review

Auditing auto-memory involves reading MEMORY.md and topic files to identify stale entries, recurring patterns, and consolidation opportunities. The review skill cross-references these with CLAUDE.md to detect conflicts and generate a structured optimization report for memory hygiene.

Identifying promotion candidates in memory files requires analyzing entries for recurrence and relevance against existing rules. The review skill validates MEMORY.md contents to flag high-value entries suitable for promotion, producing actionable recommendations for memory retention.

Memory health analysis works by locating the memory directory and reading MEMORY.md to assess startup size and line count. It then cross-references topic files and CLAUDE.md across projects to ensure alignment, detect conflicts, and evaluate overall memory structure.

Yes, auto-memory optimization handles large MEMORY.md files by analyzing entry staleness and outdated references. The review skill flags outdated content for removal or consolidation, ensuring the memory structure remains actionable and aligned with current project rules.

Automated memory consolidation relies on validating entries against existing CLAUDE.md rules and topic files. Limitations include potential conflicts during cross-referencing and the need for manual review of the generated promotion and consolidation report before applying structural changes.