Create structured AI prompts with roles, workflows, and rules.
npx skills add https://github.com/rylezhou/arlis --skill prompt-engineering-rylezhou
Please help me install this Agent Skill. Skill: prompt-engineering Source: https://github.com/rylezhou/arlis/tree/main/.agent/skills/prompt-engineering Command: npx skills add https://github.com/rylezhou/arlis --skill prompt-engineering-rylezhou
This Skill provides a structured framework and best practices for developing effective AI prompts that align with Arlis's "Forensic Advocate" mission, ensuring both precision and empathy in AI interactions.
Follow the standard protocol outlined in the documentation to build your prompt.
High-intent search queries and answers about installing and using this skill.
AI prompt best practices involve defining a consistent structure with specific roles, skills, workflows, rules, and examples to ensure output is structured, reliable, and actionable.
To create AI prompts balancing accuracy with empathy, apply Forensic Advocate principles during prompt design, integrating rigorous accuracy guidelines with a supportive, user-centric tone.
Format AI prompts for complex reasoning by following structured guidelines that define clear workflows and roles, specifically supporting advanced model thinking capabilities for reliable outputs.
This prompt engineering framework requires no external dependencies, providing a standalone reference of structured patterns and guidelines to standardize AI interactions without additional setup.
Use structured prompt guidelines when developing new AI interactions to ensure prompts remain clear, actionable, and aligned with brand voice and forensic advocacy standards.
The best way to ensure reliable AI prompt output is to enforce a structured design format incorporating explicit rules, defined roles, and examples that guide the model's reasoning process.
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