Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Memory Cache
High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and JSON serialization for session context and API...
skill openclawclawhub Free
High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and JSON serialization for session context and API...
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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, env.example.txt, references/key-standards.md, requirements.txt, scripts/cache.sh, scripts/cache_manager.py
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
- 1.1.9
Provenance
- Publisher
- 1999AZZAR
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Memory Cache
Standardized Redis-backed caching system for OpenClaw agents.
Prerequisites
Binary: python3 must be available on the host. Credentials: REDIS_URL environment variable (e.g., redis://localhost:6379/0).
Setup
Copy env.example.txt to .env. Configure your connection in .env. Dependencies are listed in requirements.txt.
1. Store and Retrieve
Store: python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py set mema:cache:<name> <value> [--ttl 3600] Fetch: python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py get mema:cache:<name>
2. Search & Maintenance
Scan: python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py scan [pattern] Ping: python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py ping
Key Naming Convention
Strictly enforce the mema: prefix: mema:context:* โ Session state. mema:cache:* โ Volatile data. mema:state:* โ Persistent state.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts2 Files
- SKILL.md
- references/key-standards.md
- scripts/cache_manager.py
- scripts/cache.sh
- env.example.txt
- requirements.txt