content-hash-cache-pattern

Cache file processing results using SHA-256 content hashes as keys.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/Clean1ines/crm_bot --skill content-hash-cache-pattern-clean1ines
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: content-hash-cache-pattern
Source: https://github.com/Clean1ines/crm_bot/tree/main/.agents/skills/ecc/content-hash-cache-pattern
Command: npx skills add https://github.com/Clean1ines/crm_bot --skill content-hash-cache-pattern-clean1ines

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cache expensive file processing results (PDF parsing, text extraction, image analysis) using SHA-256 content hashes as cache keys. Path independence ensures renames/moves keep cache hits, and automatic invalidation occurs when content changes.

Core Features & Use Cases

  • Content-hash based cache key
  • File-based cache storage as {hash}.json
  • Service layer wrapper that keeps processing pure

Quick Start

Run the content-hash cache pattern on a file-processing step to enable content-hash caching for repeated extractions.

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 expensive file processing results in Python to avoid repeated extraction?

Content-hash caching for file processing uses SHA-256 hashes as cache keys instead of file paths. This ensures renames or moves keep cache hits valid, and automatic invalidation occurs when the file content actually changes.

What is the best way to invalidate a file processing cache when content changes?

A content-hash cache pattern invalidates automatically when file content changes because the SHA-256 hash updates. This prevents stale cache hits during PDF parsing, text extraction, and image analysis pipelines.

Can I keep my file processing logic pure while adding a caching layer?

Yes, a service layer wrapper can add content-hash caching around pure file processing functions. This architectural pattern isolates the caching logic, keeping the core PDF parsing or text extraction operations pure and testable.

Does content-hash caching work for PDF parsing and image analysis pipelines?

Yes, content-hash caching is designed for file-processing pipelines involving PDF parsing, text extraction, and image analysis. It applies SHA-256 content hashing to skip repeated processing of identical files across different paths.

Why does my file processing cache miss when I rename or move files?

File processing caches miss on rename or move because they often rely on file paths. Using a content-hash cache pattern based on SHA-256 ensures path independence, maintaining cache hits even after files are moved or renamed.