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content-hash-cache-pattern

Cache file processing results using SHA-256 content hashes.

Updated Mar 21, 2026
Search Tags:#python#cache#hashing#data-persistence#file-processing#content-hash#cache-pattern
One-click install
npx skills add https://github.com/hieuck/Pro5ChromeManager --skill content-hash-cache-pattern-hieuck
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: content-hash-cache-pattern
Source: https://github.com/hieuck/Pro5ChromeManager/tree/main/skills/content-hash-cache-pattern
Command: npx skills add https://github.com/hieuck/Pro5ChromeManager --skill content-hash-cache-pattern-hieuck

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cache expensive file processing results using SHA-256 content hashes as cache keys. Unlike path-based caching, this approach survives file moves/renames and auto-invalidates when content changes.

Core Features & Use Cases

  • Use content-based cache keys to ensure cache hits even after renames or moves.
  • Improve performance for pipelines involving PDF parsing, image analysis, or text extraction.
  • Enable optional CLI flag like --cache/--no-cache to control caching behavior.
  • Use-case: when processing large datasets of the same files across runs, cache reduces recomputation.

Quick Start

Run a sample file through the processing pipeline with caching enabled to observe a cache hit on subsequent runs.

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 survive renames and moves?▼

Cache file processing results using SHA-256 content hashing to generate cache keys. This content-hash cache approach ensures cache hits even after files are renamed or moved, unlike path-based caching.

What is the best way to cache expensive PDF parsing and image analysis results in Python?▼

The best way to cache expensive PDF parsing or image analysis is using a content-hash cache. It stores entries as {hash}.json files and auto-invalidates when file content changes, preventing recomputation across repeated runs.

How does content hashing for file caching work?▼

Content hashing for file caching works by calculating a SHA-256 hash of the file content to use as the cache key. The service-layer wrapper reads and writes cache entries as {hash}.json, ensuring the cache auto-invalidates if the content changes.

Can I toggle caching behavior for a file processing pipeline?▼

Yes, you can toggle caching behavior. The content-hash cache pattern enables an optional CLI flag like --cache or --no-cache to control whether the pipeline reads and writes cache entries during file processing.

When should I not use path-based caching for file processing?▼

You should not use path-based caching when your files might be moved or renamed. A content-hash cache is required instead, as it generates keys from the file's SHA-256 content hash rather than its file path.

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