Trae Agent Advanced Application Tutorial: From Basic Operations, Built-in Tools, and Plugin Development to Local LLM Configuration, Hands-on Implementation of Automation Projects

Trae Agent Advanced Application Tutorial: From Basic Operations, Built-in Tools, and Plugin Development to Local LLM Configuration, Hands-on Implementation of Automation Projects, Master Terminal Agent Building and Integration Capabilities

Course introduction

This Terminal Agent All-Scenario Advanced Application course focuses on the Trae terminal agent and is an advanced practical tutorial oriented toward engineering implementation. Many AI enthusiasts stop at basic conversation use, do not understand the underlying principles of local terminal agents, cannot extend plugins or build automation tasks, and find it difficult to connect AI capabilities with local tools, web pages, and drawing platforms. The course starts from basic understanding of the Trae agent, progressively explaining operation methods, underlying principles, and built-in tools, guiding learners to master the Trae Skills plugin system and learn to find and independently create skill plugins.

The course provides in-depth explanation of MCP protocol principles and deployment/installation, and breaks down sub-agent operating logic and usage methods. It includes many real project practices, including office automation projects, HTML web interface development, Trae integrated with ComfyUI to build an AI drawing automation pipeline, MCP for automatic browser web control, and also teaches local model integration, completing DeepSeek-V4 configuration in Trae so the agent can call the local LLM to execute tasks.

The course is not limited to theoretical explanation; it uses project-driven teaching, with each module accompanied by hands-on practice, connecting agents, plugins, local models, and external tools to build a complete automated workflow.

Suitable audience

Technical enthusiasts with some AI foundation who want to learn the underlying capabilities of terminal agents.

Programmers and independent developers who want to build AI automation workflows and improve work efficiency.

AI creators who want to integrate agents with ComfyUI drawing tools to achieve batch automated generation.

Office workers who want to build agent-based automated office solutions to reduce repetitive work.

Learners researching MCP protocol, sub-agents, and local LLM deployment for AI project development.

Learning outcomes

Proficiently master Trae agent basic operations, understand operating logic and built-in tool usage.

Master Trae Skills plugin installation principles, able to search and independently create custom skill plugins.

Thoroughly understand the MCP protocol, complete MCP environment deployment, and implement browser automated control projects.

Understand sub-agent architecture; learn sub-agent invocation and task scheduling.

Deploy local models; master the complete Trae + DeepSeek-V4 configuration process.

Implement multi-scenario projects: office automation, HTML web development, Trae + ComfyUI automated drawing pipeline.

Course catalog

01 First understanding of Trae agent

02 Trae basic operations (part 1)

03 Trae basic operations (part 2)

04 Trae implementation and built-in tools (part 1)

05 Trae implementation and built-in tools (part 2)

06 Trae Skills intro/install/basics (part 1)

07 Trae Skills intro/install/basics (part 2)

08 Skill search and self-creation (part 1)

09 Skill search and self-creation (part 2)

10 MCP basics and install (part 1)

11 MCP basics and install (part 2)

12 Sub-agent basic use and principle

13 Required-skill project: office trio (part 1)

14 Required-skill project: office trio (part 2)

15 Trae local model and DeepSeek-V4 config

16 Skill project: auto HTML basics and UI design (part 1)

17 Skill project: auto HTML basics and UI design (part 2)

18 Trae+ComfyUI: automation workflow practice (part 1)

19 Trae+ComfyUI: automation workflow practice (part 2)

20 Trae+ComfyUI: automation workflow practice (part 3)

21 Required-MCP project: auto-control browser pages (part 1)