recipe-assembly

Automating content assembly uses slice-based recipes to define sources, templates, and deployment targets in a single manifest. This produces repeatable, deployment-ready artifacts by enforcing a structured pipeline of discovery, extraction, templating, output, and synchronization.

Slice architecture for context assembly extracts content by specific slice markers to compile precise content fragments. It enforces a recipe schema containing name, target locations, sources, and template fields to gather distributed vault content into targeted outputs deterministically.

Templating and synchronizing vault content uses a recipe-driven workflow to assemble artifacts and deploy them across multiple destinations. The pipeline applies templates during the output stage and enforces synchronization to maintain a reliable audit trail across all targets.

Running the discovery and templating workflow requires executing the provided Python scripts. These scripts automate the assembly pipeline stages, enabling you to discover sources, apply templates, and synchronize the final deployment-ready artifacts to their target locations.

Compiling vault content into deployment-ready artifacts is best handled by deterministic, recipe-driven assembly. Defining a manifest with sources and templates ensures the pipeline produces identical, repeatable outputs across multiple synchronization targets without manual intervention.

You should not use a recipe schema for context assembly when your outputs require non-deterministic, ad-hoc generation outside a repeatable pipeline. The enforced schema demands structured source definitions and template fields, making it unsuitable for highly dynamic or unstructured content extraction workflows.