path
Vibe Coding is the new AI-era programming paradigm. Describe what you want in plain language; let AI generate the code. Learn the 3-stage path: mindset, quality, and real projects.
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