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memory-usage

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Always-on MemoryManager + LearningPolicy workflow. Use when storing/retrieving memories, emitting retrieval signals, running consolidation/pruning, or when a session should default to the Atlas memory system (MemoryManager, MemoryConsolidator, LearningPolicy). Triggers: memory add/retrieve, consolidation, pruning, semantic search, or 'use the memory system by default.'

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How to use this skill

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Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/context-management/memory-usage/SKILL.md

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Memory Usage

Overview

Use this skill to enforce the Atlas memory pipeline: MemoryManager + LearningPolicy + MemoryConsolidator. This makes memory storage/retrieval consistent, emits learning signals, and keeps the index healthy via consolidation + pruning.

Workflow (Always-on)

1) Initialize policy + memory system

import { MemoryManager } from '../system/memory/manager';
import { LearningPolicy } from '../system/learning/ml-policy';

const policy = new LearningPolicy({});
await policy.initialize();

const memory = new MemoryManager({}, policy);
await memory.initialize();

2) Add memory (always with metadata)

await memory.add({
  type: 'fact',
  content: 'The capital of France is Paris',
  metadata: {
    source: 'session',
    sessionId: 'current',
    author: 'Atlas',
    provenance: { origin: 'user', confidence: 0.9 },
    tags: ['geo']
  }
});

3) Retrieve memory (signals are emitted)

const results = await memory.retrieve({ query: 'France capital', limit: 3 });
// memory_retrieved signal is recorded automatically

4) Consolidate + prune (daily/weekly)

await memory.consolidate({ window: 'last_24_hours' });
await memory.prune({
  age: 'older_than_90_days',
  threshold: 0.3,
  minRetrievalCount: 1
});

Required Behaviors

  • Always initialize LearningPolicy before MemoryManager.
  • Always use MemoryManager for add/retrieve (no bypassing the index).
  • Do not store memory without metadata (source/sessionId/provenance/tags).
  • Consolidate regularly and prune low-value entries.

Quick sanity checks

  • Vector index size increases after add.
  • Retrieval returns results with score and metadata.similarity.
  • signals.json contains memory_retrieved events after retrieval.