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Skills

Skills Module Introduction

Skills are the core components in AI Studio designed to enhance the capabilities of Agents and MCPs.
They represent specific functions that AI can perform, such as information retrieval, data processing, content generation, or system operations.
By adding different skills, users can make the intelligent agent more "business-aware and execution-capable."


Types of Skills

Skills in AI Studio are divided into two categories: Built-in Skills and Custom Skills.

  • Built-in Skills (System Preset)
    Developed and integrated by the system in advance, ready to use out of the box.
    Users do not need to write code or perform additional configuration; they only need to enable them directly in the Agent or MCP configuration interface.
    Characteristics:

    • Easy to use, plug-and-play
    • Suitable for general business scenarios (such as file processing, calculation, text summarization, etc.)
    • Stable and reliable, continuously maintained and updated by the platform
  • Custom Skills (User-built)
    Developed or configured by users according to their own business needs or scenarios.
    With custom skills, you can enable the Agent to perform specific tasks or call exclusive system interfaces.
    Characteristics:

    • Highly flexible and scalable
    • Suitable for implementing personalized or exclusive business processes
    • Can be integrated with internal enterprise systems to achieve automated workflows

How to Use Skills

  1. Using in Agent

    • When creating or editing an Agent, select the required skills in the "Skills Configuration" area;
    • Once enabled, the Agent can invoke these skills during conversations to complete tasks.
  2. Using in MCP

    • MCP can integrate multiple skills to have richer capabilities;
    • Skills can be added when publishing an Agent as an MCP.

Application Value

  • Improve Efficiency: Enables AI to perform operations directly rather than just answering questions.
  • Lower Barrier: Built-in skills are ready to use immediately without additional development.
  • Support Customization: Custom skills can precisely match the enterprise’s business logic and processes.

By flexibly combining built-in and custom skills, users can quickly create more powerful intelligent assistants or system integration solutions tailored to their needs, allowing AI to truly participate in daily work and business execution.