aget-studyup

To research knowledge base artifacts before implementation, run the study_up script with a target topic. It scans L-docs, patterns, PROJECT_PLANs, SOPs, and governance files to surface relevant precedents and cross-cutting constraints.

Cross-KB topic research for feature planning is the process of querying multiple knowledge base sources to collect context. This Skill searches L-docs and SOPs to inform architecture decisions and ensure policy alignment.

Yes, you can scan SOPs and governance documents without modifying source files. The study_up script performs read-only research across the knowledge base and generates human-friendly and JSON outputs.

Yes, knowledge base research for risk assessment works without external dependencies. The Skill requires only access to the knowledge base itself to surface constraints and precedents that guide implementation decisions.

The best way to surface precedents and constraints from project plans is to run targeted KB scanning. This approach searches PROJECT_PLANs and governance artifacts to extract precedent-rich context for architecture alignment.

A limitation of automated knowledge base research is that it only surfaces context from existing KB artifacts like L-docs and patterns. It does not modify source files or generate new implementation code, requiring manual review of outputs.