Claude Skills by star-ga

MIND-Mem Python development guide

Review and apply intelligence proposals generated by /scan. Uses atomic operations with rollback safety.

Run the intelligence scanner to detect contradictions, drift, dead decisions, and missing cross-references across the entire memory workspace.

Search across all structured memory files. Default backend: BM25 scoring with Porter stemming and domain-aware query expansion. Optional: graph-based cross-reference boosting (`--graph`). Optional: vector/embedding backend (configure in mind-mem.json). Returns ranked results with block ID, type, score, excerpt, and file path.