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.