OpenSkillIndex← back to search
claude-coderesearch

Claude-night-market knowledge-locator

Search and navigate stored knowledge in memory palaces. Use for cross-referencing, context retrieval.

install
source · Clone the upstream repo
git clone https://github.com/athola/claude-night-market
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/athola/claude-night-market "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/memory-palace/skills/knowledge-locator" ~/.claude/skills/athola-claude-night-market-knowledge-locator && rm -rf "$T"
manifest: plugins/memory-palace/skills/knowledge-locator/SKILL.md
tags
#retrieval#search#indexing#spatial-memory#recall#navigation
source content

Table of Contents

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

ModeDescriptionBest For
SpatialQuery by location path"Find concepts in the Workshop"
SemanticSearch by meaning/keywords"Find authentication-related items"
SensoryLocate by sensory attributes"Blue-colored concepts"
AssociativeFollow connection chains"Related to OAuth"
TemporalFind by creation/access date"Recently accessed"

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

RoomContentExample Query
decisions/
Architectural choices"JWT vs sessions"
patterns/
Recurring solutions"error handling pattern"
standards/
Quality conventions"API error format"
lessons/
Post-mortems"outage learnings"

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