prompt-engineering

A structured prompt framework enforces consistent AI behavior by defining persona, context, constraints, output format, and examples. It uses ALWAYS/NEVER rules to enforce hard constraints, ensuring reliable responses when building rules, agents, skills, or system prompts.

To create precise prompts for Cursor, use a formal framework specifying persona, context, constraints, outputs, and examples. Enforce strict boundaries using ALWAYS/NEVER statements to guide the AI coding assistant's behavior reliably across rules, agents, and system prompts.

Yes, you can reuse pattern catalogs including few-shot, chain-of-thought, negative constraints, and structured outputs to accelerate prompt creation. These patterns provide a repeatable template for designing high-quality system prompts and rules for AI coding assistants.

The best way to define hard constraints in AI prompts is by using ALWAYS/NEVER statements within a structured framework. This enforces strict boundaries on the AI's behavior, preventing inconsistent outputs and ensuring the generated code or rules adhere to specified requirements.

Yes, this structured prompt approach works for building agents, skills, rules, and system prompts. By defining persona, context, constraints, output format, and examples, it provides a repeatable template that ensures consistent behavior across various AI coding assistant workflows.