How does the pattern handle corrupted cache files?

It follows a graceful degradation strategy where corrupted or unreadable JSON cache files are treated as a cache miss, triggering a re-process rather than crashing the application.

Why use content hashing instead of file paths for caching?

Content hashing makes the cache immune to file renaming or moving. It ensures a cache hit as long as the file content remains the same, whereas path-based caching fails if a file is moved.

When should I avoid using this cache pattern?

Avoid this pattern for real-time data streams that must always be fresh, or when processing results depend on external variables (like timestamps or user settings) rather than just the file content.

Does this pattern handle large files efficiently?

Yes, the implementation uses chunked reading (64KB blocks) to calculate SHA-256 hashes, preventing memory exhaustion even when processing gigabyte-scale files.

Content-Hash Cache Pattern

Name: Content-Hash Cache Pattern
Author: shihyu

byshihyu

•

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Implements high-performance, path-independent caching using SHA-256 content hashing for expensive file processing tasks.

This skill provides a standardized architectural pattern for caching the results of resource-intensive file operations like PDF parsing, OCR, and image analysis. By using SHA-256 hashes of file contents rather than file paths as cache keys, it ensures that cached results remain valid even when files are moved or renamed, while automatically invalidating entries when content changes. The pattern emphasizes the Single Responsibility Principle by decoupling caching logic from core processing functions through a service-layer wrapper, making it ideal for robust CLI tools and data pipelines.

主な機能

01Service layer separation for clean code architecture

02Chunked file processing for memory efficiency

03SHA-256 content hashing for O(1) lookups

04Automatic cache invalidation on content change

055 GitHub stars

06Path-independent cache persistence

ユースケース

01Speeding up PDF and image processing pipelines

02CLI tools requiring --cache/--no-cache functionality

03Large-scale data extraction workflows with redundant files

主な機能

01Service layer separation for clean code architecture

02Chunked file processing for memory efficiency

03SHA-256 content hashing for O(1) lookups

04Automatic cache invalidation on content change

055 GitHub stars

06Path-independent cache persistence

ユースケース

01Speeding up PDF and image processing pipelines

02CLI tools requiring --cache/--no-cache functionality

03Large-scale data extraction workflows with redundant files