Retention 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 retention-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
1.6 KB, 386 tokens by cl100k_base, as published. Nobody here has run it
Retention Skill — Layered Memory Archival
Automatically archives conversation history to prevent unbounded growth while preserving all knowledge.
Memory layers
Hot → rag.messages → last 7 days, exact messages
Warm → rag.daily_summaries → day-level summaries (7-30 days)
Cold → rag.monthly_summaries → month-level summaries (30+ days)
Archive → never deleted
Archival rules
- Messages older than 7 days → create daily_summary → delete messages
- Daily summaries older than 30 days → create monthly_summary → delete daily
- Monthly summaries → never delete
When to run
Daily cron at 02:00 UTC:
0 2 * * * node /path/to/retention.js
Key principle
Never lose information — always summarize before deleting. Each layer trades granularity for longevity.
SQL schema (PostgreSQL + pgvector)
-- Hot layer
CREATE TABLE rag.messages (
id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
user_id text NOT NULL,
channel text,
role text NOT NULL, -- 'user' | 'assistant'
content text NOT NULL,
embedding vector(1536),
created_at timestamptz DEFAULT now()
);
-- Warm layer
CREATE TABLE rag.daily_summaries (
id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
user_id text NOT NULL,
summary_date date NOT NULL,
content text NOT NULL,
embedding vector(1536),
UNIQUE(user_id, summary_date)
);
-- Cold layer
CREATE TABLE rag.monthly_summaries (
id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
user_id text NOT NULL,
summary_date date NOT NULL,
content text NOT NULL,
embedding vector(1536)
);
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.