Prompting

Prompt engineering templates at scale are managed by composing programmable modules using a Handlebars rendering engine and YAML/JSON data sources. This framework allows you to generate and standardize agent briefs and workflow prompts centrally.

Meta-prompting is the practice of programmatically generating and optimizing prompts. A Handlebars-based templating system applies to this by rendering prompts from standard primitives and data sources, enabling scalable composition across agents and evaluations.

Yes, you can generate agent briefs automatically by running the RenderTemplate engine with Handlebars templates and YAML/JSON data sources. This composes standardized prompts directly from your structured data files.

Compose evaluation prompts by applying context-engineering principles and Fabric-style prompt patterns through a rendering engine. You combine standard template primitives with structured data sources to generate consistent eval prompts.

Yes, this prompt optimization framework operates without external dependencies. It relies entirely on an internal Handlebars-based rendering engine and standard YAML/JSON data sources to compose and manage prompt templates.

Use a programmatic prompt template when you need to scale meta-prompting across multiple agents, evaluations, or development workflows. It replaces manual writing with reusable, standardized modules rendered from data sources for consistency.