Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Memory Hygiene
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.
skill openclawclawhub Free
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.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- dylanbaker24
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 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: { "plugins": { "entries": { "memory-lancedb": { "config": { "autoCapture": false, "autoRecall": true } } } } } Use gateway action=config.patch to apply.
What to Store (Intentionally)
β Store: User preferences (tools, workflows, communication style) Key decisions (project choices, architecture) Important facts (accounts, credentials locations, contacts) Lessons learned β 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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md