Machine-oriented context for AI coding agents, generated deterministically from the repository's symbol graph (no LLM involved). Reading this pack instead of scanning the source tree saves tokens: one map read plus targeted doc lookups replaces repeated file reads and greps.

File	What it is	When to read it
repo-map	Subsystem map + most-connected symbols	First — orientation
symbol-graph.json	Full queryable symbol graph (kind, file, subsystem, complexity, dependencies, doc path)	To trace exact dependencies or find a symbol
`../Code/**`	Per-file generated documentation	For the behaviour of a specific file
`../Synthesis/Architecture.md`	Cross-cutting architecture narrative + diagram	For the big picture

Suggested workflow: read repo-map.md; locate the symbols relevant to your task in symbol-graph.json (each carries a doc path and dependsOn edges); open only those docs/sources. The pack is regenerated on every full documentation run, so it matches the commit recorded in the graph's commit field.