Xiaomo Assistant Template
This template streamlines Xiaomo AI interactions by providing a structured format for consistent and effective prompts, boosting productivity.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add xiaomo-assistant-template npx -- -y @trustedskills/xiaomo-assistant-template
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"xiaomo-assistant-template": {
"command": "npx",
"args": [
"-y",
"@trustedskills/xiaomo-assistant-template"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The xiaomo-assistant-template skill provides a pre-built structure for creating AI assistants. It allows developers to quickly scaffold and customize assistant workflows, including defining roles, goals, and initial prompts. This template streamlines the development process by providing a starting point that can be adapted for various applications.
When to use it
- Rapid prototyping: Quickly create a basic AI assistant for testing and demonstration purposes.
- New project setup: Avoid boilerplate code when starting a new AI agent project.
- Consistent structure: Enforce a standardized development approach across multiple AI assistants within an organization.
- Learning & experimentation: Explore different assistant configurations without building from scratch.
Key capabilities
- Pre-defined roles and goals for common assistant tasks.
- Customizable initial prompts to guide the agent's behavior.
- Scaffolding for defining assistant workflows.
- Provides a starting point for various AI assistant applications.
Example prompts
- "Create an AI assistant for summarizing customer support tickets."
- "Generate a template for an AI writing assistant focused on blog posts."
- "Build an AI agent to help me brainstorm marketing campaign ideas, using this template."
Tips & gotchas
This skill is intended as a starting point. You'll need to customize the roles, goals, and prompts to fit your specific use case for optimal performance.
Tags
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