affaan-m avatar

Content Hash Cache Pattern

Caches expensive file operations like PDF parsing or image analysis by hashing file content with SHA-256 instead of tracking paths. The smart bit is that renamed files still hit the cache, and edited files automatically invalidate. It wraps your processing functions in a service layer so they stay pure and cache-unaware, stores results as individual JSON files keyed by hash, and handles the typical edge cases like corruption and missing directories. Works well for CLI tools that reprocess the same files across runs. Skip it if you need parameters beyond file content to determine the result, or if your cache entries would be massive.

skills.sh installs
5.4K
GitHub stars
300.3K
last updated
Aug 21, 2026

Install

$ npx -y skills add affaan-m/ecc --skill content-hash-cache-pattern --agent claude-code

Installs into .claude/skills of the current project.

Files

Content-Hash File Cache Pattern

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.

When to Activate

  • Building file processing pipelines (PDF, images, text extraction)
  • Processing cost is high and same files are processed repeatedly
  • Need a --cache/--no-cache CLI option
  • Want to add caching to existing pure functions without modifying them

Core Pattern

1. Content-Hash Based Cache Key

Use file content (not path) as the cache key:

import hashlib
from pathlib import Path

_HASH_CHUNK_SIZE = 65536  # 64KB chunks for large files

def compute_file_hash(path: Path) -> str:
    """SHA-256 of file contents (chunked for large files)."""
    if not path.is_file():
        raise FileNotFoundError(f"File not found: {path}")
    sha256 = hashlib.sha256()
    with open(path, "rb") as f:
        while True:
            chunk = f.read(_HASH_CHUNK_SIZE)
            if not chunk:
                break
            sha256.update(chunk)
    return sha256.hexdigest()

Sponsors

Details

Repository
github.com/affaan-m/ecc
First seen
Jul 14, 2026

More from affaan-m/ecc

All 263

Recommended

1juliusbrussee avatarcavemanjuliusbrussee/cavemanUltra-compressed communication mode. Cuts output tokens 65% (measured) by speaking like caveman while keeping full technical accuracy. Supports intensity levels618.3Kskills.sh installs
2mattpocock avatargrill-memattpocock/skillsA relentless interview to sharpen a plan or design.1.5Mskills.sh installs
3shadcn avatarimproveshadcn/improveSurvey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute. Strictly read-only on s40Kskills.sh installs
4obra avatarsystematic-debuggingobra/superpowersUse when encountering any bug, test failure, or unexpected behavior, before proposing fixes326.7Kskills.sh installs
5forrestchang avatarkarpathy-guidelinesforrestchang/andrej-karpathy-skillsBehavioral guidelines to reduce common LLM coding mistakes through explicit assumptions, simplicity, and verifiable success criteria.17.9Kskills.sh installs
6vercel-labs avatarfind-skillsvercel-labs/skillsHelps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express int4.3Mskills.sh installs