system-prompts

Generate XML-structured system prompts, tool docs, and agent definitions.

23.2k|2.2k|Updated Dec 31, 2025
One-click install
npx skills add https://github.com/can1357/oh-my-pi --skill system-prompts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: system-prompts
Source: https://github.com/can1357/oh-my-pi/tree/main/.claude/skills/system-prompts
Command: npx skills add https://github.com/can1357/oh-my-pi --skill system-prompts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured approach to creating high-quality system prompts, tool docs, and agent definitions using XML conventions to ensure consistent behavior across AI agents.

Core Features & Use Cases

  • Structured Prompt Templates: XML-driven prompts that define roles, context, directives, procedures, and outputs.
  • Tool Documentation: Standardized tool docs and examples to reduce ambiguity when interacting with tools.
  • Agent Definitions: Reusable agent role blocks and capabilities for scalable deployments in enterprise AI projects.
  • Use Case: When building a governed AI assistant for an organization, you can produce repeatable prompt blocks and agent templates that align with standards.

Quick Start

Use this skill to design a robust system-prompt module: generate a system prompt, tool docs, and agent definitions that follow the templates and conventions described in the body.

Frequently Asked Questions about system-prompts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create structured system prompts using XML conventions?

To create structured system prompts using XML conventions, define roles, context, directives, procedures, and outputs within XML-driven templates. This ensures standardized AI behavior and repeatable prompt blocks across enterprise deployments.

What is the best way to standardize AI agent definitions for enterprise deployments?

Standardizing AI agent definitions for enterprise deployments involves using reusable agent role blocks and capabilities. This structured approach generates scalable, repeatable agent templates that align with organizational governance standards.

How do I write tool documentation for AI agents to reduce ambiguity?

Writing tool documentation for AI agents requires standardized docs and examples structured with XML conventions. This reduces ambiguity by providing clear, structured instructions that ensure consistent agent-tool interactions.

Can I use XML tag-driven guidance for prompt engineering in research contexts?

Yes, XML tag-driven guidance supports prompt engineering in research contexts by providing structured templates and documented best practices. This ensures consistent AI behavior and reusable prompt components across experimental setups.

When do I need structured prompt templates for AI assistants?

You need structured prompt templates for AI assistants when building governed organizational systems requiring repeatable prompt blocks. They provide consistent behavior, tag-driven guidance, and documented standards for scalable enterprise projects.