What problem does it solve? Writing effective prompts for AI coding assistants is inconsistent and often produces low-quality Rust code. This Skill provides a standardized library of 21 prompt templates across seven categories so teams get predictable, idiomatic Rust output from Claude, ChatGPT, or Copilot. ## Core Features & Use Cases - Seven Template Categories: Code generation, debugging/error fixing, refactoring, code review, documentation, performance optimization, and test writing, each with trigger scenarios, variable slots, and expected output formats. - Prompt Design Principles: Five core principles covering role setting, concrete constraints (edition, crate versions), output format specification, context injection, and iterative prompt chaining. - Anti-Pattern Reference: A table of seven common prompt mistakes (vague instructions, missing context, oversized requests) with concrete improvements. - Use Case: When you hit a borrow checker error like E0502, fill Template 2.3 with the error message, function code, and caller context to get a root-cause explanation plus two ranked fix options. ## Quick Start Ask the AI to apply the debugging prompt template from this skill to analyze your Rust compiler error and suggest fixes.
