content-hash-cache-pattern

Cache file processing results using SHA-256 content-hash keys.

2|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/multiplex-ai/muggle-ai-teams --skill content-hash-cache-pattern-multiplex-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: content-hash-cache-pattern
Source: https://github.com/multiplex-ai/muggle-ai-teams/tree/main/skills/content-hash-cache-pattern
Command: npx skills add https://github.com/multiplex-ai/muggle-ai-teams --skill content-hash-cache-pattern-multiplex-ai

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. Unlike path-based caching, this approach survives file moves/renames and auto-invalidates when content changes.

Core Features & Use Cases

  • Content-hash Based Cache Key: Use file content as the cache key to enable automatic invalidation on content changes.
  • Cold/Warm Cache Storage: Store entries as {hash}.json for O(1) lookups with no index.
  • Service Layer Wrapper: Keep core processing pure and apply caching as a separate layer.

Quick Start

Enable content-hash caching for a file and retrieve results with a single invocation.

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 they survive renames and moves?

Use SHA-256 content hashes as cache keys instead of file paths to cache file processing results. This content-hash approach automatically invalidates when content changes and survives file moves or renames.

What's the best way to avoid recomputing PDF parsing results across pipeline runs?

Cache PDF parsing results using SHA-256 content hashes as cache keys. This avoids recomputation by storing JSON-based cache entries that automatically validate file content identity across repeated pipeline runs.

How does content-hash caching work for file processing pipelines?

Content-hash caching computes a SHA-256 hash of file content as the cache key and stores results as {hash}.json files. This enables O(1) lookups without an index and auto-invalidates when file content changes.

Can I add caching to my file processing functions without modifying their core logic?

Yes, use a service layer wrapper to apply content-hash caching separately. This keeps core file processing functions pure while adding caching as an external layer, preserving original processing logic.

Does content-hash caching work for images and text files in addition to PDFs?

Yes, content-hash caching works for PDFs, images, and text files. The SHA-256 content hash keys treat all file types identically, caching expensive processing results regardless of file format.

When should I not use content-hash based caching for file processing?

Avoid content-hash caching when files change constantly or processing is inexpensive, since SHA-256 hashing adds overhead. It is best suited for pipelines that repeatedly process the same files where content identity matters.