Compute + Storage Integration

What problem does it solve?

This skill bridges 0G Compute inference with decentralized storage so AI outputs remain auditable, retrievable, and ready for downstream automation instead of fading into temporary responses.

Core Features & Use Cases

• Start-to-finish pipelines: run an inference request, call processResponse, upload results to 0G Storage, and record the resulting Merkle root for later reference.
• Hybrid retrieval flows: download stored audio, text, or images, feed them back into compute for transcription, chat analysis, or further image generation, and ensure cleanup of temp files.
• Use Case: A creator generates an AI image, uploads it to storage, registers the root hash on-chain, and later asks the agent to analyze that stored artifact for compliance.

Quick Start

Use the compute-plus-storage skill to run an AI inference, upload the resulting payload to 0G Storage, and return the storage root hash so it can be referenced downstream.