What problem does it solve?
Prompt-craft helps you turn vague or brittle prompt instructions into a dependable, inspectable prompt structure that reliably produces the right output format and behavior under realistic inputs.
Core Features & Use Cases
- Instruction hierarchy and message roles: place stable policy and rules above user-controlled content to reduce instruction-confusion failures.
- Prompt anatomy and structure: design task statements, context boundaries, procedures, examples, and failure paths so the model knows exactly what to do.
- Output-format discipline: specify a clear output contract (including structured output expectations) and define verification, retries, and fallback behavior.
- Few-shot and boundary cases: use counterexamples and edge cases to prevent the prompt from teaching the wrong pattern.
- Prompt-injection resistance guidance: separate instructions from data and describe how to respond to attempted overrides or prompt extraction.
- Eval-driven iteration: revise one prompt surface at a time and keep changes only when they improve measured outcomes.
Quick Start
Use prompt-craft to rewrite your agent prompt so it enforces a strict instruction hierarchy, a clear output contract, and a safe retry/fallback path for invalid or missing information.
