Generate agent definition templates with XML tag hierarchy and RFC 2119 norms.
npx skills add https://github.com/sergical/pi-config --skill system-prompts-sergical
Please help me install this Agent Skill. Skill: system-prompts Source: https://github.com/sergical/pi-config/tree/main/skills/system-prompts Command: npx skills add https://github.com/sergical/pi-config --skill system-prompts-sergical
This Skill provides a comprehensive guide to writing effective system prompts and agent definitions, enabling users to significantly improve AI performance and reliability.
Use the system-prompts skill to generate a template for a new agent definition.
High-intent search queries and answers about installing and using this skill.
A structured XML tag hierarchy organizes system prompts into clear sections, enabling AI agents to parse instructions, constraints, and tool definitions more effectively for improved performance and reliability.
Writing an effective AI agent definition involves specifying its role, operational procedures, and constraints using normative language and empirically validated best practices to ensure clear, safe, and reliable behavior.
Common anti-patterns in system prompts include ambiguous instructions and poorly structured tool documentation, which this framework identifies and helps you avoid to enhance AI safety and performance.
You need normative language like RFC 2119 in LLM prompts to define strict operational constraints and requirements, ensuring the AI agent adheres precisely to specified behaviors and safety protocols.
Yes, this prompt engineering framework provides ready-to-use templates for documenting tools, ensuring that AI agents can accurately understand and interact with external functions and APIs.
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