Zero-Code AI Agent Skills Creation: A Complete Guide from Generation to Invocation

What Are AI Agent Skills

As AI coding tools evolve rapidly, the Agent (intelligent agent) paradigm has become a key driver of development efficiency. The Skills mechanism sits at the heart of this paradigm — it's what makes AI Agents reusable and callable in a standardized way.

Simply put, a Skill is a self-contained capability module. It lives as a Markdown file (SKILL.md) within a specific directory structure, allowing AI tools to execute tasks according to predefined workflows and standards whenever needed. Rather than re-explaining your requirements from scratch each time, Skills give your AI assistant a "library of professional capabilities available on demand."

This article is based on a hands-on tutorial by Bilibili creator Huang Junhua, and walks through how to create and use your own AI Agent Skill inside the Trae development tool — with zero code. No complex code writing required; natural language instructions are all you need.

Prerequisites Before Creating a Skill

The first step in creating a Skill is preparing a project folder to store the skill files. It sounds simple, but it's a step many beginners overlook.

Create an Empty Folder

Start by creating an empty local folder — name it something like SKILL01. This folder will serve as the target directory where the AI generates skill files.

Import the Folder Before Switching to Solo Mode

Once Trae is open, don't rush to switch into Solo mode. The correct order is: first use the "Open Folder" option to import the empty folder you just created, so the tool can recognize the working directory.

This step is critical. If you switch to Solo mode without importing a folder first, the AI won't know where to place the generated skill files. After importing the folder, click the button in the upper-left corner to switch to Solo mode — the bottom of the interface will confirm you're now in Solo Code mode.

Generating a Skill with Natural Language

With the setup complete, you can now instruct the AI to automatically generate a Skill. This is the core step of the zero-code creation process.

Send the Creation Instruction

In Solo mode, simply type your instruction — for example, "Help me create a code review Skill that checks for code security." One thing to note: remove any @ reference options and send the request as a plain instruction.

After sending, the AI will parse your request and clarify the task objective — something like "create the directory structure and SKILL.md document for a code review Skill, implementing security and feasibility checks as required." The terminal on the right will display the AI's execution progress in real time.

Chinese Input, English Directory Names

A detail worth noting: even if you describe your needs in Chinese (e.g., "代码审查"), the AI will automatically translate the directory name into proper English (e.g., code-review). This follows standard engineering naming conventions and makes your skill library more universally usable.

During generation, the AI automatically creates the directory and generates the SKILL.md file inside it. If encoding issues arise, the AI will proactively detect and fix them.

Breaking Down the SKILL.md File Structure

Once generation is complete, switch back to standard IDE mode and you'll clearly see the generated structure: the previously empty SKILL01 folder now contains a Skill directory (e.g., code-review) with the core SKILL.md document inside.

The Frontmatter Header

Opening SKILL.md reveals that the file begins with a block of metadata wrapped in three dashes — this is the Frontmatter, and it's how AI tools recognize and identify the Skill.

This header typically contains two core fields:

• name: The skill's name, used for identification and invocation
• description: A description of what the skill does and when it should be used

What Goes in the Skill Body

Beyond the dashes lies the detailed skill body. A well-structured code review Skill typically includes the following sections:

1. Function Overview: Defines the skill's core purpose
2. Use Cases: Describes when the skill should be triggered
3. Review Workflow: Specifies the step-by-step process the AI follows
4. Report Format: Defines how the output should be presented
5. Notes & Constraints: Adds boundary conditions and edge case handling

This structured design ensures that whenever the AI invokes the skill, it follows a consistent standard and produces stable, predictable results.

How to Invoke a Created AI Agent Skill

Once a Skill is created, the next step is actually using it. Invocation also takes place in Solo mode.

Just type "invoke code review Skill" in your instruction, and the AI will recognize this as a skill invocation request, using the Skill tool to launch the code-review skill you created earlier.

You might notice that if the current project contains no actual code, the AI will prompt you for the content to be reviewed. This illustrates an important point: a Skill is a capability wrapper — it needs a concrete target to work on. When your project contains real code, invoking the skill will automatically execute the full review workflow defined in SKILL.md.

Summary and Takeaways

This tutorial demonstrates that the real value of AI Agent Skills lies in standardizing and making reusable the repetitive, specialized work you'd otherwise redo every time. Previously, every AI code review session required re-describing your review criteria and output format. With a Skill, a single "invoke code review Skill" command triggers the entire workflow.

The zero-code creation approach dramatically lowers the barrier to entry — you don't need to understand the underlying implementation. Just describe what you want in natural language, and the AI generates a properly structured skill file. This makes the approach genuinely useful for both developers and non-technical users who want to build their own AI-powered workflows.

As the AI coding tool ecosystem matures, we may soon see extensive shared Skill libraries — letting developers equip their AI Agents with specialized capabilities as easily as installing a plugin.