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Agent skill

Memory Hygiene

by aAAaqwq in aAAaqwq/AGI-Super-Team

Audit, clean, and optimize Clawdbot's vector memory (LanceDB).

MITAuto-check passed

Install Memory Hygiene

skills CLI
$ npx skills add aAAaqwq/AGI-Super-Team --skill memory-hygiene -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aAAaqwq/AGI-Super-Team memory-hygiene --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/memory-hygiene .claude/skills/memory-hygiene && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
memory-hygiene
GitHub stars
105
Used in
3 other repos
Token cost
~492 tokens
SKILL.md length
137 words
Files
3
Skills in repo
152
Repo updated
First seen
Licence
MIT

At a glance

Audit, clean, and optimize Clawdbot's vector memory (LanceDB).

  • Memory is bloated with junk
  • SKILL.md covers Quick Commands, Config: Disable Auto-Capture, What to Store (Intentionally) and Monthly Maintenance Cron, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Token usage is high from irrelevant auto-recalls

What it does

Memory Hygiene is an agent skill from aAAaqwq/AGI-Super-Team. Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.

Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `.clawhub/origin.json` and `_meta.json`).

The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

  • Memory is bloated with junk
  • Token usage is high from irrelevant auto-recalls
  • Setting up memory maintenance automation

Example prompts

  • “/memory-hygiene”

What it can do on your machine

Read from SKILL.md and the folder at commit 331ecd3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Memory Hygiene loads about 492 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 137 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~492

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aAAaqwq/AGI-Super-Team at commit 331ecd3, republished under its MIT licence (© aAAaqwq). 137 words, ~492 tokens.

Download SKILL.mdSave it as .claude/skills/memory-hygiene/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
memory-hygiene
description
Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.
homepage
https://github.com/xdylanbaker/memory-hygiene

Memory Hygiene

Keep vector memory lean. Prevent token waste from junk memories.

Quick Commands

Audit: Check what's in memory

memory_recall query="*" limit=50

Wipe: Clear all vector memory

bash
rm -rf ~/.clawdbot/memory/lancedb/

Then restart gateway: clawdbot gateway restart

Reseed: After wipe, store key facts from MEMORY.md

memory_store text="<fact>" category="preference|fact|decision" importance=0.9

Config: Disable Auto-Capture

The main source of junk is autoCapture: true. Disable it:

json
{
  "plugins": {
    "entries": {
      "memory-lancedb": {
        "config": {
          "autoCapture": false,
          "autoRecall": true
        }
      }
    }
  }
}

Use gateway action=config.patch to apply.

What to Store (Intentionally)

✅ Store:

  • User preferences (tools, workflows, communication style)
  • Key decisions (project choices, architecture)
  • Important facts (accounts, credentials locations, contacts)
  • Lessons learned

❌ Never store:

  • Heartbeat status ("HEARTBEAT_OK", "No new messages")
  • Transient info (current time, temp states)
  • Raw message logs (already in files)
  • OAuth URLs or tokens

Monthly Maintenance Cron

Set up a monthly wipe + reseed:

cron action=add job={
  "name": "memory-maintenance",
  "schedule": "0 4 1 * *",
  "text": "Monthly memory maintenance: 1) Wipe ~/.clawdbot/memory/lancedb/ 2) Parse MEMORY.md 3) Store key facts to fresh LanceDB 4) Report completion"
}

Storage Guidelines

When using memory_store:

  • Keep text concise (<100 words)
  • Use appropriate category
  • Set importance 0.7-1.0 for valuable info
  • One concept per memory entry

© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in skills/memory-hygiene of aAAaqwq/AGI-Super-Team.

  • SKILL.md
  • .clawhub/origin.json
  • _meta.json

Open the folder on GitHubat commit 331ecd3

Used in 3 other repositories

We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Memory Hygiene next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Memory Hygiene compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memory Hygiene this skillaAAaqwq/AGI-Super-Team1053 repos~492Automated safety check: PassMIT
SQL Optimizationgithub/awesome-copilot40k2 repos~2.3kAutomated safety check: PassMIT
Qdrant Performance Optimizationgithub/awesome-copilot40k1 repos~461Automated safety check: PassMIT
Vector Index Tuningwshobson/agents40k10 repos~557Automated safety check: PassMIT
Agent Performance Optimizerruvnet/ruflo74k2 repos~3.6kAutomated safety check: PassMIT
Vector Searchruvnet/ruflo74k—~1.5kAutomated safety check: NotesMIT

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Questions about Memory Hygiene

What does Memory Hygiene do?

Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Memory Hygiene is an agent skill from aAAaqwq/AGI-Super-Team. Audit, clean, and optimize Clawdbot's vector memory (LanceDB).

When should I use Memory Hygiene?

Memory Hygiene fits situations like: memory is bloated with junk; token usage is high from irrelevant auto-recalls; setting up memory maintenance automation.

How do I install Memory Hygiene in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill memory-hygiene -a claude-code`. Or copy the skill folder (skills/memory-hygiene in aAAaqwq/AGI-Super-Team) into .claude/skills/memory-hygiene in your project. Claude Code loads it when a task matches its description.

How do I install Memory Hygiene in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill memory-hygiene -a codex`. Or copy the skill folder (skills/memory-hygiene in aAAaqwq/AGI-Super-Team) into .agents/skills/memory-hygiene in your project. Codex loads it when a task matches its description.

Can I use Memory Hygiene in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill memory-hygiene -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-hygiene, .gemini/skills/memory-hygiene, .github/skills/memory-hygiene and .opencode/skills/memory-hygiene in your project.

What does Memory Hygiene need to run?

SKILL.md names no scripts, command-line tools or credentials: Memory Hygiene is instructions for the agent only.

Does Memory Hygiene access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Memory Hygiene safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Memory Hygiene use?

Memory Hygiene is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Memory Hygiene use?

About 492 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Memory Hygiene?

Skills that share tags, products or a category with Memory Hygiene: SQL Optimization (github/awesome-copilot, 40k stars), Qdrant Performance Optimization (github/awesome-copilot, 40k stars), Vector Index Tuning (wshobson/agents, 40k stars) and Agent Performance Optimizer (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memory Hygiene?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 152 skills in this directory. The repository was last updated on September 27, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.