How does the skill handle network instability?

It provides strategies for chunking files into smaller segments and implements an error classification matrix to handle retriable network errors with exponential backoff.

When should I use this multipart upload skill?

This skill is recommended for any file transfer exceeding 10MB, or situations where you need real-time progress feedback and resumable upload capabilities.

Which programming environments are covered?

The skill provides implementation patterns for Node.js (Axios/Form-Data), modern browsers (Fetch/Web Crypto API), and Python (Requests/Toolbelt).

Does it support data integrity checks?

Yes, it includes detailed resources for calculating SHA-256 or MD5 hashes using stream processing to verify file integrity without loading the entire file into memory.

Robust Multipart Upload

Name: Robust Multipart Upload
Author: daishiman

bydaishiman

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Desarrollo de API

Implements resilient, high-capacity file transfer systems using chunking, progress tracking, and checksum verification.

Acerca de

This skill provides a comprehensive framework for handling large file uploads (10MB+) over HTTP, specifically designed to withstand network instability. It offers specialized guidance on dynamic chunk sizing, real-time progress monitoring, and data integrity via SHA-256 or MD5 checksums. By utilizing the included implementation templates for upload managers and validation scripts, developers can build professional-grade uploaders that support resumable transfers, sophisticated error handling, and optimized memory usage via stream processing.

Características Principales

Real-time progress tracking and ETA calculation patterns
Dynamic chunk size optimization based on network quality
Integrity assurance via SHA-256 and MD5 checksum verification
Resumable transfer logic with exponential backoff retries
Production-ready templates for Node.js, Browser, and Python
1 GitHub stars

Casos de Uso

Building large-scale media upload portals requiring high reliability
Creating resumable data ingestion pipelines for cloud storage services
Implementing file transfers for unstable or low-bandwidth environments

Acerca de

Características Principales

Real-time progress tracking and ETA calculation patterns
Dynamic chunk size optimization based on network quality
Integrity assurance via SHA-256 and MD5 checksum verification
Resumable transfer logic with exponential backoff retries
Production-ready templates for Node.js, Browser, and Python
1 GitHub stars

Casos de Uso

Building large-scale media upload portals requiring high reliability
Creating resumable data ingestion pipelines for cloud storage services
Implementing file transfers for unstable or low-bandwidth environments