cache

Manage hyperflow memory entries with CRUD, search, and filtering.

3|Updated May 14, 2026

Search Tags:#project management #memory management #CRUD operations #search and filter #hyperflow

Ready to run

npx skills add https://github.com/Mohammed-Abdelhady/hyperflow --skill cache-mohammed-abdelhady

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The cache skill simplifies memory management for hyperflow users, enabling CRUD operations on .hyperflow/memory/ without altering source code.

Core Features & Use Cases

CRUD Operations: Perform create, read, update, delete operations on memory entries.
Search and Filter: Efficiently search and filter memory entries by tags or date.
Memory Management: Archive or clear memory entries based on age or condition.

Quick Start

Execute the command /hyperflow:cache [command] where [command] is one of 'show', 'search', 'add', 'edit', 'prune', 'archive', 'clear', 'stats', 'migrate', 'off', 'compact'.

Frequently Asked Questions about cache

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I manage hyperflow memory entries without altering source code?▼

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.

What is the best way to search and filter memory entries by tags or date?▼

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.

How do I archive or clear old memory entries based on age or condition?▼

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.

Do I need Python to run CRUD operations on hyperflow memory?▼

Yes, you need Python installed because the cache Skill requires Python scripts for execution and utilizes YAML frontmatter for configuration to perform CRUD operations.

Can I view statistics or compact memory entries in hyperflow?▼

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.