functional-area-resolver

You can compress a large agent routing file by grouping individual skill triggers into functional-area dispatchers. This two-layer dispatch pattern reduces file size by up to 50% while maintaining routing accuracy for LLM agents.

Functional area routing is a compression technique that collapses granular skill-per-row tables into grouped dispatchers like Brain & Knowledge. It prevents routing files such as AGENTS.md from consuming valuable context budget needed for task execution.

You need to optimize your agent routing table when the file exceeds 20KB and starts impacting agent performance. Compressing the resolver file reduces the context budget consumed by routing instructions and restores window availability.

To maintain routing accuracy after compressing a resolver file, you must perform structural verification and A/B evaluation. This ensures the functional-area dispatchers correctly route triggers compared to the original uncompressed table.

Yes, you can group related skills into functional areas without losing precision by implementing a two-layer dispatch pattern. This hierarchical routing approach maintains high routing accuracy while significantly reducing the overall file size.

The main limitation of compressing agent routing tables is the requirement for rigorous structural verification and A/B evaluation. Without testing, grouping skills into functional areas risks degrading routing accuracy compared to individual trigger rows.