#agent skills
1515 related articles
·3 min
AI Coding Agents in Practice: An Efficient Configuration Guide for Cursor and Codex
How to configure Cursor, Codex, Devin, and other AI coding agents for context management, code quality, and cross-tool collaboration. Practical tips on rule files, TDD, and structured context storage.
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Cognitive Outsourcing: Are We Delegati…
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Cognitive Outsourcing: Are We Delegating Too Much Thinking to AI?
Are AI tools like ChatGPT and Copilot eroding our critical thinking? Explore the risks of cognitive offloading, how AI dulls judgment, and how to maintain healthy boundaries.
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Carmack × Sutton: Teaching AI Robots to Play Atari in the Real World
John Carmack and Turing Award winner Richard Sutton co-founded Keen Technologies. Their debut paper Physical Atari has robots playing real Atari games via cameras and mechanical controllers in real time.
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AI Agent Development for Beginners: A Three-Phase Learning Roadmap
A structured zero-to-one roadmap for AI Agent development: Phase 1 covers Python & LLM basics, Phase 2 tackles five core Agent capabilities and LangChain/LangGraph, Phase 3 delivers hands-on RAG projects.
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ChatGPT Integrates Codex: A Full Hands-On Breakdown of Work and Codex on Desktop
ChatGPT desktop gets a major upgrade, integrating Codex into new Work and Codex modules. Hands-on tests cover auto PPT generation and full AI video production pipelines.
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TradingAgents-astock: A Practical Guide to the Multi-Agent Research Framework for A-Share Markets
TradingAgents-astock is a multi-agent A-share research framework with free domestic data sources, seven debating analyst agents, and support for DeepSeek, Qwen, and more.
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Cherry Studio + MCP + Ollama: The Complete Guide to Building a Local AI Agent and Private Knowledge Base
A hands-on guide to building a local AI agent and private knowledge base using Cherry Studio, MCP, and Ollama — with web scraping, report generation, and terminal control.
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GitHub Daily · July 17: AI Coding Infr…
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GitHub Daily · July 17: AI Coding Infrastructure Explodes — From Context Graphs to Vector Indexes
AI coding infrastructure explodes on GitHub: context management, code graphs, and vector indexes become the new battleground as the community shifts from apps to underlying capabilities.
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The Truth About Codex Ultra Mode: It's Not a Reasoning Level
Deep dive into OpenAI Codex's Ultra mode: it's not a reasoning level but a system prompt switcher. Learn why Ultra burns tokens, the V1/V2 agent system issues, and how Claude Code Workflows gets it right.
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Continual Learning and AGI: Conceptual Confusion, Core Bottlenecks, and the Real Challenges
Dario Amodei and Demis Hassabis both call continual learning key to AGI, yet the term remains undefined. This article clarifies five interpretations and analyzes three core bottlenecks.
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The Four Core Concepts of AI Agents Explained: Function Calling, Tool, MCP, and Skill
A clear breakdown of the four core AI Agent concepts: Function Calling, Tool, MCP, and Skill — understand the full tech stack behind intelligent agent development.
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Waku Agent Deep Dive: The Four Core Pillars of a Local-First AI Assistant
A deep dive into Waku Agent's four pillars: Loop Engineering, three-tier Memory system, Eval assessment, and the Harness scaffold. Full walkthrough of a local-first AI assistant from task execution to memory consolidation.
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AI Skill Auto-Generates Test Cases: Say Goodbye to Manually Transcribing PRDs
Test engineers: use the AI Skill 'Doc-based Test Case Generator' to auto-generate structured test cases from PRDs or screenshots, covering boundary values, negative scenarios, and more.
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Building RL-Powered Autonomous Researc…
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Building RL-Powered Autonomous Research Agents with NVIDIA NeMo
How NVIDIA NeMo combines reinforcement learning to train agent skills and build an Autoresearch workflow capable of autonomously running ML experiments end-to-end.
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Coze for Beginners: A Complete Guide to Building AI Agents
Coze is ByteDance's low-code AI Bot platform — no coding required. Learn the differences between domestic and international versions, core features, and why now is the best time to start building AI agents.
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AI Buzzword Bubble: How Psychology Research Exposes the Cognitive Traps of Corporate Jargon
A psychology study on corporate buzzword receptivity reveals the cognitive traps behind AI industry hype. Why do jargon-speakers outshine engineers? A deep dive.
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How Does AI Track Ancient Roman Thieve…
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How Does AI Track Ancient Roman Thieves? A Deep Dive into Antigravity's Historical Reasoning
Google Antigravity's 'Predicting the Past' skill tracks Roman thefts, maps ancient cult diffusion across Europe, and reconstructs Greek oracle social networks — revealing AI's transformative potential for humanities research.
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unDream AI in Practice: One-Click Storyboard-Driven Video Generation with Agent + Skill
unDream AI workflow tested: activate the Expert Director Storyboard Skill via Agent, generate annotated storyboards from reference images, then refine and render video in one seamless pipeline.
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Vibe Coding in Practice: A Complete Guide for Non-Developers Building Business Tools with AI
Vibe Coding lets non-developers build real business software with AI. Explore Claude Code, Lovable, Replit, and Cursor — and learn how to build AI Agent workflows for your business.
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SJTU Professors Open-Source Agent Tutorial: A Four-Stage Path from Zero to AI Engineer
SJTU professors open-source a 4-stage Agent tutorial on GitHub, covering LLM basics, ReAct, multi-agent systems, and real-world projects — a practical path to AI engineering.
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