Is this pattern safe for very large files?

Yes. The implementation uses a chunked reading approach (64KB blocks) to compute the hash, which prevents loading the entire file into memory and maintains a low memory footprint.

How does the cache handle corrupted files?

The pattern is designed to treat JSON decoding errors or missing keys as a cache miss. It gracefully falls back to re-processing the file rather than crashing the application.

When should I avoid using this caching pattern?

Avoid it for real-time data streams that must always be fresh, or when the processing output depends on external parameters (like different extraction settings) rather than just the file content itself.

Why use content hashing instead of file paths for caching?

File paths are brittle; moving or renaming a file breaks path-based caches. Content hashing (SHA-256) identifies the file by its data, ensuring the cache remains valid regardless of the file's location or name.

Content Hash Cache Pattern

Name: Content Hash Cache Pattern
Author: saar120

bysaar120

0•

Developer Tools

Optimizes expensive file processing tasks by implementing SHA-256 content-based caching that remains valid across file moves and renames.

The Content Hash Cache Pattern is a specialized Claude Code skill designed to optimize computationally intensive file operations like PDF parsing, OCR, and image analysis. By using SHA-256 content hashing instead of file paths, it ensures that your processing results remain cached even if files are renamed or moved, while providing automatic invalidation the moment a file's content changes. This skill emphasizes clean architecture by providing a service-layer wrapper that keeps your core processing logic pure and decoupled from caching mechanics.

Key Features

01SHA-256 content-based caching for path-independent result lookups

02Service-layer implementation following the Single Responsibility Principle

030 GitHub stars

04Automatic cache invalidation triggered by any file content modification

05O(1) lookup performance using hash-named JSON storage

06Memory-efficient chunked hashing for processing large files

Use Cases

01Accelerating PDF and image processing pipelines (OCR, extraction)

02Optimizing batch processing where identical files exist in multiple directories

03Implementing persistent --cache flags for command-line utilities

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add saar120/skillgate-registry content-hash-cache-pattern

For use in Claude.ai and ChatGPT

Key Features

01SHA-256 content-based caching for path-independent result lookups

02Service-layer implementation following the Single Responsibility Principle

030 GitHub stars

04Automatic cache invalidation triggered by any file content modification

05O(1) lookup performance using hash-named JSON storage

06Memory-efficient chunked hashing for processing large files

Use Cases

01Accelerating PDF and image processing pipelines (OCR, extraction)

02Optimizing batch processing where identical files exist in multiple directories

03Implementing persistent --cache flags for command-line utilities

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add saar120/skillgate-registry content-hash-cache-pattern

For use in Claude.ai and ChatGPT