Manage in-memory key-value storage with TTL for Catalyst applications.
npx skills add https://github.com/catalystbyzoho/agent-skills --skill catalyst-cache
Please help me install this Agent Skill. Skill: catalyst-cache Source: https://github.com/catalystbyzoho/agent-skills/tree/main/skills/catalyst-cache Command: npx skills add https://github.com/catalystbyzoho/agent-skills --skill catalyst-cache
This Skill provides a streamlined way to manage in-memory data with Time-to-Live (TTL) settings, ideal for session and temporary data storage in Catalyst applications.
Use the catalyst-cache skill to store a temporary token with a TTL of 1 hour for a user session.
High-intent search queries and answers about installing and using this skill.
In-memory data caching with TTL is managed by storing key-value pairs in your Catalyst application context. You set a specific Time-to-Live value for temporary data like user sessions or tokens to ensure automatic expiration.
Storing temporary tokens in a Catalyst application is best handled through an in-memory key-value store with a defined TTL. This approach securely manages ephemeral string values and automatically clears them upon expiration.
Yes, you can use Catalyst SDK operations to manage ephemeral key-value storage. The Skill leverages the Catalyst application context to manipulate string values and configure TTL settings for temporary data.
In-memory caching in Catalyst currently supports string values exclusively. You must serialize any complex data structures into string format before storing them in the key-value store with TTL settings.
TTL-based in-memory storage should be used for ephemeral data like session information, temporary tokens, or cache results of expensive computations. It automatically clears data upon expiration, making it unsuitable for persistent database needs.
Cached session values expire immediately in Catalyst if the TTL is set too low or omitted. You must explicitly define an appropriate Time-to-Live duration when storing string values to ensure they persist for the intended session period.
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