3064 related articles

An in-depth look at AI testing challenges. Learn to write reusable Skill packs and master Agent testing and LLM evaluation—covering the SKILL.md six-dimensional rule, skill-creator, EvalScope, and dataset selection.

Understand Anything is a high-star open-source GitHub skill that runs static analysis on any codebase and generates interactive knowledge graphs. It supports Claude Code, Cursor, Copilot and other agents, letting engineers ask questions in natural language with path references.

Understand Anything is a high-star open-source GitHub skill that performs static analysis on any codebase to generate an interactive knowledge graph, supporting Claude Code, Cursor, Copilot and more.

Understand Anything is a high-star open-source GitHub skill that performs static analysis on any codebase to generate interactive knowledge graphs, supporting Claude Code, Cursor, Copilot and more.

Agent Skills is a lightweight open-source format that extends AI agent capabilities with plug-and-play skill packages. This article dives deep into the Skills architecture, progressive disclosure, and how it differs from Multi-Agent design.

The hardest part of AI short dramas isn't generating a pretty shot, but keeping characters, scenes, and style consistent. This article uses a real American campus drama test to detail how to build reusable workflows with Skills, plus three pitfall-avoidance tips.

Agent Skills is a lightweight open-source format that lets AI agents extend professional capabilities on demand, like loading plugins. Learn what Agent Skills are, the problems they solve, and their modular advantages.

Agent Skills is a lightweight open-source format that extends AI agent capabilities via plug-and-play skill packages. Learn its architecture, progressive disclosure, and how it differs from Multi-Agent.

Through a complete case of auto-generating test cases from requirement docs, this article explains Claude Code's Agent Skills packaging mechanism—turning proven AI workflows into reusable skills with on-demand loading.

Ponytail, GitHub's #1 monthly open-source Skill, injects a 'less is more' philosophy into AI Agents, cutting code volume by an average of 54%. Compatible with 20+ Agents including Claude Code, Cursor, and Copilot.

Ponytail, GitHub's #1 monthly open-source Skill, injects a 'less is more' engineering philosophy into AI Agents, cutting code volume by 54% on average. Compatible with 20+ Agents like Claude Code and Cursor.

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.

A Google DeepMind engineer reveals that over 50,000 AI agent skills come with almost no evals. Learn how to write skill evaluations, from description tuning to test design.

A Google DeepMind engineer reveals that over 50,000 AI agent skills come with almost no evals. This guide covers skill descriptions, test design, eval harnesses, and retirement strategies.

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.

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.

When your AI skill library grows to 50, repeated installs, difficult searches, and memory overload become core pain points. This article introduces an MCP-based unified management tool.

An in-depth look at the Vibe Coding paradigm: how AI tools shift engineers from 'writing code' to 'directing AI,' exploring frontend skill tiers, polarization trends, and building irreplaceable value.

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.
The Rise of Claude Skills Ecosystem: A…
Explore the Claude Skills ecosystem: from prompt engineering to modular skills, covering skill libraries, MCP integrations, and dev frameworks. The awesome-claude-skills list has 68K+ Stars.