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/knowledge-locator

Searches and navigates stored knowledge in memory palaces. Use when looking for previously stored information or cross-referencing concepts across palaces.

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claude-night-market
337200 skills59 agents162 commands1 MCP
Install
$ npx -y skills add athola/claude-night-market --skill knowledge-locator --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/knowledge-locator

Context preview

The summary Claude sees to decide when to auto-load this skill.

Searches and navigates stored knowledge in memory palaces. Use when looking for previously stored information or cross-referencing concepts across palaces.

SKILL.md

knowledge-locator.SKILL.md
name: knowledge-locator
description: Searches and navigates stored knowledge in memory palaces. Use when looking for previously stored information or cross-referencing concepts across palaces.
alwaysApply: false
category: navigation
tags:
- retrieval
- search
- indexing
- recall
- spatial-memory
- pr-review
dependencies:
- memory-palace-architect
- review-chamber
scripts:
- palace_manager.py
usage_patterns:
- search
- cross-reference
- discovery
- review-search
complexity: intermediate
model_hint: standard
estimated_tokens: 500

Table of Contents

  • [What It Is](#what-it-is)
  • [Quick Start](#quick-start)
  • [Search Palaces](#search-palaces)
  • [List All Palaces](#list-all-palaces)
  • [When to Use](#when-to-use)
  • [Search Modalities](#search-modalities)
  • [Core Workflow](#core-workflow)
  • [Target Metrics](#target-metrics)
  • [Detailed Resources](#detailed-resources)
  • [PR Review Search](#pr-review-search)
  • [Quick Commands](#quick-commands)
  • [Review Chamber Rooms](#review-chamber-rooms)
  • [Context-Aware Surfacing](#context-aware-surfacing)
  • [Integration](#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

| Mode | Description | Best For | |------|-------------|----------| | **Spatial** | Query by location path | "Find concepts in the Workshop" | | **Semantic** | Search by meaning/keywords | "Find authentication-related items" | | **Sensory** | Locate by sensory attributes | "Blue-colored concepts" | | **Associative** | Follow connection chains | "Related to OAuth" | | **Temporal** | Find 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

| Room | Content | Example 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

Exit Criteria

  • [ ] `scripts/palace_manager.py search "<query>"` returns results

within 500ms for a cold query against an indexed palace

  • [ ] At least one of the five search modalities (spatial, semantic,

sensory, associative, temporal) returns ranked results for a valid query against an existing palace

  • [ ] Top-3 accuracy target of ≥ 90% is met for semantic queries when

the queried concept is present in the indexed palace

  • [ ] Incomplete or partial queries return results rather than errors,

satisfying the ≥ 80% robustness target

  • [ ] If no palace exists to search, user is directed to

`memory-palace-architect` rather than returning an empty resu

Read more
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