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---
name: memory-sync
description: Memory Sync Skill
---
# Memory Sync Skill
How to manually sync learnings to memory systems after tasks.
## Dual Memory Architecture
Ariff uses two complementary memory systems:
- **mem0-memory-mcp** - AI-native semantic memory for quick recall
- **obsidian-memory** - Structured vault for long-term knowledge
## Manual Sync Commands
### Quick Save to mem0
```
Use mcp__mem0-memory-mcp__add_memory to store:
- Task context and solution
- Key learnings and gotchas
- Useful commands discovered
```
### Save to Obsidian
```
Use mcp__obsidian-memory__create_note with:
- path: "tasks/YYYY-MM-DD-task-slug.md"
- content: Structured task notes
```
## Memory Entry Template
```markdown
## Task: [Brief Title]
Date: [YYYY-MM-DD]
Device: [hostname]
### Problem
[What was the issue/request]
### Solution
[How it was resolved]
### Key Learnings
- [Learning 1]
- [Learning 2]
### Related
- Previous tasks: [links]
- Documentation: [links]
```
## Creating Agent Instructions
When a mistake or pattern should be avoided in future:
1. Create instruction file at:
```
Ariff-code-config/instructions/[category]-[topic].instructions.md
```
2. Use format:
```markdown
---
description: [What this instruction prevents/ensures]
applyTo: [glob pattern like **/*.py or **/canvas/**]
---
# [Rule Title]
## Context
[When this applies]
## Rule
[What to do/not do]
## Example
[Good vs bad example]
```
3. Add to 00_INSTRUCTIONS_INDEX.md if significant
## Reconciliation
If memories seem out of sync:
1. Query both systems for topic
2. Compare entries
3. Update older system with newer info
4. Remove duplicates with less detail
## When to Save
Save memory when:
- ✅ Task completed successfully
- ✅ Discovered non-obvious solution
- ✅ Made mistake worth remembering
- ✅ Found useful tool/command
- ✅ Clarified user preference
Skip saving when:
- ❌ Trivial task (simple file edit)
- ❌ Already documented elsewhere
- ❌ One-off unique situation