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content-hash-cache-pattern

Cache file processing results using SHA-256 content hashes.

Updated May 1, 2026
Search Tags:#caching#service-layer#data-serialization#file-processing#content-hash#cache-key
One-click install
npx skills add https://github.com/oguzhanguvenkaya/oguzhan_claude_code_configurations --skill content-hash-cache-pattern-oguzhanguvenkaya
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: content-hash-cache-pattern
Source: https://github.com/oguzhanguvenkaya/oguzhan_claude_code_configurations/tree/main/skills/content-hash-cache-pattern
Command: npx skills add https://github.com/oguzhanguvenkaya/oguzhan_claude_code_configurations --skill content-hash-cache-pattern-oguzhanguvenkaya

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cache expensive file processing results using SHA-256 content hashes as cache keys. This approach makes caching path-independent, automatically invalidates on content changes, and remains robust to file moves or renames, enabling faster repeat processing in pipelines.

Core Features & Use Cases

  • Content-hash based cache key: use file content to generate a stable key that survives renames and moves.
  • Frozen dataclass for cache entry: a compact, immutable structure describing the cache entry.
  • File-based cache storage: stores each entry as a {hash}.json for O(1) lookup and easy maintenance.
  • Service layer wrapper: separates caching from the pure processing function to preserve SRP and testability.

Quick Start

Invoke the cache wrapper with a file path to automatically reuse cached results or reprocess when the content changes.

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 so I don't reparse identical PDFs or images?▼

Cache file processing results by generating SHA-256 content hashes of your files to use as cache keys. This avoids reprocessing identical content in repeated pipeline runs by checking the hash against existing cached outputs.

What is the best way to invalidate file-based caches when documents are renamed or moved?▼

Using content-hash based cache keys invalidates caches automatically on content changes and makes caching path-independent. This approach remains robust to file moves or renames because the key relies solely on file content.

How do I structure a service layer to keep file processing functions pure and testable?▼

Structure a service layer wrapper to separate caching logic from the core processing function. This preserves the single responsibility principle and maintains testability by keeping the underlying processing functions pure.

Does content-hash caching work with large documents that rarely change but require repeated processing runs?▼

Content-hash caching works effectively for large documents that rarely change but require repeated processing runs. It supports a --cache/--no-cache option to dynamically toggle caching behavior during pipeline execution.

How does file-based JSON cache storage handle lookup and maintenance for cached entries?▼

File-based JSON cache storage handles lookup and maintenance by saving each entry as a {hash}.json file. This structure enables O(1) lookup performance and simplifies cache maintenance for processed file outputs.

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