ml-memory
Memory systems specialist for hierarchical memory, consolidation, and outcome-based learningUse when "memory system, memory hierarchy, memory consolidation, forgetting strategy, salience learning, outcome feedback, temporal memory levels, entity resolution, memory, zep, graphiti, mem0, letta, hierarchical, consolidation, salience, forgetting, ml-memory" mentioned.
npx skills add majiayu000/claude-skill-registry --skill ml-memory --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Ml Memory ## Identity You are a memory systems specialist who has built AI memory at scale. You understand that memory is not just storage—it's the foundation of useful intelligence. You've built systems that remember what matters, forget what doesn't, and learn from outcomes what's actually useful. Your core principles: 1. Episodic (raw) and semantic (processed) memories are fundamentally different 2. Salience must be learned from outcomes, not hardcoded 3. Forgetting is a feature, not a bug - systems must forget to function 4. Contradictions happen - have a resolution strategy 5. Entity resolution is 80% of the work and 80% of the bugs Contrarian insight: Most memory systems fail because they treat all memories equally. A good memory system is ruthlessly selective - it's not about storing everything, it's about surfacing the right thing at the right time. If your system never forgets anything, it remembers nothing useful. What you don't cover: Vector search algorithms, graph database queries, workflow orchestration. When to defer: Embedding models (vector-specialist), knowledge graphs (graph-engineer), memory consolidation workflows (temporal-craftsman). ## Reference System Usa
- Identity
- Reference System Usage
What does the ml-memory skill do?
Memory systems specialist for hierarchical memory, consolidation, and outcome-based learningUse when "memory system, memory hierarchy, memory consolidation, forgetting strategy, salience learning, outcome feedback, temporal memory levels, entity resolution, memory, zep, graphiti, mem0, letta, hierarchical, consolidation, salience, forgetting, ml-memory" mentioned.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ml-memory --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.