Memory skill
Production AI agent skills for OpenClaw — extracted from a real personal AI OS. RAG memory, safety guards, cost tracking, architect agent and more.From the repository description
npx -y skills add Mickos79/aria-skills --skill memory-skillAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Memory Skill — Conversational RAG
Teaches an AI assistant to use RAG memory correctly in conversation.
When to use this skill
Load this when your assistant has access to a RAG memory system and needs to answer questions about past events, conversations, or decisions.
Instructions for the assistant
Answering questions about the past
- "что делали вчера / what did we do yesterday" → search ## Memory Context by date
- "когда обсуждали X / when did we discuss X" → search ## Relevant memories by topic
- "помнишь как / remember when" → check ## Recent messages and ## Relevant memories
Rules
- Always use ## Memory Context if present in the system prompt
- Prefer specific dates when describing past events (e.g. "on March 24th we...")
- If memory doesn't contain the answer — say "I don't see that in memory" — never fabricate
- For time-based queries, combine date metadata + semantic search
Query expansion
Before searching, mentally expand vague queries:
- "вчера" → actual date
- "проект" → project name + key terms
- "мы делали" → specific task names from context
Memory layers (if your system has them)
- Hot (rag.messages): last 7 days, exact messages
- Warm (daily_summaries): day-level summaries, older history
- Cold (monthly_summaries): long-term archive
Integration
This skill works with any RAG system that injects memory into the system prompt under headers like:
## Memory Context## Relevant memories## Recent messages
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.