Does this skill work with existing functions?

Yes, it is designed as a service layer wrapper. You can wrap your existing 'pure' functions with this caching logic without needing to modify the original code.

How are the cache files stored?

Cache entries are stored as individual JSON files named after their SHA-256 hash. This allows for O(1) lookups and eliminates the need for a central index file that could become corrupted.

Is this pattern safe for large files?

Yes. The implementation uses a chunked reading approach (typically 64KB blocks) to compute the SHA-256 hash, ensuring large files are processed without loading the entire content into memory.

Why use content hashes instead of file paths for caching?

Content hashing allows the cache to remain valid even if a file is moved or renamed. It also ensures the cache automatically invalidates the moment the file's content changes, preventing stale data.

Content-Hash Cache Pattern

Name: Content-Hash Cache Pattern
Author: unju-ai

byunju-ai

0•

开发者工具

Caches expensive file processing results using SHA-256 content hashes to ensure path-independent data retrieval and automatic invalidation.

The Content-Hash Cache Pattern is a specialized architectural skill designed to optimize computationally expensive file operations such as PDF parsing, OCR, and image analysis. By using SHA-256 content hashes as cache keys rather than file paths, the pattern ensures that moved or renamed files still result in cache hits, while any modification to the file content triggers an immediate and automatic invalidation. This approach promotes clean code through service layer separation, allowing developers to add robust caching to existing pure functions without modifying their core logic, resulting in faster execution and lower processing costs.

主要功能

01O(1) lookup performance using hash-based JSON storage

02Memory-efficient chunked hashing for large file processing

03Service layer separation to maintain Single Responsibility Principle

04Automatic cache invalidation triggered by file content changes

050 GitHub stars

06Path-independent caching using SHA-256 content signatures

使用场景

01Building high-performance PDF or image processing pipelines

02Adding efficient --cache flags to developer CLI tools and automation scripts

03Reducing API latency and costs in LLM-based text extraction tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add unju-ai/ecc content-hash-cache-pattern

For use in Claude.ai and ChatGPT

主要功能

01O(1) lookup performance using hash-based JSON storage

02Memory-efficient chunked hashing for large file processing

03Service layer separation to maintain Single Responsibility Principle

04Automatic cache invalidation triggered by file content changes

050 GitHub stars

06Path-independent caching using SHA-256 content signatures

使用场景

01Building high-performance PDF or image processing pipelines

02Adding efficient --cache flags to developer CLI tools and automation scripts

03Reducing API latency and costs in LLM-based text extraction tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add unju-ai/ecc content-hash-cache-pattern

For use in Claude.ai and ChatGPT