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

• Runs on every message (silently)
• No user activation needed

Analysis Pipeline

Step 1: Filter Noise Skip these message types:

• Greetings (hi, hello, hey)
• Thanks/thanking
• Acknowledgments (ok, sure, yes, yeah)
• Questions without context
• Single word responses
• Bot commands

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

• Extract the key information
• Add timestamp reference
• Store in appropriate file
• Use append mode (never overwrite)

Guidelines

What to Capture

• New facts about Vini (name, preferences, goals)
• Project updates or decisions
• Ideas for future projects
• Learning insights
• Corrections (what doesn't work)
• Commitments I make

What to SKIP

• Passwords, secrets, API keys
• Trivial acknowledgments
• Basic confirmations
• Questions I'm asking
• Technical errors that are fixed

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:

• Am I capturing too much noise?
• Am I missing important things?
• Are categories correct?

Adjust based on quality of accumulated memories.

Override

User can disable or adjust this skill at any time by saying:

• "Don't store that"
• "Clear recent memories"
• "Adjust memory curation"