memory-status

name	memory-status
description	Show MemPalace memory system status — drawer counts, wings, rooms, knowledge graph stats, and embedding model state.
user_invocable	true
metadata	{"author":"dimetron","version":"1.0"}

When to use

Use this skill when the user wants to:

• Check the current state of the palace memory system
• See how many drawers, wings, and rooms exist
• Verify the embedding model is loaded
• View knowledge graph statistics (entities, triples, predicates)
• Diagnose palace issues or verify mining results

What it does

Runs pi memory status to display a comprehensive overview of the palace:

• Drawer count: Total knowledge units stored
• Wing count: Number of project namespaces
• Room count: Number of topical areas
• Model status: Whether the embedding model is loaded
• Knowledge Graph: Entity count, triple count (active vs total), predicates in use
• Wing details: Per-wing breakdown of drawers and rooms

Steps

1. Run the status command:

# Default: looks for .pi-go/palace.db in current directory
pi memory status

# Specify a custom database path
pi memory status --db ~/.pi-go/palace.db

2. If no palace database is found, suggest running pi memory init .
3. Present the output to the user in a clear format

Arguments

The user can pass arguments after /memory-status:

• --db <path> to specify a custom palace database path

Examples:

• /memory-status — show status for current project
• /memory-status --db ~/.pi-go/palace.db — show status for global palace

Additional diagnostics

If the user needs deeper insight, chain with other commands:

# Search for specific knowledge
pi memory search "auth middleware"

# Check recent observations
pi memory recent

# View knowledge graph for an entity
pi memory kg query "pi-go"

# Show L0+L1 context that would be injected
pi memory wake-up

Notes

• If the palace DB doesn't exist, the command exits gracefully with instructions
• Model "not loaded" means semantic search falls back to FTS5 keyword matching
• Run pi memory model download to enable semantic embeddings