Prompt Template Builder
This skill automatically generates optimized prompt templates for various AI models, streamlining your workflows and improving response quality.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add patricio0312rev-prompt-template-builder npx -- -y @trustedskills/patricio0312rev-prompt-template-builder
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"patricio0312rev-prompt-template-builder": {
"command": "npx",
"args": [
"-y",
"@trustedskills/patricio0312rev-prompt-template-builder"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides a dedicated interface for constructing and managing prompt templates, allowing users to define structured inputs for AI agents. It streamlines the creation of reusable instruction sets to ensure consistent and reliable agent behavior across different tasks.
When to use it
- You need to standardize how an AI agent receives instructions for repetitive workflows.
- You want to separate complex logic from the core prompt text by using variable placeholders.
- You are building a multi-agent system where specific agents require distinct, pre-defined communication patterns.
- You aim to reduce token usage and improve response quality by enforcing strict template structures.
Key capabilities
- Interface for defining structured prompt templates with dynamic variables.
- Mechanism to manage reusable instruction sets for AI agents.
- Support for creating consistent input formats across various agent interactions.
Example prompts
- "Create a new prompt template for a customer support agent that includes placeholders for user ID and issue type."
- "Update the existing email drafting template to include a mandatory tone parameter and a subject line variable."
- "List all available variables in the current coding assistant template and explain their usage."
Tips & gotchas
Ensure your variable names are clearly defined within the template logic to prevent ambiguity during runtime. Test templates with diverse input data before deploying them in production environments to verify that placeholders resolve correctly.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.