content-hash-cache-pattern

Cache file processing results using SHA-256 content hashes.

1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Michae2xl/claude-skills-michael --skill content-hash-cache-pattern-michae2xl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: content-hash-cache-pattern
Source: https://github.com/Michae2xl/claude-skills-michael/tree/main/skills/content-hash-cache-pattern
Command: npx skills add https://github.com/Michae2xl/claude-skills-michael --skill content-hash-cache-pattern-michae2xl

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of caching expensive file processing results, ensuring efficient handling of repetitive tasks and maintaining cache integrity.

Core Features & Use Cases

  • Content-Hash Based Caching: Utilizes SHA-256 hashes for cache keys, allowing for path-independent caching and automatic invalidation on content changes.
  • Service Layer Wrapper: Implements the Single Responsibility Principle by separating caching logic from processing functions.
  • File-Based Cache Storage: Stores cache entries as JSON files, enabling O(1) lookup and eliminating the need for an index file.

Quick Start

Use the content-hash-cache-pattern skill to cache the processing results of the file 'large-document.pdf'.

Frequently Asked Questions about content-hash-cache-pattern

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

FAQPage Schema
How do I cache file processing results to avoid repeating expensive operations?

You can cache file processing results by generating SHA-256 content hashes to serve as unique cache keys. This approach stores results as JSON files, enabling O(1) lookup and automatically invalidating the cache when file content changes.

How does SHA-256 content hashing handle cache invalidation for moved files?

SHA-256 content hashing enables path-independent caching by using the file's content rather than its file path as the cache key. This means the cache remains valid even if the file is moved, and automatically invalidates when the content changes.

What is the best way to separate caching logic from file parsing and analysis functions?

The best way to separate caching logic is to implement a service layer wrapper. This approach applies the Single Responsibility Principle, isolating the cache management from the core file processing functions.

Do I need an index file to manage a file-based cache for document processing?

No, you do not need an index file when using content-hash based caching. Storing cache entries as individual JSON files with SHA-256 hash keys enables O(1) lookup without requiring a separate index.

Why does my file processing cache return outdated results after moving files?

Outdated results occur when caching relies on file paths instead of content hashes. Using SHA-256 content hashes as cache keys achieves path independence, ensuring the cache retrieves correct results regardless of file location.

Can I use content-hash caching for large document processing tasks?

Yes, content-hash caching is designed for scenarios requiring efficient caching of expensive file processing operations, such as parsing and analyzing large documents, ensuring repetitive tasks are handled efficiently.