SKILLS PRACTICAL GUIDECourse outline

SKILLS PRACTICAL GUIDE

Practical Skills: Turn One Successful Method into a Reusable AI Capability

A 22-lesson course that first explains the relationship between Agents and Skills, then teaches you to use and evaluate them, and finally helps you create your own Skill with an Agent

This course is for people who already use Chatbots fluently and want to take the next step toward Agents. It begins with the real boundary between a Chatbot and an Agent and explains why Skills must exist. It then teaches you to understand their structure, install and use them well, and judge their quality. Finally, you switch to a command-line environment and use an Agent to turn your own method into a Skill that triggers reliably, passes tests, and remains maintainable over time.

¥159Buy once · Lifetime accessNot available for purchase yet

LEARNING ROUTE

Understand the mechanism -> master existing Skills -> create your own

This course is not a list of recommended Skills. It is a capability path with three stages: first understand Agents and context so you know which problem a Skill actually solves; then build judgment about what makes a Skill good through installation, composition, and close study of real cases; finally create one yourself and make it last through testing and maintenance.

  1. 01
    Lessons 1-6 | Understand the mechanism

    Understand the boundary between Chatbots and Agents, why context is scarce, and how four-level Skill loading and triggering work.

  2. 02
    Lessons 7-14 | Master existing Skills

    Install and run a first Skill, perform safety checks before installing third-party Skills, compose multiple Skills, and use seven criteria to study four real cases.

  3. 03
    Lessons 15-22 | Create your own

    Switch to the creation environment, extract a Skill from one successful conversation, refine its description, layer its content, test it, and maintain it over time.

Course learning path

MODULE ONE

Module One: From Chatbot to Agent

Build the mental model: the real boundary between an Agent and a Chatbot, what happens inside one Agent loop, and why context is scarce. This is the foundation for understanding Skills.

MODULE TWO

Module Two: What a Skill Really Is

Open a real Skill folder, understand four-level progressive disclosure, and learn how the model selects one Skill from dozens of candidates.

MODULE THREE

Module Three: Become a Skilled User First

Enable and run your first official Skill in the desktop app, master five safety checks before installing a third-party Skill, and have multiple Skills relay through one real workflow.

MODULE FOUR

Module Four: What a Good Skill Looks Like

Choose a freedom level, define seven scoreable criteria, then apply them to four real cases: deterministic delegation, taste injection, workflow orchestration, and a meta-Skill.

MODULE FIVE

Module Five: Create Your Own Skill with an Agent

Switch to a command-line environment, extract material from one successful conversation, let the Agent draft while you define the criteria, then refine the description, layer the content, and complete three levels of testing.

MODULE SIX

Module Six: From One Skill to a Complete Workbench

Keep a Skill alive through versions, change records, team sharing, and responsibility boundaries. Finally, combine several Skills into a personal workbench and choose your next direction.

What you will be able to do

After finishing, you should be able to understand any Skill and decide whether it is worth using, turn one of your own high-frequency methods into a Skill that triggers reliably and passes tests, and keep that Skill dependable months later.

  • Explain the boundary between a Chatbot and an Agent and the exact problem a Skill solves within that system.
  • Understand the structure and loading mechanism of any Skill and judge whether it will trigger or drift.
  • Check source, permissions, scripts, dependencies, and size before installing a third-party Skill.
  • Choose a freedom level for the task, then score a Skill with seven criteria and explain what works, what fails, and how to improve it.
  • Start from one successful conversation and have an Agent help you write a first Skill that triggers reliably.
  • Validate a Skill with trigger, execution, and comparison tests, then keep it from decaying through versions and synchronization.
22 lessons · First four modules in the desktop app, final two on the command lineCourses