Memory Review
Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics.
Before & after
Same prompt, same agent — the only difference is the skill.
That's a thoughtful question. You'd need to look back at what you've written down or what Claude has learned about you over time. Some things are important enough to remember long-term, others are just temporary notes that you can delete. You might have some insights that keep coming up and should be promoted to a more persistent place. There could be duplicate entries that should be consolidated. It's worth doing this review periodically to keep your memory clean and useful. Have you written down any learnings recently? What areas are most important to remember? Do you track your goals or habits anywhere? I can help you think through what matters most.
AUTO-MEMORY ANALYSIS TOTAL ENTRIES: 124 active records Last review: 45 days ago HEALTH METRICS: Age distribution: 18 recent (0-30 days), 42 active (1-6 months), 64 stale (6+ months) Redundancy: 7 duplicate/near-duplicate entries found Priority balance: 34 high, 56 medium, 34 low Coverage gaps: 4 areas needing attention PROMOTION CANDIDATES (should be permanent): 1. Decision framework for contract negotiations (3 references, last used 12 days ago) 2. Company communication style (referenced in 8 outputs) 3. Revenue calculation formula (used monthly) 4. Customer value prop positioning (referenced in 6 pieces) RECOMMENDATION: Promote these 4 to core knowledge STALE ENTRIES (consider pruning): 1. Q1 hiring timeline (outdated, 4 months old) 2. Pricing experiment notes (superseded by new data) 3. Vendor comparison from March (replaced by August vendor) 4. Three old meeting notes without follow-up RECOMMENDATION: Archive these 4, delete meeting notes CONSOLIDATION OPPORTUNITIES: Found 7 partial duplicates about customer feedback Merge into single structured entry Result: 3 entries saved, cleaner history COVERAGE GAPS: Missing: 2026 goals and milestones Missing: Updated competitive landscape notes Missing: Current product roadmap reasoning RECOMMENDATION: Add 3 new entries this week ACTION PLAN: ✓ Promote 4 entries ✓ Archive/delete 7 stale items ✓ Consolidate 7 duplicates ✓ Add 3 new gap entries Post-review entry count: 113 (more focused, more usable)
About this skill
name: memory-review description: Use when Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics.
Memory Review
Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics. Use when the user runs /si:memory-review or asks what has been learned and what should be promoted or pruned.
What you get
- Public GitHub repo (alirezarezvani/claude-skills)
- the memory-review skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.
Customize your output
- Fork the repo and adapt the skill's instructions and references to your workflow.
Example output
Activates automatically when your request matches Memory Review; chains with the other skills, agents, and commands in the collection.
Best for
Creators, builders, and teams using Claude Code.
SKILL.md preview
---
name: memory-review
description: Use when analyzing an agent's auto-memory to find promotion candidates, stale entries, consolidation opportunities, or overall memory health.
version: 1.0.0
category: Development / Engineering
author: AgentVolt
license: proprietary
tags:
- development
- engineering
---
# Memory Review
Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics.
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