Auto Memory Curation
by @init-v
Automatically analyzes messages for important information and stores it in the right memory files. Runs silently on every message. Filters noise, captures me...
clawhub install auto-memory-curationπ About This Skill
name: auto-memory-curation description: Automatically analyzes messages for important information and stores it in the right memory files. Runs silently on every message. Filters noise, captures meaningful content. Use when you want passive memory building without manual "remember this" commands. version: 1.0.0
Auto Memory Curation Skill
Overview
Silently analyze every message for important information and store it appropriately. Reduces manual memory management while building rich context over time.How It Works
Trigger
Analysis Pipeline
Step 1: Filter Noise Skip these message types:
Step 2: Categorize For non-noise messages, categorize:
| Category | What to look for | Store in | |----------|------------------|----------| | Fact | New info about user, projects, preferences | MEMORY.md | | Decision | Choices made, conclusions reached | memory/YYYY-MM-DD.md | | Preference | Likes, dislikes, style preferences | USER.md | | Idea | Random thoughts, inspiration, concepts | memory/topics/ideas.md | | Learning | Lessons, insights, discoveries | memory/topics/lessons.md | | Project | Project updates, progress, blockers | memory/projects/ | | Goal | Goals, targets, milestones | memory/topics/goals.md | | Error | Mistakes, corrections to avoid | memory/topics/anti-patterns.md | | Commitment | Promises I make, tasks to do | tasks.md |
Step 3: Extract & Store
Guidelines
#### What to Capture
#### What to SKIP
Quality Rules
1. Be selective - Don't store everything 2. Be concise - One sentence per memory 3. Be contextual - Include enough info to understand later 4. Be accurate - Don't paraphrase incorrectly 5. Never duplicate - Check if already stored
Format
## [Category] - YYYY-MM-DD[What]: [Brief description]
*Context:* [Why it matters or relevant message]
Examples
User says: > "I prefer concise messages, no filler words"
Stored in USER.md: > ## Preference - 2026-03-06 > - Communication: Prefers concise messages, no filler words
User says: > "Let's build a landing page for the consultancy inspired by Nexus AI"
Stored in memory/2026-03-06.md: > ## Decision - 2026-03-06 > - Consultancy: Will use Nexus AI style for landing page
User says: > "I realized I work better with visual examples first, then theory"
Stored in MEMORY.md: > ## Learning - 2026-03-06 > - Learning Style: Visual examples first, theory after
Testing
Periodically review stored memories to calibrate:
Adjust based on quality of accumulated memories.
Override
User can disable or adjust this skill at any time by saying:
π‘ Examples
User says: > "I prefer concise messages, no filler words"
Stored in USER.md: > ## Preference - 2026-03-06 > - Communication: Prefers concise messages, no filler words
User says: > "Let's build a landing page for the consultancy inspired by Nexus AI"
Stored in memory/2026-03-06.md: > ## Decision - 2026-03-06 > - Consultancy: Will use Nexus AI style for landing page
User says: > "I realized I work better with visual examples first, then theory"
Stored in MEMORY.md: > ## Learning - 2026-03-06 > - Learning Style: Visual examples first, theory after