Individual skill
processing-api-batches
Optimize bulk API requests with batching, throttling, and parallel execution. Use when processing bulk API operations efficiently. Trigger with phrases like "process bulk requests", "batch API calls", or "handle batch operations".
plugins/api-development/api-batch-processor/skills/processing-api-batches/SKILL.md
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- api Declared skill tag
- processing-api Declared skill tag
- operations Derived category
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SKILL.mdcore · 6,057 bytesreferences/errors.mddoc · 1,059 bytesreferences/examples.mddoc · 5,612 bytesreferences/implementation.mddoc · 1,566 bytes
Read excerpt
# Processing API Batches
## Overview
Optimize bulk API operations with batch request endpoints, parallel execution with concurrency control, partial failure handling, and progress tracking. Implement batch processing patterns that accept arrays of operations in a single request, execute them efficiently with database bulk operations, and return per-item results with individual success/failure status.
## Prerequisites
- Web framework capable of handling large request bodies (configure body size limits: 10MB+ for batch payloads)
- Database with bulk operation support (bulk insert, bulk update, transactions)
- Queue system for async batch processing: Bull/BullMQ (Node.js), Celery (Python), or SQS
- Progress tracking store (Redis) for long-running batch status polling
- Rate limiting aware of batch operations (count individual operations, not just requests)
## Instructions