# Helixdevelopment Helixagent Klingai Batch Processing

> Klingai Batch Processing

- Skill: `tomevault-io/helixdevelopment-helixagent-klingai-batch-processing` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/helixdevelopment-helixagent-klingai-batch-processing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/helixdevelopment-helixagent-klingai-batch-processing/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/helixdevelopment-helixagent-klingai-batch-processing

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# Klingai Batch Processing

## Overview

This skill teaches efficient batch processing patterns for generating multiple videos, including parallel submission, progress tracking, rate limit management, and result collection.

## Prerequisites

- Kling AI API key with sufficient credits
- Python 3.8+ with asyncio support
- Understanding of async/await patterns

## Instructions

Follow these steps for batch processing:

1. **Prepare Batch**: Collect all prompts and parameters
2. **Rate Limit Planning**: Calculate submission pace
3. **Parallel Submission**: Submit jobs within limits
4. **Track Progress**: Monitor all jobs simultaneously
5. **Collect Results**: Gather outputs and handle failures

## Output

Successful execution produces:
- Parallel job submission within rate limits
- Real-time progress tracking
- Collected results with success/failure status
- Performance metrics (duration, throughput)

## Error Handling

See `{baseDir}/references/errors.md` for comprehensive error handling.

## Examples

See `{baseDir}/references/examples.md` for detailed examples.

## Resources

- [Kling AI Batch API](https://docs.klingai.com/batch)
- [Python asyncio](https://docs.python.org/3/library/asyncio.html)
- [aiohttp Documentation](https://docs.aiohttp.org/)

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