11 related articles

A complete guide to OpenAI's Codex desktop app: installation, Plugins, Skills, Agent.md setup, and multi-task parallel execution for the ultimate AI Agent.

Deep dive into Claude Code's Skill mechanism: progressive loading principles, differences from CLAUDE.md/MCP, four creation methods, and advanced features.

In-depth review of OpenAI Codex App's five core features: Streets parallel development, deep Git integration, Skills system, Automation tasks, and MCP support.

Deep dive into Claude Code internals: stateless model principles, four-layer prompt assembly, Agentic Loop execution, permission control, and reusable Skills workflow templates for agentic engineering.

5 advanced Claude Code Skill techniques — Prompt Optimizer, Deep Interview, Real Plan, Code Simplifier, and Skill Creator — to build reusable AI workflows that reduce rework and boost precision.

Deep dive into OpenAI Codex Agent's core features, Skill ecosystem, context compression, and project-level Harness management tips from 660M tokens of real-world usage.

A deep dive into Claude Code's built-in Skill Creator feature — learn how to use natural language to have AI automatically create custom skills, enabling fully automated tool-building workflows.
TutorialsA detailed guide to OpenAI Codex desktop app's multitasking workflow, covering iOS development, web deployment, design integration, video production, investor decks, and social media automation.
TutorialsDeep dive into Coze's Skill feature: progressive disclosure concepts, practical cases in comic generation and contract review, two creation methods, and layered SOP design principles.
Codex Desktop App Hands-On Tutorial: 1…
A detailed guide to 15 core use cases for OpenAI's Codex desktop app, covering file management, website development & deployment, browser control, Computer Use, Skills, MCP services, and automation.
TutorialsDeep dive into Claude Skills 2.0: two skill types, the new skill creator, evaluation system, and a cold email marketing case study that boosts task pass rates from 40% to 100%.