vc-context-discovery

You can load and route task context for AI agents by indexing feature group nested files with full paths and applying domain-routed context loading from process/context to initialize the agent session.

Domain-routed context discovery is the mechanism of loading process/context files by domain to surface canonical context metadata, ensuring AI agents receive task-relevant information for downstream planning.

Frontmatter-driven routing enforces schemas on context files to make routing decisions, directing the Skill to surface canonical context metadata for downstream planning based on documented frontmatter properties.

Yes, you can apply this context discovery Skill across all task domains; it loads domain-routed context from process/context and lists feature-group files with full paths regardless of the specific domain.

The best way to aggregate contextual files to initialize an agent session is to index feature group nested files with full paths and apply frontmatter schema enforcement to surface canonical context metadata for downstream planning.

Your agent session lacks process context because feature group files are not properly indexed with full paths; enforcing frontmatter schemas and domain routing surfaces the canonical context metadata required for downstream planning.