POML
Enhances and structures prompts using POML best practices for more reliable AI agent workflows.
About
POML enhances and structures prompts using POML best practices, enabling AI agents to solve tasks with greater context and reliability. It aims to standardize prompts into an auditable, composable, and executable POML format, while also streamlining the conversion of existing repository documentation and configurations into actionable POML.
Key Features
- Allows dynamic prompt adjustments through YAML-based profiles and triggers for specific contexts.
- Supports LLM-driven auto-configuration for project setup, detecting project type and generating initial files.
- Enhances free-text prompts and generates structured POML templates with explicit sections.
- Generates various AI-focused documentation, including Product Requirements Prompts (PRPs) and AI Rules.
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- Discovers and converts existing Markdown documentation and configurations into POML format.
Use Cases
- Converting existing repository documentation and configurations into executable POML for agent consumption.
- Standardizing and structuring AI agent prompts for improved auditability, composability, and reproducibility.
- Automating prompt generation and workflow based on project context and specific user requests.
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