Tagged articles

Skills

177 articles · Page 1 of 2
Java Architect Essentials
Java Architect Essentials
Aug 12, 2026 · R&D Management

Why Longer Prompts Fail: Codex Team’s Four‑Layer Workflow Architecture

The article analyzes how overloading a single prompt with rules, methods, data, and timing leads to inefficiency, and proposes a four‑layer Codex workflow—AGENTS.md for long‑term rules, Skills for reusable methods, MCP for external data, and scheduled tasks for stable execution—illustrated with concrete examples and CI integration.

AGENTS.mdAI workflowAutomation
0 likes · 6 min read
Why Longer Prompts Fail: Codex Team’s Four‑Layer Workflow Architecture
IT Services Circle
IT Services Circle
Aug 12, 2026 · Artificial Intelligence

Mastering Codex: From AGENTS.md to Hooks – A Complete Guide

This article walks through Codex's five core engineering features—AGENTS.md, Skills, Subagents, the Model Context Protocol (MCP), and Hooks—explaining their purpose, how to create and configure them, and providing concrete examples, command snippets, and directory structures to help developers integrate these capabilities into their projects.

AGENTS.mdAI toolingCodex
0 likes · 21 min read
Mastering Codex: From AGENTS.md to Hooks – A Complete Guide
Java Architecture Diary
Java Architecture Diary
Aug 7, 2026 · Artificial Intelligence

Why Skills v1.2 Is a Must-Have for AI Coding (Matt’s Top 5 Skills Lead the Leaderboard)

The new Skills v1.2 release adds Claude Code plugin support, revamps the grilling workflow to cut interaction rounds, and introduces three practical new skills—/wizard, /to-questionnaire, and /wait-what—while refactoring existing ones, offering a focused solution to the maintainability problems of AI‑generated code.

AI codingClaude CodePrompt Engineering
0 likes · 8 min read
Why Skills v1.2 Is a Must-Have for AI Coding (Matt’s Top 5 Skills Lead the Leaderboard)
IT Services Circle
IT Services Circle
Aug 2, 2026 · Artificial Intelligence

How to Engineer Claude Code: CLAUDE.md, Skills, Subagents, MCP, Hooks & Plugins

The article explains how to turn Claude Code from a forgetful assistant into a fully engineered AI coding partner by using CLAUDE.md for project context, Skills for reusable knowledge, Subagents for parallel tasks, MCP for external tool integration, Hooks for enforceable rules, and Plugins for easy distribution.

AI EngineeringClaude CodeHooks
0 likes · 24 min read
How to Engineer Claude Code: CLAUDE.md, Skills, Subagents, MCP, Hooks & Plugins
Java Tech Enthusiast
Java Tech Enthusiast
Jul 28, 2026 · Artificial Intelligence

Why You Can Ditch Most Superpowers Skills in the GPT‑5.6 Era

With GPT‑5.6, K3 and Claude Fable5 handling most routine coding steps, the author explains why many Codex Skills are now redundant, how progressive disclosure limits context, and offers a practical framework for deciding which Skills to keep, restructure, or discard.

AI codingAgentic WorkflowCodex
0 likes · 13 min read
Why You Can Ditch Most Superpowers Skills in the GPT‑5.6 Era
Old Zhang's AI Learning
Old Zhang's AI Learning
Jul 26, 2026 · Artificial Intelligence

ChatGPT Web Now Supports Skills – Unlocking a Hidden Cloud Computer

The author notes that the latest ChatGPT web interface has merged Codex‑like Skills and a cloud‑based sandbox, allowing users to upload and run over a hundred Skills without consuming Codex limits, effectively turning the service into an always‑on AI “cloud computer” for tasks such as file handling, document generation, and web automation.

AI automationChatGPTCloud Sandbox
0 likes · 7 min read
ChatGPT Web Now Supports Skills – Unlocking a Hidden Cloud Computer
Ray's Galactic Tech
Ray's Galactic Tech
Jul 26, 2026 · Artificial Intelligence

Add Reusable Templates to an AI Assistant with AgentScope 2.0.3

AgentScope 2.0.3 introduces a Skills layer that lets teams attach reusable, versioned work templates to AI assistants without writing code, separating business logic from runtime control, enabling fine‑grained governance, high‑concurrency isolation, task‑based execution, and robust observability for production‑grade deployments.

AI agentsSkillsTask queue
0 likes · 36 min read
Add Reusable Templates to an AI Assistant with AgentScope 2.0.3
IT Services Circle
IT Services Circle
Jul 24, 2026 · Artificial Intelligence

Why You Can Ditch Most Superpowers Skills in the GPT‑5.6 Era

With GPT‑5.6 and newer models handling most routine coding steps, many previously essential Skills become redundant, leading to context bloat, token waste, and security risks; the article proposes a three‑category framework to keep only lightweight, high‑value Skills and outlines concrete pruning criteria.

AI agentsAgentic WorkflowPrompt Engineering
0 likes · 14 min read
Why You Can Ditch Most Superpowers Skills in the GPT‑5.6 Era
JavaGuide
JavaGuide
Jul 23, 2026 · Artificial Intelligence

Goodbye Superpowers: Which Skills Are Worth Keeping After GPT‑5.6?

The article explains why, with stronger models like GPT‑5.6, many traditional coding Skills become redundant, outlines the progressive‑disclosure mechanism, highlights token and security costs, and provides concrete criteria and examples for deciding which Skills to retain or discard.

AI agentsAgentic WorkflowGPT-5.6
0 likes · 14 min read
Goodbye Superpowers: Which Skills Are Worth Keeping After GPT‑5.6?
Data Party THU
Data Party THU
Jul 23, 2026 · Artificial Intelligence

Why Adding Constraints Made This AI Coding Repo Go Viral

The article examines the popular GitHub repository mattpocock/skills, detailing how its four Claude Code skills—/grill-me, /tdd, /to-issues, and /diagnose—introduce deliberate friction into AI‑assisted programming, compares them with similar projects, and argues that the next wave of AI coding will prioritize disciplined, constraint‑driven workflows over raw speed.

AI codingClaudeGitHub
0 likes · 10 min read
Why Adding Constraints Made This AI Coding Repo Go Viral
AgentGuide
AgentGuide
Jul 20, 2026 · Artificial Intelligence

What Are Skills in AI Agents? A One‑Minute Overview of Their Principles and Usage

Skills are structured local folders that encapsulate domain‑specific processes, knowledge, and tools for large language models, enabling on‑demand loading, token efficiency, and reusable workflows, and they differ from one‑off prompts by persisting instructions and supporting templates, scripts, and reference materials.

AI agentsLarge Language ModelsOn‑Demand Loading
0 likes · 5 min read
What Are Skills in AI Agents? A One‑Minute Overview of Their Principles and Usage
Old Zhang's AI Learning
Old Zhang's AI Learning
Jul 17, 2026 · Artificial Intelligence

Why AI & Skills Are Now Essential for Real-World Work

The article explains how AI has moved from chat interfaces to full‑workflow automation, outlines a formula for building valuable AI agents, reviews emerging Chinese AI‑agent products, and provides five practical tips and a step‑by‑step framework for turning everyday tasks into repeatable, testable Skills.

AIAgentsProduct Review
0 likes · 19 min read
Why AI & Skills Are Now Essential for Real-World Work
Architect Chen
Architect Chen
Jul 16, 2026 · Artificial Intelligence

A Complete Guide to Claude Code Skills: How to Leverage AI‑Powered Coding Workflows

This article explains Claude Code Skills—a set of reusable, on‑demand skill bundles that standardize AI‑assisted coding tasks such as brainstorming, planning, testing, debugging, and code review—to lower communication overhead, improve consistency, and increase engineering controllability for developers and teams.

AI codingAutomationClaude Code
0 likes · 5 min read
A Complete Guide to Claude Code Skills: How to Leverage AI‑Powered Coding Workflows
LuTiao Programming
LuTiao Programming
Jul 3, 2026 · Backend Development

How Codex, Claude, Cursor, and ZCode Turn Java Development Standards into Executable Skills

The article analyzes how AI coding tools are shifting from merely generating code to enforcing Java team processes by converting development standards into reusable Skills, highlighting SSH synchronization, the distinction between Skills, AGENTS.md, MCP and Hooks, and practical recommendations for Java teams.

AI programmingAgentAutomation
0 likes · 13 min read
How Codex, Claude, Cursor, and ZCode Turn Java Development Standards into Executable Skills
ThinkingAgent
ThinkingAgent
Jul 3, 2026 · Industry Insights

Which AI Jobs Are Booming and Which Are Vanishing? A 2026 Skill‑Map Overview

In 2026 AI is reshaping the global job market at unprecedented speed, adding 170 million new roles while eliminating 92 million, with 22% of existing jobs fundamentally changed; the article breaks down the fastest‑growing and disappearing positions, emerging AI careers, salary trends, skill‑value shifts, and actionable strategies for individuals and enterprises.

AIAutomationSalary
0 likes · 22 min read
Which AI Jobs Are Booming and Which Are Vanishing? A 2026 Skill‑Map Overview
Java Tech Enthusiast
Java Tech Enthusiast
Jun 30, 2026 · Artificial Intelligence

Why Your Claude Code Skills Fail: Beyond Simple Markdown Steps

The article explains that Claude Code skills are full‑folder toolkits, not just markdown files, and that their description, progressive disclosure, categorisation, and usage limits determine whether Claude will ever trigger them, offering concrete best‑practice guidance.

AI toolingClaude CodeProgressive Disclosure
0 likes · 20 min read
Why Your Claude Code Skills Fail: Beyond Simple Markdown Steps
Frontend AI Walk
Frontend AI Walk
Jun 29, 2026 · Artificial Intelligence

How to Build a Robust AI Loop: The Six‑Component Toolkit and Common Pitfalls

The article breaks down loop engineering into five stages—discover, handoff, verify, persist, schedule—and shows how the six supporting components (Automations, Worktrees, Skills, Sub‑agents, Connectors, State) work together, highlighting brake‑point design, isolation strategies, skill definitions, checker patterns, and maturity levels to avoid costly failures.

AI loopsAutomationConnectors
0 likes · 13 min read
How to Build a Robust AI Loop: The Six‑Component Toolkit and Common Pitfalls
Goodme Frontend Team
Goodme Frontend Team
Jun 29, 2026 · R&D Management

When AI Miswrites Code, Try a Spec‑Driven Development Workflow

As AI coding tools like Codex, Cursor, and Claude become commonplace, teams face issues such as vague prompts, uncontrolled changes, and loss of context, which the Spec‑Driven Development (SDD) workflow addresses by structuring specifications, skills, agents, and hooks to guide AI reliably.

AI codingHooksOpenSpec
0 likes · 19 min read
When AI Miswrites Code, Try a Spec‑Driven Development Workflow
Java Tech Enthusiast
Java Tech Enthusiast
Jun 23, 2026 · Artificial Intelligence

Why 90% of Users Only Use CLAUDE.md: Exploring Claude Code’s 7 Customization Methods

The article reveals that most developers cram all rules into a single CLAUDE.md file, causing context overflow, and then walks through five real‑world scenarios, a three‑question decision framework, and a detailed breakdown of each of Claude Code’s seven customization mechanisms—including CLAUDE.md, Skills, Hooks, Rules, Sub‑agents, MCP Servers, and Settings—while highlighting common anti‑patterns and best‑practice solutions.

CLAUDE.mdClaude CodeHooks
0 likes · 31 min read
Why 90% of Users Only Use CLAUDE.md: Exploring Claude Code’s 7 Customization Methods
Linyb Geek Road
Linyb Geek Road
Jun 18, 2026 · Artificial Intelligence

Are Prompts Becoming Obsolete? A Deep Dive into Loop Engineering

Loop Engineering replaces manual prompt engineering with autonomous agent loops that discover, assign, verify, and record tasks, outlining five essential modules plus memory, while discussing token costs, verification responsibilities, and practical implementations in Claude Code and Codex.

AI agentsAutomationClaude Code
0 likes · 14 min read
Are Prompts Becoming Obsolete? A Deep Dive into Loop Engineering
JavaGuide
JavaGuide
Jun 17, 2026 · Artificial Intelligence

What’s the Difference Between Claude Code’s /loop and /goal Commands? An Interview‑Style Deep Dive

Loop Engineering repackages existing concepts like Agent Loop, ReAct, and Workflow Graph, focusing on how Claude Code’s /loop and /goal commands enable autonomous, token‑aware agent cycles with defined triggers, goals, context, verification, and stop conditions, while highlighting practical design patterns, risks, and best‑practice examples.

AI agentsAutomationClaude Code
0 likes · 26 min read
What’s the Difference Between Claude Code’s /loop and /goal Commands? An Interview‑Style Deep Dive
Machine Heart
Machine Heart
Jun 15, 2026 · Artificial Intelligence

Why Loop Engineering, Not Prompts, Will Be the Essential AI Skill in 2026

The article argues that by 2026 AI practitioners will be judged on their ability to design loop‑engineered systems—automated, self‑driving workflows for coding agents—rather than on crafting prompts, detailing the five core components, practical implementations in Claude Code and Codex, and the new risks and trade‑offs this paradigm introduces.

AIAutomationLoop Engineering
0 likes · 16 min read
Why Loop Engineering, Not Prompts, Will Be the Essential AI Skill in 2026
Black & White Path
Black & White Path
Jun 12, 2026 · Information Security

How Skills and MCP Influence AI‑Driven Vulnerability Discovery

The article reviews two recent posts on AI‑assisted security testing, explains how Skills can limit large‑model performance, argues that MCP provides richer tooling, and shares a practical Burp MCP workflow with code snippets for traffic analysis in vulnerability research.

AI AgentBurp SuiteMCP
0 likes · 6 min read
How Skills and MCP Influence AI‑Driven Vulnerability Discovery
Old Meng AI Explorer
Old Meng AI Explorer
Jun 11, 2026 · Artificial Intelligence

Master 98% of Codex’s Features in Just 35 Minutes

This tutorial walks you through configuring AGENTS.md, using over 30 slash commands, leveraging Plan and Comment modes, building reusable Skills, connecting external services via MCP, automating long‑running tasks with Goal, and enabling security scanning to unlock the full power of the Codex AI coding assistant.

AGENTS.mdAI coding assistantAutomation
0 likes · 17 min read
Master 98% of Codex’s Features in Just 35 Minutes
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jun 11, 2026 · Artificial Intelligence

Anthropic’s Internal Claude Code Skills: 9 Categories, Best Practices, and Lessons Learned

Anthropic reveals how its internal Claude Code Skills are organized into nine functional categories, why verification matters most, and five concrete guidelines for writing focused, reusable Skills, followed by advice on memory, scripts, hooks, and large‑scale distribution within teams.

AI toolingAnthropicAutomation
0 likes · 15 min read
Anthropic’s Internal Claude Code Skills: 9 Categories, Best Practices, and Lessons Learned
JavaEdge
JavaEdge
Jun 11, 2026 · Artificial Intelligence

Turning Prompt Engineering into Reusable Codex Skills: A Practical Guide

This guide details how to convert repeatable prompt‑engineering knowledge into reusable Codex skills, covering guiding principles, skill structure, workflow design, packaging as plugins, deployment strategies, testing methods, and governance to ensure reliable, secure, and maintainable AI‑driven workflows.

CodexPrompt EngineeringReusable Workflows
0 likes · 26 min read
Turning Prompt Engineering into Reusable Codex Skills: A Practical Guide
AI Engineering
AI Engineering
Jun 10, 2026 · Artificial Intelligence

Loop Engineering: Designing Self‑Running Agent Loops

Addy Osmani introduces Loop Engineering, a shift from writing prompts for coding agents to building autonomous loops composed of automations, worktrees, skills, plugins, sub‑agents, and state, while highlighting benefits, trade‑offs, and the new leverage point for engineers.

AI agentsAutomationLoop Engineering
0 likes · 11 min read
Loop Engineering: Designing Self‑Running Agent Loops
Ubiquitous Tech
Ubiquitous Tech
Jun 10, 2026 · Artificial Intelligence

Connecting GitHub Copilot to Custom AI Models in VS Code: A Step‑by‑Step Guide

This article walks through how VS Code’s GitHub Copilot now supports Bring‑Your‑Own‑Key (BYOK) integration, allowing developers to attach custom models such as MiniMax, DeepSeek, Gemini, Claude or OpenAI, control costs, configure agents, skills and instructions, and monitor usage via logs and flow charts.

AgentsBYOKCustom Model Integration
0 likes · 10 min read
Connecting GitHub Copilot to Custom AI Models in VS Code: A Step‑by‑Step Guide
AI Engineer Programming
AI Engineer Programming
Jun 9, 2026 · Artificial Intelligence

How Pi Works: Agent Architecture, Tools, Interactive UI, and Skills

The article breaks down Pi, a minimalist programming agent, explaining its two‑layer architecture, the iterative agent loop, a four‑tool set, extensible extensions, layered context construction, and reusable Skills, showing why a clear design, not tool count, determines an agent’s capability.

AI AgentAgent ArchitectureContext Layering
0 likes · 6 min read
How Pi Works: Agent Architecture, Tools, Interactive UI, and Skills
DevOps
DevOps
Jun 9, 2026 · Artificial Intelligence

Why Skills Alone Aren’t Enough for Scalable Enterprise AI

The article argues that while Skills are a crucial atomic capability for enterprise AI, they cannot alone achieve scalable, governed AI systems; a full governance stack—including Specs, Contexts, Workspace, and Governance—is required to coordinate agents, measure outcomes, and maintain organizational consistency.

AI agentsASDMAnthropic
0 likes · 18 min read
Why Skills Alone Aren’t Enough for Scalable Enterprise AI
DataFunTalk
DataFunTalk
Jun 9, 2026 · Artificial Intelligence

Anthropic’s Internal Claude Code Skills: 9 Types, Key Practices, and Writing Tips

Anthropic reveals how its teams use Claude Code Skills, classifying them into nine functional categories, emphasizing verification and focus, and sharing concrete guidelines for structuring SKILL.md, progressive disclosure, memory, scripts, hooks, distribution, composition, and usage measurement.

AI automationClaude CodeKnowledge Management
0 likes · 15 min read
Anthropic’s Internal Claude Code Skills: 9 Types, Key Practices, and Writing Tips
Architect
Architect
Jun 8, 2026 · Artificial Intelligence

Building an AI Workbench: Practical Agentic Engineering with Plans, Context, and Verification

The article distills insights from Matt Van Horn and John Kim on Agentic Engineering, proposing a five‑layer AI workbench (plan, context, execution, verification, governance), controlled parallelism, context engineering, reusable Skills, Hooks, Subagents, permission models, review templates, and a one‑week team experiment to embed engineering habits into AI‑driven workflows.

AIAgentic EngineeringAutomation
0 likes · 30 min read
Building an AI Workbench: Practical Agentic Engineering with Plans, Context, and Verification
Code Ape Tech Column
Code Ape Tech Column
Jun 8, 2026 · Backend Development

A Complete Guide to Spring Boot AI Agent Skills

This article surveys the ecosystem of Spring Boot‑focused AI Agent Skills, detailing curated repositories, installation steps, core value propositions, integration with Spring AI, and step‑by‑step instructions for creating and sharing custom Skills to boost developer productivity.

AI AgentSkillsSpring AI
0 likes · 13 min read
A Complete Guide to Spring Boot AI Agent Skills
Architect
Architect
Jun 6, 2026 · Artificial Intelligence

How Anthropic Uses Claude for Self‑Service Data Analytics: Beyond Removing SQL Barriers

Anthropic claims that Claude automates about 95% of business analysis queries with roughly 95% accuracy, but the real challenge lies in embedding enterprise data definitions, governance, and validation into an agent harness, requiring skills, context layers, and rigorous offline testing to avoid silent failures.

AI agentsClaudeData Warehouse
0 likes · 21 min read
How Anthropic Uses Claude for Self‑Service Data Analytics: Beyond Removing SQL Barriers
PaperAgent
PaperAgent
Jun 6, 2026 · Artificial Intelligence

Anthropic Reveals Top Practices for Building Skills in Claude Code

Anthropic’s internal analysis of hundreds of Claude Code skills shows that verification‑oriented skills deliver the greatest boost to AI coding assistant output, and it outlines nine skill categories, seven design principles, on‑demand hooks, and distribution strategies for effective agent development.

AI agentsClaudePrompt Engineering
0 likes · 12 min read
Anthropic Reveals Top Practices for Building Skills in Claude Code
Su San Talks Tech
Su San Talks Tech
Jun 4, 2026 · Backend Development

Comprehensive Guide to Spring Boot AI Agent Skills

This guide presents a curated overview of Spring Boot AI Agent Skills, detailing top repositories, installation steps, core functionalities, integration with Spring AI, and step‑by‑step instructions for creating custom Skills to boost development productivity and code quality.

AI AgentDevOpsSkills
0 likes · 12 min read
Comprehensive Guide to Spring Boot AI Agent Skills
Code Mala Tang
Code Mala Tang
Jun 3, 2026 · Artificial Intelligence

How Claude Projects and Skills Let AI Remember Your Work Style

The article explains how repeatedly rewriting prompts wastes time, then shows step‑by‑step how Claude Projects store shared context and Skills encapsulate reusable workflows, providing concrete examples and five ready‑made Skills that cut routine tasks from minutes to seconds and turn Claude into a personalized, memory‑enabled assistant.

AI workflowClaudeProjects
0 likes · 11 min read
How Claude Projects and Skills Let AI Remember Your Work Style
IT Services Circle
IT Services Circle
May 27, 2026 · Artificial Intelligence

Can Claude Code Handle Million‑Line Codebases? Why the Harness Beats the Model

The article breaks down seven common pitfalls when using Claude Code on massive codebases, explains Anthropic’s agentic‑search approach, and shows how a well‑designed harness—including concise CLAUDE.md files, LSP integration, subdirectory launches, hooks, skills, plugins, and MCP servers—outperforms simply upgrading the model.

Agentic SearchClaude CodeHarness
0 likes · 23 min read
Can Claude Code Handle Million‑Line Codebases? Why the Harness Beats the Model
Architect
Architect
May 26, 2026 · Artificial Intelligence

Why Claude’s 17 New Capabilities Matter: Moving Agents from Chat to Real Workflows

Claude’s latest suite of 17 capabilities—Projects, Memory, Artifacts, Chrome, Cowork, Skills, and more—reframes the agent from a simple chat assistant into a workflow component, prompting architects to evaluate context entry, auditable outputs, permission boundaries, repeatable processes, and cost controls before deployment.

AI agentsArtifactsClaude
0 likes · 26 min read
Why Claude’s 17 New Capabilities Matter: Moving Agents from Chat to Real Workflows
Old Zhang's AI Learning
Old Zhang's AI Learning
May 26, 2026 · Artificial Intelligence

How Anthropic’s Finance Skills Power Real‑World CFO Workflows

This article breaks down Anthropic’s blog on using Claude for finance, extracts reusable Skills from the open‑source repository, explains the three core CFO workflows, shows how to mount the Skills in Claude Code, Cursor and GitHub Copilot, and provides a detailed guide for adapting the Skills to Chinese data sources.

AIAnthropicClaude
0 likes · 18 min read
How Anthropic’s Finance Skills Power Real‑World CFO Workflows
ArcThink
ArcThink
May 24, 2026 · Artificial Intelligence

When to Use MCP vs. Skills: A Clear Capability Stack for Building Stable AI Agents

The article explains a four‑layer capability model—Rules, Skills, MCP, and Agents—showing how to decide when to add an MCP server, a Skill, or a Rule, and how combining them yields reliable AI‑powered programming assistants for both personal projects and team‑scale engineering.

AI agentsMCPPrompt Engineering
0 likes · 23 min read
When to Use MCP vs. Skills: A Clear Capability Stack for Building Stable AI Agents
Linyb Geek Road
Linyb Geek Road
May 23, 2026 · Backend Development

8 Essential Claude Code Skills to Supercharge Your Spring Boot Projects

This article explains what Claude Code Skills are, lists the eight most valuable Spring Boot Skills, shows how to configure each Skill with concrete examples and YAML rules, and provides step‑by‑step instructions for integrating them into a Java 21 / Spring Boot 3.x project.

AI code generationClaude CodeSkills
0 likes · 15 min read
8 Essential Claude Code Skills to Supercharge Your Spring Boot Projects
Architect
Architect
May 21, 2026 · Artificial Intelligence

Beyond Code: Extending Codex into Full‑Scale Workflows

The article analyzes how Codex is shifting from merely writing code to sustaining entire workflows that span code, UI, documents, time, and human judgment, and proposes concrete boundaries, evidence artifacts, and incremental steps—such as THREAD.md, GOAL.md, and PERMISSIONS.md—to make the agent’s actions safe, auditable, and stoppable.

AI agentsAutomationCodex
0 likes · 26 min read
Beyond Code: Extending Codex into Full‑Scale Workflows
Tech Ocean
Tech Ocean
May 20, 2026 · Artificial Intelligence

Deep Agents Explained: Skills Manage Internals, MCP/A2A/ACP Manage Externals

The article maps the four core mechanisms of Deep Agents—Skills, MCP, A2A, and ACP—explaining how Skills governs internal agent behavior while the three protocols handle external tool integration, agent‑to‑agent collaboration, and client‑to‑agent communication, and offers guidance on when to adopt each layer.

A2AACPAgent Architecture
0 likes · 7 min read
Deep Agents Explained: Skills Manage Internals, MCP/A2A/ACP Manage Externals
Senior Tony
Senior Tony
May 16, 2026 · Artificial Intelligence

Why Claiming LLM MCP Is Dead and Skills Are Supreme Reveals Beginner Thinking

The article argues that declaring LLM MCP obsolete while praising Skills as the ultimate capability reflects a beginner’s misunderstanding, explaining that MCP is a low‑level tool‑connection protocol akin to USB/HTTP, whereas Skills are high‑level business‑logic wrappers, and the real engineering challenges lie elsewhere.

AI agentsLLMMCP
0 likes · 5 min read
Why Claiming LLM MCP Is Dead and Skills Are Supreme Reveals Beginner Thinking
Old Zhang's AI Learning
Old Zhang's AI Learning
May 15, 2026 · Artificial Intelligence

Alibaba’s Qoder 1.0 Transforms Desktop AI Coding – Hands‑On Review

Qoder 1.0 upgrades from a 0.x prototype to a full‑featured AI IDE with a new independent Quest view, multi‑agent parallelism, end‑to‑end delivery, long‑term memory, extensible expert teams, and full‑stack quality checks, demonstrated by recreating a browser extension in minutes.

AI IDEAgentic codingBrowser Agent
0 likes · 14 min read
Alibaba’s Qoder 1.0 Transforms Desktop AI Coding – Hands‑On Review
ZhiKe AI
ZhiKe AI
May 15, 2026 · Artificial Intelligence

How to Build Effective Claude Skills: Step‑by‑Step Guide, Limits, and Real Examples

This guide walks you through creating custom Claude skills—from defining a precise problem and naming conventions to crafting detailed descriptions, writing structured instructions, uploading via the UI or API, testing with realistic scenarios, iterating based on usage, and applying best‑practice tips with concrete skill examples.

AIAPIClaude
0 likes · 22 min read
How to Build Effective Claude Skills: Step‑by‑Step Guide, Limits, and Real Examples
Wuming AI
Wuming AI
May 14, 2026 · Industry Insights

Which Types of People Are Most Likely to Be Left Behind in the AI Era?

The article identifies five groups—process‑followers, slow learners, tool‑resisters, uncritical thinkers, and poor communicators—who risk being outpaced by AI, and outlines the traits of a "super individual" who can thrive by continuously learning, thinking critically, and leveraging AI tools effectively.

AIAutomationLearning
0 likes · 10 min read
Which Types of People Are Most Likely to Be Left Behind in the AI Era?
James' Growth Diary
James' Growth Diary
May 14, 2026 · Backend Development

Inside Claude Code Skills: How a Single Markdown File Powers a Five‑Layer Loading Mechanism

The article dissects Claude Code's Skills system, showing how a lone SKILL.md file, combined with a five‑layer file‑system scope, inode‑based deduplication, conditional activation, plugin integration and incremental injection, enables zero‑code extensibility while managing token consumption for LLM agents.

Claude CodeConditional ActivationMarkdown
0 likes · 23 min read
Inside Claude Code Skills: How a Single Markdown File Powers a Five‑Layer Loading Mechanism
AI Waka
AI Waka
May 11, 2026 · Artificial Intelligence

Six Mechanisms, Three Dimensions, One Decision Tree: Deep Dive into Claude Code

This article provides an in‑depth technical analysis of Claude Code’s six extension mechanisms—Hooks, Skills, Slash Commands, MCP, Subagents, and Plugins—organized by three orthogonal dimensions (Trigger, Context, Domain), and shows how a three‑question decision tree and token‑cost considerations guide optimal usage and anti‑patterns.

AI extensionsClaude CodeHooks
0 likes · 40 min read
Six Mechanisms, Three Dimensions, One Decision Tree: Deep Dive into Claude Code
Old Zhang's AI Learning
Old Zhang's AI Learning
May 9, 2026 · Artificial Intelligence

Claude’s Open‑Source Financial Skills: A Deep Dive

Anthropic’s new claude‑for‑financial‑services repository bundles 11 ready‑to‑run agents, vertical plugins, and 11 MCP data connectors that automate core Wall Street workflows—from pitch decks and earnings reviews to valuation modeling—while offering clear installation paths and guidance for enterprise customization.

AI agentsClaudeFinancial Services
0 likes · 13 min read
Claude’s Open‑Source Financial Skills: A Deep Dive
Wuming AI
Wuming AI
May 6, 2026 · Artificial Intelligence

5 Must‑Try AI Skills: Find One That Fits or Build Your Own

The article recommends five versatile AI Skills—find-skills, skill-creator, skill-vetter, dokobot, and superpowers—explaining their use cases, installation commands, and how they help automate workflows, while encouraging readers to create custom Skills when none match their needs.

AIAutomationOpen Source
0 likes · 11 min read
5 Must‑Try AI Skills: Find One That Fits or Build Your Own
Tech Ocean
Tech Ocean
May 5, 2026 · Artificial Intelligence

Deep Agents Day 9: Skills and HITL for Enforcing Team Rules with Human Approval

The article explains how Deep Agents’ skills and the interrupt_on (HITL) configuration let teams embed professional procedures and require human review for high‑risk tool calls, detailing the file‑based skill format, appropriate use cases, and how permissions, sandboxing, and logging complete the security stack.

AI safetyDeep AgentsHITL
0 likes · 9 min read
Deep Agents Day 9: Skills and HITL for Enforcing Team Rules with Human Approval
IT Services Circle
IT Services Circle
May 3, 2026 · Artificial Intelligence

Master Claude Code with the /powerup Command: A Complete Interactive Tutorial

This article walks you through Claude Code’s new /powerup command introduced in version v2.1.90, showing how to verify your version, launch the interactive ten‑lesson tutorial, use file references with @, switch between four operation modes, undo changes, run background tasks, configure CLAUDE.md, extend functionality with MCP, install Skills and Hooks, create Subagents, sync sessions across devices, and adjust model and effort settings for optimal performance.

AI codingClaude CodeHooks
0 likes · 34 min read
Master Claude Code with the /powerup Command: A Complete Interactive Tutorial
AI Architecture Path
AI Architecture Path
May 3, 2026 · Artificial Intelligence

How Matt Pocock’s Open‑Source ‘Skills’ Turns AI Coding from Vibe to Engineer‑Level Precision

Matt Pocock’s open‑source ‘Skills’ framework tackles four common AI‑coding pitfalls—misaligned requirements, verbose output, non‑runnable code, and architectural decay—by providing lightweight, composable skills such as deep‑questioning, domain‑language generation, test‑driven development, and architecture‑guardrails, enabling engineers to guide AI with disciplined, reproducible workflows.

AI codingMatt PocockPrompt Engineering
0 likes · 15 min read
How Matt Pocock’s Open‑Source ‘Skills’ Turns AI Coding from Vibe to Engineer‑Level Precision
Architect
Architect
Apr 30, 2026 · Artificial Intelligence

How Hermes Agent’s Memory System Fixes the Layered Misconception in OpenClaw

The article dissects Hermes Agent’s four‑layer memory architecture—hot memory, session search, skills, and optional Honcho—explaining how each layer’s cost and purpose differ from OpenClaw’s approach, and why careful placement of facts, history, procedures, and user models leads to more stable, cache‑aware agents.

Agent MemoryContext ManagementHermes Agent
0 likes · 25 min read
How Hermes Agent’s Memory System Fixes the Layered Misconception in OpenClaw
Linyb Geek Road
Linyb Geek Road
Apr 28, 2026 · Artificial Intelligence

Why Just-in-Time Context Is the Secret to Efficient AI Agents

The article argues that loading prompts, skills, and configuration only when they are needed—just-in-time context—dramatically reduces token consumption, improves precision, and turns AI agents from wasteful code generators into lean, production‑grade assistants.

AI agentsAI architectureDynamic Loading
0 likes · 12 min read
Why Just-in-Time Context Is the Secret to Efficient AI Agents
AI Waka
AI Waka
Apr 26, 2026 · Artificial Intelligence

Can Your AI Agent Write New Instructions? Exploring Google ADK’s New Skills Feature

The article examines how Google’s Agent Development Kit (ADK) tackles the context‑window bottleneck by introducing a three‑layer Skills architecture that lets agents load domain‑specific knowledge on demand, compares implementation modes, provides a step‑by‑step weather‑skill example, and contrasts ADK with OpenAI’s Agent SDK.

AI agentsAgent developmentGoogle ADK
0 likes · 18 min read
Can Your AI Agent Write New Instructions? Exploring Google ADK’s New Skills Feature
IT Services Circle
IT Services Circle
Apr 25, 2026 · Artificial Intelligence

Understanding AI Core Concepts: Agent, Skills, Tools, and MCP

The article explains the four core AI components—Agent, Tools, Skills, and MCP—detailing their definitions, roles, the problems they address, and how they interoperate within the Cursor platform to transform a conversational model into a functional digital worker.

AI architectureAgentArtificial Intelligence
0 likes · 13 min read
Understanding AI Core Concepts: Agent, Skills, Tools, and MCP
Architects' Tech Alliance
Architects' Tech Alliance
Apr 25, 2026 · Artificial Intelligence

How Domestic Claw Platforms Are Winning the AI Agent Entry Battle

The article analyzes OpenClaw’s shift from GUI to API, its continuous workflow capabilities, the competition for high‑frequency user scenarios, the prospect of per‑device Claw instances, data‑context security concerns, and the potential fragmentation of SaaS software in the emerging AI agent market.

AI AgentAPIChina
0 likes · 12 min read
How Domestic Claw Platforms Are Winning the AI Agent Entry Battle
AI Tech Publishing
AI Tech Publishing
Apr 23, 2026 · Artificial Intelligence

API vs CLI vs MCP: How Claude Guides Their Collaboration for Production‑Grade Agents

The article compares three ways agents connect to external systems—direct API calls, CLI tools, and the Model Context Protocol (MCP)—and explains how MCP provides a standardized, scalable layer with rich semantics, authentication, and context‑saving techniques that enable production‑grade cloud agents.

AI agentsCloud DeploymentMCP
0 likes · 16 min read
API vs CLI vs MCP: How Claude Guides Their Collaboration for Production‑Grade Agents
Architect
Architect
Apr 23, 2026 · Artificial Intelligence

What Exactly Belongs in a .claude/ Folder? A Beginner’s Guide

This article explains the purpose and layered structure of the .claude/ directory in Claude Code projects, detailing what files belong in CLAUDE.md, settings.json, hooks, commands, skills, and agents, and how to organize project‑level versus user‑level configurations for reliable, maintainable AI‑assisted development.

AI agentsClaude CodeHooks
0 likes · 32 min read
What Exactly Belongs in a .claude/ Folder? A Beginner’s Guide
Machine Heart
Machine Heart
Apr 21, 2026 · Artificial Intelligence

How Externalization Drives the Evolution of LLM Agents – Insights from a 54‑Page SJTU Review

A recent 54‑page arXiv review by Shanghai Jiao Tong University and collaborators argues that the reliability gains of LLM agents stem more from externalizing memory, skills, protocols, and harness infrastructure than from scaling the underlying model, outlining three structural mismatches and a unified externalization framework.

ExternalizationHarnessLLM agents
0 likes · 13 min read
How Externalization Drives the Evolution of LLM Agents – Insights from a 54‑Page SJTU Review
AI Software Product Manager
AI Software Product Manager
Apr 21, 2026 · Artificial Intelligence

10 Must‑Have Claude Code Skills to Turn It Into a Real Agent

After months of using Claude Code, the author discovers that the real performance gap comes from the Skills you add—not the model itself—showing how ten carefully chosen Skills can transform Claude Code from a simple coding assistant into a versatile, repeatable digital teammate for browsing, summarizing, testing, refactoring, and more.

AI agentsAutomationClaude Code
0 likes · 18 min read
10 Must‑Have Claude Code Skills to Turn It Into a Real Agent
AI Waka
AI Waka
Apr 21, 2026 · Artificial Intelligence

Why Massive Prompts Fail and How Skills Transform AI Agents

The article explains how monolithic system prompts become costly, unreliable, and hard to maintain as AI agents grow, and demonstrates a modular Skill‑based architecture that loads knowledge on demand, improves scalability, debugging, and reuse.

AIAgentModular Design
0 likes · 13 min read
Why Massive Prompts Fail and How Skills Transform AI Agents
AI Waka
AI Waka
Apr 20, 2026 · Artificial Intelligence

How to Build Powerful Claude Skills: A Step‑by‑Step Guide

Learn how to design, write, test, and deploy reusable Claude Skills—custom instruction sets that automate document processing, code review, content creation, and data handling—by defining goals, crafting SKILL.md, adding scripts, creating trigger phrases, and measuring performance with concrete examples.

AIAutomationClaude
0 likes · 15 min read
How to Build Powerful Claude Skills: A Step‑by‑Step Guide
AndroidPub
AndroidPub
Apr 20, 2026 · Mobile Development

How Google’s Android CLI, Skills, and Knowledge Base Empower AI Agents

Google’s April 2026 release of Android Agent tools—Android CLI, Android Skills, and Android Knowledge Base—shows how a unified, command‑line interface and structured skill packages let AI agents reliably perform standard Android development tasks while staying up‑to‑date with official documentation.

AI AgentAndroidCLI
0 likes · 8 min read
How Google’s Android CLI, Skills, and Knowledge Base Empower AI Agents
Baidu Geek Talk
Baidu Geek Talk
Apr 15, 2026 · Artificial Intelligence

Unveiling Claude Code: How Rules, MCP, and Skills Power the Coding Agent

This article dissects the leaked Claude Code v2.1.88 source to reveal how the three core concepts—Rules, MCP, and Skills—are implemented, where they are injected in the Anthropic LLM API request, and when developers should prefer each mechanism for reliable, secure, and token‑efficient coding agent workflows.

Claude CodeLLM agentsMCP
0 likes · 25 min read
Unveiling Claude Code: How Rules, MCP, and Skills Power the Coding Agent
ArcThink
ArcThink
Apr 14, 2026 · Artificial Intelligence

Mastering Claude Code Plugins: Skills, MCP, Hooks and Real‑World Configurations

This guide dissects Claude Code’s rapidly growing plugin ecosystem—covering the five‑layer architecture, top‑installed plugins, detailed configuration examples for Skills, MCP servers, Agents, and Hooks, and practical best‑practice recommendations to turn Claude Code into a powerful, production‑grade development assistant.

AI pluginsClaude CodeConfiguration
0 likes · 22 min read
Mastering Claude Code Plugins: Skills, MCP, Hooks and Real‑World Configurations
Top Architecture Tech Stack
Top Architecture Tech Stack
Apr 13, 2026 · Artificial Intelligence

Codex Desktop: Turning AI Coding into a Shift‑Change Assistant

OpenAI’s new Codex desktop app upgrades AI programming from a simple code‑completion tool to a multi‑agent, schedule‑driven assistant that can run parallel tasks, automate routine engineering work, and encapsulate team SOPs as reusable Skills, signaling a shift toward AI‑driven development workflows.

AI codingCodexSkills
0 likes · 9 min read
Codex Desktop: Turning AI Coding into a Shift‑Change Assistant
Tech Verticals & Horizontals
Tech Verticals & Horizontals
Apr 11, 2026 · Artificial Intelligence

OpenClaw Automation Explained: From Zero to Enterprise‑Ready Architecture, Hooks & Webhooks

The article walks readers through OpenClaw’s complete automation architecture, detailing the roles of Client, Gateway, Hooks, Cron, Heartbeat, Agent, Skills, and Plugins, explaining event flow, execution steps, hook loading, webhook integration, and practical enterprise deployment patterns, while providing concrete examples and configuration snippets.

AIAgentAutomation
0 likes · 13 min read
OpenClaw Automation Explained: From Zero to Enterprise‑Ready Architecture, Hooks & Webhooks
Frontend AI Walk
Frontend AI Walk
Apr 10, 2026 · Industry Insights

Five Future‑Ready Thinking Models to Reset Your Cognition in the AI Era

The article outlines five forward‑looking mental models—embracing CLI, adopting management thinking, integrating ecosystems, focusing on reusable Skills, and limiting Agent creation—to help product people, creators, and developers upgrade their personal operating system for the AI‑driven future.

AIAgentCLI
0 likes · 12 min read
Five Future‑Ready Thinking Models to Reset Your Cognition in the AI Era
IT Services Circle
IT Services Circle
Apr 3, 2026 · Artificial Intelligence

What Are AI Agents? A Complete Guide to LLMs, Function Calls, MCP & A2A

This article explains the core concepts behind AI agents—including how they differ from large language models, their relationship to workflows, the various agent operating modes, and the underlying technologies such as function calls, the Model Context Protocol (MCP), Skills, and the Agent‑to‑Agent (A2A) protocol—providing clear examples and practical comparisons for developers and interviewees.

A2AFunction CallLLM
0 likes · 32 min read
What Are AI Agents? A Complete Guide to LLMs, Function Calls, MCP & A2A
SuanNi
SuanNi
Mar 31, 2026 · Artificial Intelligence

Mastering Claude Code: A Complete Guide to the .claude Folder and Advanced Configurations

This in‑depth guide explains how to unlock the full power of Claude Code by understanding the dual .claude directories, crafting effective CLAUDE.md and CLAUDE.local.md files, organizing modular rules, hooks, skills, and agents, and configuring permissions with settings.json for secure, repeatable AI‑assisted development.

AI assistantAgentsClaude
0 likes · 16 min read
Mastering Claude Code: A Complete Guide to the .claude Folder and Advanced Configurations
Ubiquitous Tech
Ubiquitous Tech
Mar 31, 2026 · Artificial Intelligence

6 Proven AI‑Powered Learning Methods to Accelerate Your Growth

The author outlines six practical AI‑assisted learning techniques—from deep research with Google NotebookLM and Agent = Model + Harness, to structured documentation via DeepWiki, skill‑building with reusable AI Skills, curated information gathering, hands‑on code experimentation, and AI assistants—showing how to turn AI into a collaborative study partner.

AIAutomationDeepResearch
0 likes · 26 min read
6 Proven AI‑Powered Learning Methods to Accelerate Your Growth
AI Engineering
AI Engineering
Mar 30, 2026 · Artificial Intelligence

How to Master Claude Code: A Practical Guide to the .claude Folder

This guide explains the purpose of the .claude directory, details how CLAUDE.md, rules, hooks, skills, agents, and settings.json work together, and provides step‑by‑step instructions for configuring Claude Code to follow project‑specific policies and improve productivity.

AI assistantAgentsClaude Code
0 likes · 13 min read
How to Master Claude Code: A Practical Guide to the .claude Folder
Wuming AI
Wuming AI
Mar 29, 2026 · Industry Insights

Turning Docs into AI‑Callable Skills: A Practical Shift to AI‑First Workflows

The article argues that merely sharing AI prompts and tool lists is insufficient; instead, documentation and tools must be transformed into AI‑friendly, callable skills, illustrating the shift with concrete OpenClaw and CoPaw examples that enable self‑healing, redundancy, and truly automated workflows.

AI workflowAutomationKnowledge Management
0 likes · 8 min read
Turning Docs into AI‑Callable Skills: A Practical Shift to AI‑First Workflows
AI Algorithm Path
AI Algorithm Path
Mar 29, 2026 · Artificial Intelligence

Mastering Claude Code Extensions: Skills, MCP, Hooks, Sub‑agents, Agent Teams & Plugins

Claude Code, Anthropic's CLI AI programming assistant, offers six extensible mechanisms—Skills, MCP, Sub‑agents, Agent Teams, Hooks, and Plugins—each explained with purpose, setup steps, concrete examples, and practical guidance on when and how to combine them for robust AI‑driven workflows.

AI extensionsAgent TeamsClaude Code
0 likes · 12 min read
Mastering Claude Code Extensions: Skills, MCP, Hooks, Sub‑agents, Agent Teams & Plugins
ShiZhen AI
ShiZhen AI
Mar 28, 2026 · Artificial Intelligence

Unlock Claude Code’s Hidden Power: Inside the .claude/ Folder

The article explains how the .claude/ directory serves as Claude Code’s control center—detailing its two‑level structure, the role of CLAUDE.md, rules, commands, skills, agents, and settings.json, and provides a step‑by‑step guide to configure and extend it for team and personal workflows.

AgentsCLAUDE.mdClaude
0 likes · 16 min read
Unlock Claude Code’s Hidden Power: Inside the .claude/ Folder
Subtle Storm
Subtle Storm
Mar 28, 2026 · Artificial Intelligence

How OpenClaw Skills Power Your AI Agent: The Brain‑Hand Analogy

The article explains OpenClaw's Skills system—how each Skill is defined by a skill.md manifest and index.js logic, how the Agent scans and matches Skills based on capabilities, permissions and inputs, and provides step‑by‑step examples, installation commands, and best‑practice guidelines for secure, modular automation.

AI AgentAutomationCron
0 likes · 14 min read
How OpenClaw Skills Power Your AI Agent: The Brain‑Hand Analogy
AgentGuide
AgentGuide
Mar 27, 2026 · Artificial Intelligence

What Are Skills in LLM Agents? How They Work and When to Use Them

The article defines Skills as structured local folders that encapsulate domain‑specific processes, knowledge, and tools for large language models, contrasts them with temporary Prompts, outlines suitable use cases, details their components, and explains their on‑demand loading mechanism that saves tokens.

Agent developmentOn‑Demand LoadingPrompt Engineering
0 likes · 4 min read
What Are Skills in LLM Agents? How They Work and When to Use Them
AI Waka
AI Waka
Mar 26, 2026 · Artificial Intelligence

When to Use MCP vs. Skills with Claude: A Practical Decision Framework

This article analyzes the trade‑offs between Model Context Protocol (MCP) and Skills for Claude‑based AI workflows, offering a three‑question test, real‑world examples, and architectural diagrams to help engineers choose the most efficient approach for their tasks.

AI workflowAutomationClaude
0 likes · 10 min read
When to Use MCP vs. Skills with Claude: A Practical Decision Framework
Design Hub
Design Hub
Mar 24, 2026 · Artificial Intelligence

Why the .claude Folder Is the Most Crucial Part of Claude Code to Configure

Understanding the .claude directory—its project‑level and global subfolders, the roles of CLAUDE.md, rules, commands, skills, agents, and settings.json—lets you turn Claude Code from a black‑box chat tool into a configurable, team‑aligned coding partner that respects permissions and workflow conventions.

AI configurationAgentsClaude Code
0 likes · 21 min read
Why the .claude Folder Is the Most Crucial Part of Claude Code to Configure
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 20, 2026 · Artificial Intelligence

Understanding Claude Code Skills: Insider Engineers Share Systematic Practices

The article walks through Claude Code’s Skills system—explaining what Skills are, categorizing common types, offering concrete best‑practice tips, showing how to store data, use on‑demand hooks, distribute and measure Skills, and concluding with practical advice for early‑stage AI agent development.

AI agentsClaude CodeSkills
0 likes · 18 min read
Understanding Claude Code Skills: Insider Engineers Share Systematic Practices
o-ai.tech
o-ai.tech
Mar 18, 2026 · Artificial Intelligence

Mastering Claude Code Skills: A Hands‑On Guide from Beginner to Expert

This guide explains how Claude Code Skills work as folder‑based agents, introduces a nine‑category taxonomy, and shares practical design patterns—including progressive disclosure, Gotchas, memory handling, hooks, and sharing strategies—to help developers build robust, reusable Skills from scratch.

AIAgentClaude
0 likes · 18 min read
Mastering Claude Code Skills: A Hands‑On Guide from Beginner to Expert
Java Tech Enthusiast
Java Tech Enthusiast
Mar 18, 2026 · Artificial Intelligence

Demystifying OpenClaw: Agents, RAG, Memory & Skills Explained

This article explains the OpenClaw AI agent framework, detailing how its core Agent follows an Observe‑Plan‑Act loop, how Memory uses SQLite for short‑ and long‑term storage, how RAG retrieves external knowledge, and how Skills replace MCP with modular tool workflows, plus security tips and deployment links.

AI AgentFunction CallMemory
0 likes · 14 min read
Demystifying OpenClaw: Agents, RAG, Memory & Skills Explained