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content-hash-cache-pattern

Cache expensive file processing results using SHA-256 content hashes.

Updated Mar 2, 2026
Search Tags:#caching#data integrity#performance optimization#file processing#sha256#content hashing
One-click install
npx skills add https://github.com/unju-ai/ecc --skill content-hash-cache-pattern-unju-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: content-hash-cache-pattern
Source: https://github.com/unju-ai/ecc/tree/main/skills/content-hash-cache-pattern
Command: npx skills add https://github.com/unju-ai/ecc --skill content-hash-cache-pattern-unju-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill caches the results of expensive file processing tasks, like text extraction or image analysis, using content hashes. This ensures that if a file's content hasn't changed, even if its name or location has, the cached result is used, saving computational resources and time.

Core Features & Use Cases

  • Content-Based Caching: Uses SHA-256 hashes of file content as cache keys, making it resilient to file renames or moves.
  • Automatic Invalidation: Cache entries are automatically invalidated when the file content changes.
  • Service Layer Separation: Keeps the core file processing logic pure and separates caching concerns into a distinct service layer.
  • Use Case: When building a pipeline that processes many PDFs, this pattern ensures that if the same PDF is encountered multiple times, its text is extracted only once.

Quick Start

Use the content-hash-cache-pattern skill to extract text from the file located at '/path/to/document.pdf', enabling caching.

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 by generating SHA-256 hashes of file content to use as cache keys. This content-hash caching pattern ensures cache hits even if files are renamed or moved, maintaining data integrity while saving computational resources.

What is content-based caching for file processing pipelines?▼

Content-based caching is a mechanism that uses SHA-256 hashes of file content as cache keys instead of file paths. This approach automatically invalidates cache entries when file content changes, making it ideal for batch processing scenarios and CLI tools with caching options.

How do I automatically invalidate cache entries when a file's content changes?▼

Automatically invalidate cache entries when file content changes by using content-hash-based caching. This pattern computes SHA-256 hashes of file content, so any modification produces a new hash, automatically bypassing stale cache and reprocessing the file.

Can I use content hashing for caching PDF text extraction in batch processing?▼

Yes, you can use content hashing for caching PDF text extraction in batch processing. This pattern stores extracted text using SHA-256 content hashes, ensuring that if the same PDF is encountered multiple times across a pipeline, its text is extracted only once.

Does this caching pattern maintain service layer separation for pure processing functions?▼

Yes, this caching pattern maintains service layer separation by isolating caching concerns into a distinct service layer. This design keeps the core file processing logic pure, ensuring expensive operations like text extraction or image analysis remain decoupled from cache management.

What's the best way to cache expensive file processing operations without stale data?▼

The best way to cache expensive file processing operations without stale data is using a content-hash cache pattern. By keying on SHA-256 file content hashes, it guarantees cache hits for unchanged files regardless of renames, while automatically invalidating modified content.

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