What problem does it solve?
Prompting standardizes how prompts are generated, optimized, and composed across PAI so downstream skills get consistent, high-signal instructions.
Core Features & Use Cases
- Meta-prompting standard library: Claude 4.x + context engineering best practices, Fabric patterns, and markdown-first structure.
- Handlebars-based prompt templates: creates agent briefings, workflow structure, gates, and eval prompts (judge/rubric/test cases/comparisons/reports).
- Token-efficiency via template extraction: reduces repeated prompt bloat and keeps only the variable content dynamic.
- Prompt-only output: always returns prompts meant to be used elsewhere (use domain skills for final content).
- Uses validation and lifecycle hygiene: provides guidance and logging patterns for repeatable workflow execution.
Quick Start
Ask the AI to generate a meta-prompt for an upcoming task by specifying what you want the resulting prompt to accomplish and the target output format.