A high-performance caching utility providing intelligent data retention through LRU and LFU eviction strategies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-cache
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install smart-cache using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Smart Cache?
Smart Cache is a sophisticated performance optimization tool designed to streamline data handling within your AI workflows. By serving as a robust middleware layer for Openclaw Skills, it allows developers to implement intelligent caching mechanisms that reduce latency, minimize redundant API calls, and lower operational costs. Whether you are managing frequent LLM responses or temporary session data, this skill ensures your agent maintains a lean memory footprint while prioritizing the most relevant information.
This utility provides granular control over data lifecycle management through configurable Time-To-Live (TTL) settings and size limits. Built with developer experience in mind, it integrates seamlessly into the Openclaw Skills ecosystem, offering a programmatic way to handle state and persistence without the complexity of external database management.
Smart Cache Use Cases
- Minimizing latency by caching frequent search results or API responses within your Openclaw Skills.
- Managing memory usage in long-running agent sessions by automatically evicting stale data.
- Reducing costs associated with redundant LLM inference calls through response reuse.
- Implementing session-based data persistence with automated TTL-based cleanup.
How Smart Cache Works
- Initialize the Smart Cache instance within your Openclaw Skills environment, selecting between LRU (Least Recently Used) or LFU (Least Frequently Used) strategies.
- Define maximum size constraints and default TTL values to prevent memory leaks and ensure data freshness.
- Store data using a key-value pair, optionally overriding the global TTL for specific high-priority items.
- Access data through the get method, which automatically checks for expiration and updates access tracking for eviction logic.
- Monitor cache performance using the getStats method to evaluate hit rates and optimize your caching configuration.
Smart Cache Setup
To get started with this cache utility, ensure it is registered in your Openclaw Skills directory. You can configure the caching behavior through a simple JSON object:
{
"strategy": "lru",
"maxSize": 500,
"defaultTTL": 3600000
}
For local development, you can instantiate the class directly within your agent code:
const cache = new skills.smartCache.SmartCache({
strategy: 'lru',
maxSize: 500
});
Smart Cache Data Schema & Taxonomy
Smart Cache organizes information in an internal Map, tracking metadata to support various eviction strategies within Openclaw Skills.
| Attribute | Type | Description |
|---|---|---|
value |
Any | The actual data payload being cached |
expiresAt |
Timestamp | Unix timestamp when the entry is considered expired |
createdAt |
Timestamp | Time of insertion used for lifecycle auditing |
accessCount |
Integer | Counter used by the LFU strategy to identify least frequent usage |
accessOrder |
Array | Ordered list of keys used by the LRU strategy to identify least recent usage |
Smart Cache Advanced Features
- Dual Eviction Logic: Choose between LRU for temporal relevance or LFU for frequency-based importance.
- Granular TTL Management: Set expiration times on a per-entry basis for highly dynamic data.
- Real-time Analytics: Access detailed statistics including size, hit rates, and strategy performance for your Openclaw Skills.
- Automated Cleanup: Built-in eviction cycles that trigger automatically when reaching capacity limits.
SKILL.md
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