Manage hyperflow memory entries with CRUD, search, and filtering.
npx skills add https://github.com/Mohammed-Abdelhady/hyperflow --skill cache-mohammed-abdelhady
Please help me install this Agent Skill. Skill: cache Source: https://github.com/Mohammed-Abdelhady/hyperflow/tree/main/skills/cache Command: npx skills add https://github.com/Mohammed-Abdelhady/hyperflow --skill cache-mohammed-abdelhady
The cache skill simplifies memory management for hyperflow users, enabling CRUD operations on .hyperflow/memory/ without altering source code.
Execute the command /hyperflow:cache [command] where [command] is one of 'show', 'search', 'add', 'edit', 'prune', 'archive', 'clear', 'stats', 'migrate', 'off', 'compact'.
High-intent search queries and answers about installing and using this skill.
You can manage hyperflow memory entries by executing Python scripts that provide a CRUD interface on the `.hyperflow/memory/` directory, enabling create, read, update, and delete operations without touching source code.
The best way to search and filter memory entries is using the `search` command, which efficiently queries `.hyperflow/memory/` entries by tags or date through Python execution scripts.
You can archive or clear memory entries based on age or condition by executing the `archive`, `prune`, or `clear` commands, which manage memory lifecycle without modifying source code.
Yes, you need Python installed because the cache Skill requires Python scripts for execution and utilizes YAML frontmatter for configuration to perform CRUD operations.
Yes, you can view statistics or compact memory entries by running the `stats` and `compact` commands, which are part of the available operations for managing hyperflow memory entries.
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