Night Market Skill — ported from claude-night-market/memory-palace. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Table of Contents

• What It Is
• Quick Start
• Search Palaces
• List All Palaces
• When to Use
• Search Modalities
• Core Workflow
• Target Metrics
• Detailed Resources
• PR Review Search
• Quick Commands
• Review Chamber Rooms
• Context-Aware Surfacing
• Integration

Knowledge Locator

A spatial indexing and retrieval system for finding information within and across memory palaces. Enables multi-modal search using spatial, semantic, sensory, and associative queries.

What It Is

The Knowledge Locator provides efficient information retrieval across your memory palace network by:

• Building and maintaining spatial indices for fast lookup
• Supporting multiple search modalities (spatial, semantic, sensory)
• Mapping cross-references between palaces
• Tracking access patterns for optimization

Quick Start

Search Palaces

python scripts/palace_manager.py search "authentication" --type semantic

Verification: Run python --version to verify Python environment.

List All Palaces

python scripts/palace_manager.py list

Verification: Run python --version to verify Python environment.

When To Use

• Finding specific concepts within one or more memory palaces
• Cross-referencing information across different palaces
• Discovering connections between stored information
• Finding information using partial or contextual queries
• Analyzing access patterns for palace optimization

When NOT To Use

• Creating new palace structures - use memory-palace-architect
• Processing new external resources - use knowledge-intake
• Creating new palace structures - use memory-palace-architect
• Processing new external resources - use knowledge-intake

Search Modalities

Core Workflow

1. Build Index - Create spatial index of all palaces
2. Optimize Search - Configure search strategies and heuristics
3. Map Cross-References - Identify inter-palace connections
4. Test Retrieval - Validate search accuracy and speed
5. Analyze Patterns - Track and optimize based on usage

Target Metrics

• Retrieval latency: ≤ 150ms cached, ≤ 500ms cold
• Top-3 accuracy: ≥ 90% for semantic queries
• Robustness: ≥ 80% success with incomplete queries

Detailed Resources

• Index Structure: See modules/index-structure.md
• Search Strategies: See modules/search-strategies.md
• Cross-Reference Mapping: See modules/index-structure.md

PR Review Search

Search the review chamber within project palaces for past decisions and patterns.

Quick Commands

# Search review chamber by query
python scripts/palace_manager.py search "authentication" \
  --palace <project_id> \
  --room review-chamber

# List entries in specific room
python scripts/palace_manager.py list-reviews \
  --palace <project_id> \
  --room decisions

# Find by tags
python scripts/palace_manager.py search-reviews \
  --tags security,api \
  --since 2025-01-01

Verification: Run python --version to verify Python environment.

Review Chamber Rooms

Context-Aware Surfacing

When starting work in a code area, surface relevant review knowledge:

# When in auth/ directory
python scripts/palace_manager.py context-search auth/

# Returns:
# - Past decisions about authentication
# - Known patterns in this area
# - Relevant standards to follow

Verification: Run python --version to verify Python environment.

Integration

Works with:

• memory-palace-architect - Indexes palaces created by architect
• session-palace-builder - Searches session-specific palaces
• digital-garden-cultivator - Finds garden content and links
• review-chamber - Searches PR review knowledge in project palaces

Troubleshooting

Common Issues

Command not found Ensure all dependencies are installed and in PATH

Permission errors Check file permissions and run with appropriate privileges

Unexpected behavior Enable verbose logging with --verbose flag