Core Insights - Claude Skills have gained significant popularity, surpassing MCP, with various CLI clients supporting them and products like扣子 and MiniMax launching similar offerings [2] - The value of Claude Skills is still greatly underestimated, as a well-designed Skill can match or exceed the intelligence of complete AI products [3][4] - Skills allow non-technical users to create their own applications, demonstrating the potential for widespread adoption and innovation in AI [4][5] Group 1: Understanding Skills - Skills are modular capabilities that extend the functionality of AI Agents, packaging instructions, metadata, and optional resources for automatic use [22][24] - The architecture of Skills resembles a comprehensive SOP package for task delegation, enabling Agents to execute tasks reliably [24][28] - Skills can be seen as an extension of general Agents, allowing them to perform specialized tasks by loading different Skills [14][16] Group 2: Value and Future of Skills - Skills represent a future-oriented approach to AI applications, enabling Agents to autonomously understand and execute tasks based on human-provided guidelines [28][30] - The design of Skills allows for zero-code development, making it accessible for non-technical users to create intelligent Agents [31][34] - Skills can be combined flexibly, allowing multiple Skills to work together to complete complex tasks [68][69] Group 3: Implementation and Usage - The article provides a comprehensive guide on how to create and use Skills, emphasizing the ease of development and the potential for rapid testing of ideas [105][130] - Users can install Skills from repositories or create their own using tools like skill-creator, which simplifies the development process [121][130] - The article outlines scenarios where Skills are particularly beneficial, such as when specific knowledge or templates are required for task completion [139][141]