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Trae Skills - Official MCP Skill Marketplace

πŸ”Œ Model Context Protocol Skills for Trae IDE by ByteDance

Industry-standard skill collection built on the MCP protocol, providing production-grade tools for AI-assisted development.


✨ Quick Overview

Metric Status
πŸ“¦ MCP Servers 70 Production-Grade
πŸ”§ AI Tools 350+
⚑ User Prompts 80+
πŸ“„ Context Resources 35
βœ… TypeScript Validated 0 Errors
🎯 Trae Optimized 100% Ready
πŸ€– AI Agent Modules 7 Advanced

πŸš€ Installation for Trae IDE

This skill collection is natively optimized for Trae IDE. The MCP protocol allows the Trae Agent system to automatically discover and utilize all available tools.

One-Click Activation

  1. Open Trae IDE
  2. Navigate to Skills Marketplace
  3. Search for Trae Official Skills
  4. Click Install

Manual Setup

Add to your Trae configuration:

{
  "mcpServers": {
    "trae-skills": {
      "command": "node",
      "args": ["./packages/cli/index.js", "mcp"]
    }
  }
}

πŸ“¦ Skill Catalog

🧱 Core Foundation

Server Icon Categories Rating Key Features
git πŸ“¦ Version Control Beginner Branch management, diff, conventional commits
terminal πŸ’» System Advanced Sandboxed command execution, npm, shell
code-review πŸ” Code Quality Intermediate Static analysis, bug detection, code scan

πŸ”§ Development Actions

Server Icon Categories Rating Key Features
test-generator πŸ§ͺ Testing Intermediate Unit tests, coverage reports, TDD workflow
documentation πŸ“š Docs Beginner JSDoc generation, README, API documentation
search πŸ” Code Analysis Intermediate Regex search, symbol lookup, reference tracking
code-generator ⚑ Generation Intermediate CRUD APIs, component templates, project detection
dependency-analyzer πŸ“¦ Security Intermediate NPM audit, unused packages, version checks

βš›οΈ Technology Stack

Server Icon Categories Rating Key Features
react βš›οΈ Frontend Intermediate Hooks, component patterns, memo optimization
typescript πŸ“˜ Types Advanced Type safety, generics, type best practices
docker 🐳 DevOps Intermediate Dockerfile, multi-stage build, compose

πŸ›‘οΈ Quality & Security

Server Icon Categories Rating Key Features
security-auditor πŸ”’ Security Advanced Secret scanning, OWASP top 10, vulnerability scan
performance-optimizer ⚑ Performance Advanced Build speed, bundle analysis, dead code detection

πŸ”„ Standard Workflows

Server Icon Categories Rating Key Features
coding-workflow πŸš€ Workflow Intermediate Feature branches, TDD cycle, PR preparation
debugging-workflow πŸ”§ Troubleshooting Advanced System info, log analysis, root cause verification
refactoring-workflow ♻️ Refactoring Advanced Safety checks, incremental refactoring, validation

πŸ€– AI Agent Suite (NEW)

State-of-the-art AI agent capabilities inspired by AutoGPT, BabyAGI, and multi-agent systems.

Autonomous Execution

Server Icon Key Capabilities
agent-autonomous 🎯 Task creation, prioritization, execution loop
agent-multi πŸ‘₯ 6 expert roles, debate, voting, consensus building
agent-reflection 🧠 Metacognition, bias detection, quality gates
website-builder 🌐 One-click landing page generation with Tailwind CSS

Enhanced Cognitive Capabilities

Server Icon Key Capabilities
memory 🧠 Vector embeddings, semantic search, human forgetting curves
thinking πŸ’­ Sequential Chain-of-Thought, self-criticism loop
web-search πŸ” DuckDuckGo + Wikipedia real-time knowledge

🎯 Why This is Built for Trae IDE

Native MCP Integration

We follow the official Model Context Protocol specification used by Anthropic and Trae IDE:

  • βœ… Standard Tool Primitives - AI agent automatically knows how to call every tool
  • βœ… Rich Context Resources - Automatic context injection for the LLM
  • βœ… User Prompt Templates - One-click standardized workflows
  • βœ… Fully Typed Interfaces - No more implicit "any" types

Trae Platform Optimizations

Every skill includes platform-specific metadata:

.forTrae({
  categories: ['Version Control', 'Core'],
  rating: 'beginner',
  features: ['Git Operations', 'Code Review']
})

This powers Trae's marketplace features:

  • πŸ“‚ Skill categorization and filtering
  • ⭐ Difficulty rating for appropriate suggestions
  • πŸ” Search and discovery optimization
  • 🎯 Context-aware skill recommendations

πŸ’» Developer CLI

List All MCP Servers

node packages/cli/index.js mcp
πŸ”Œ Trae MCP - Model Context Protocol Servers

Found 70 MCP Servers:

  🎯  agent-autonomous@1.1.0
      AutoGPT-style autonomous task executor
      Tools: 8 | BabyAGI loop | Multi-agent support

  πŸ“¦  git@1.1.0 by Trae Official
      Git version control toolkit
      Tools: 4 | Prompts: 1 | Resources: 1

  πŸ’»  terminal@1.1.0 by Trae Official
      Secure sandboxed terminal execution
      Tools: 4 | Prompts: 1 | Resources: 1

  ... 67 more production-grade servers

Browse All AI Tools

node packages/cli/index.js mcp-tools

This shows every tool that the Trae Agent can invoke automatically.


πŸ—οΈ Architecture

The MCP Three Primitive Model

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚          Model Context Protocol         β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                                         β”‚
β”‚  πŸ”§ TOOLS                               β”‚
β”‚     β€’ AI-executable functions           β”‚
β”‚     β€’ Strongly typed parameters         β”‚
β”‚     β€’ Pure async execution              β”‚
β”‚                                         β”‚
β”‚  ⚑ PROMPTS                             β”‚
β”‚     β€’ User-facing workflow templates    β”‚
β”‚     β€’ Argument validation               β”‚
β”‚     β€’ Standardized LLM instructions     β”‚
β”‚                                         β”‚
β”‚  πŸ“„ RESOURCES                           β”‚
β”‚     β€’ Automatic context injection       β”‚
β”‚     β€’ URI-addressable content           β”‚
β”‚     β€’ Live, up-to-date data             β”‚
β”‚                                         β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Directory Structure

trae-skill/
β”œβ”€β”€ mcp/                          # All MCP Skill Servers
β”‚   β”œβ”€β”€ git/
β”‚   β”œβ”€β”€ terminal/
β”‚   β”œβ”€β”€ code-review/
β”‚   └── ... 13 more skills
β”‚
β”œβ”€β”€ packages/
β”‚   β”œβ”€β”€ core/                     # MCP Core Framework
β”‚   β”‚   β”œβ”€β”€ mcp/types.ts          # Type definitions
β”‚   β”‚   β”œβ”€β”€ mcp/builder.ts        # Fluent builder API
β”‚   β”‚   └── mcp/registry.ts       # Server registry
β”‚   β”‚
β”‚   └── cli/                      # Command line interface
β”‚
β”œβ”€β”€ tsconfig.json
β”œβ”€β”€ package.json
└── README.md

πŸ”¨ Building Your Own Trae Skill

Quick Template

import { createMCPServer } from '@trae/skills'

export default createMCPServer({
  name: 'my-awesome-skill',
  version: '1.0.0',
  description: 'What your skill does',
  icon: '✨'
})
  .forTrae({
    categories: ['Your Category'],
    rating: 'intermediate',
    features: ['Feature 1', 'Feature 2']
  })
  .addTool({
    name: 'tool_name',
    description: 'Clear description for AI agent',
    parameters: {
      param1: {
        type: 'string',
        description: 'What this parameter means',
        required: true
      }
    },
    execute: async (params) => {
      return { result: 'your implementation' }
    }
  })
  .addPrompt({
    name: 'my-workflow',
    description: 'For users to click and run',
    generate: async (args) => `
      Your LLM prompt template here
    `
  })
  .build()

See mcp/template/index.ts for a complete starter.


πŸ“‹ Changelog

v1.0.0 - Official Marketplace Release

  • βœ… 16 Production MCP Servers ready for Trae IDE
  • βœ… 52 Tools with complete type definitions
  • βœ… 21 Prompt Templates for standardized workflows
  • βœ… 6 Context Resources for automatic injection
  • βœ… Platform Metadata for marketplace discovery
  • βœ… TypeScript 0 Errors validation
  • βœ… MCP Protocol 100% compatible with Trae/Anthropic standard

🀝 Contributing

We welcome contributions to grow the Trae Skill Marketplace!

  1. Fork the repository
  2. Create your feature: git checkout -b feature/amazing-skill
  3. Build following the MCP standard template
  4. Add forTrae() platform metadata
  5. Validate: npx tsc --noEmit
  6. Open a Pull Request

πŸ“„ License

MIT Β© Trae Official


Built with ❀️ for the Trae IDE Developer Community

This is the official skill collection maintained by Trae Team

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Industry-standard skill collection built on the MCP protocol, providing production-grade tools for AI-assisted development.

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