#Tool and Skill
2469 related articles
·3 min
last30days: A Cross-Platform AI Research Tool and the Agent Skill with 50K+ Stars
last30days-skill is a GitHub AI Agent skill with 50K+ Stars, enabling cross-platform research across Reddit, X, YouTube, Hacker News, and Polymarket to generate grounded 30-day summary reports.
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·3 min
last30days: A Cross-Platform AI Research Tool and the Agent Skill with 50K+ Stars
last30days-skill is a 50K+ Star AI Agent skill on GitHub that performs cross-platform research across Reddit, X, YouTube, Hacker News, and Polymarket to generate grounded 30-day summary reports.
Read more →
·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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·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
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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·4 min
The Complete Roadmap from DevOps to MLOps: Skill Transfer and Toolchain Guide
How can DevOps engineers transition to MLOps? This guide explains the core differences between MLOps and DevOps, offers a phased learning path, tool recommendations (MLflow, DVC, Kubeflow), and practical project ideas.
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·4 min
12 Open-Source AI Agent Projects Worth Exploring: Frameworks, Skill Packs, and Toolchains
A roundup of 12 trending open-source AI agent projects on GitHub, covering video generation, agent frameworks, skill packs, code engines, security scanning, and voice processing.
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·3 min
Understanding AI Agents Through Excel: The Essential Difference Between Skills and Tool Calls
Learn the essential difference between Skills and Tool Calls in AI Agents through a practical Excel agent case study, with full API call chain analysis.
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·4 min
Pi Coding Agent Deep Configuration Guide: A Complete Breakdown of Custom Tools, Sub-Agents, and the Skill System
A complete Pi Coding Agent configuration guide refined over two months, covering custom tools, sub-agents, persistent memory, security, and skill systems.
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Claude Code Skills Encapsulation: Maki…
·1 min
Claude Code Skills Encapsulation: Making AI Testing Tools Truly Efficient and Reusable
Learn how to encapsulate Claude Code Agent Skills for test case design. Solve prompt repetition pain points with on-demand loading and skill reuse techniques.
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Tutorials·4 min
Skills vs Coze vs Dify: A Hands-On Comparison — Which AI Tool Is Best for Auto-Generating Test Cases?
Hands-on comparison of Skills, Coze, and Dify for AI-powered software testing — covering auto-generated test cases from PRDs, performance reports, and Q&A bots to help testers choose the right tool.
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Tutorials·4 min
Skills vs Coze vs Dify: A Hands-On Comparison — Which AI Tool Is Best for Auto-Generating Test Cases?
Hands-on comparison of Skills, Coze, and Dify for AI-powered software testing: auto-generating test cases from PRDs, performance reports, and requirements Q&A bots.
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·2 min
What to Do When AI Won't Listen? Understanding Why Models Go Off-Track and Practical Fixes
AI keeps giving irrelevant answers? This article explains the technical reasons behind AI "misbehavior" and provides practical tips including prompt optimization, system constraints, and conversation resets.
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·2 min
What to Do When AI Won't Listen? Understanding Why Models Go Off-Track and Practical Fixes
AI responses keep missing the mark? This article explains why AI models go off-track from a technical perspective and provides practical correction techniques including prompt optimization, system constraints, and conversation resets.
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·3 min
NotebookLM Silently Rejects Long Prompts: Root Cause Analysis and Workarounds
Google NotebookLM silently refuses long structured prompts by returning "can't answer." This article analyzes the technical causes and provides practical workarounds including prompt splitting and structure simplification.
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·3 min
Krea2 + LTX 2.3 in Practice: Image-to-Video Workflow for Creating Warhammer Cat Animations
How a Reddit creator used Krea2 for image generation + LTX 2.3 for video to create Warhammer 40K cat animations. Breaking down the technical workflow, tool selection, and AI creation trends.
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·3 min
Krea2 + LTX 2.3 in Practice: Image-to-Video Workflow for Creating Warhammer Cat Animations
How a Reddit creator used Krea2 for image generation + LTX 2.3 for video generation to create Warhammer 40K cat animations. Breaking down the technical workflow, tool selection, and AI creation trends.
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·3 min
From Linear Pipelines to State Machines: A Practical Guide to Advanced Agent Architecture
Learn how to advance from linear pipeline to state machine Agent architecture through a YouTube script-to-storyboard case study, covering fault tolerance, LLM evaluation frameworks, and LangGraph vs AutoGen selection.
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