soma

Guide data submission, model training, and rewards claiming on the SOMA network.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/soma-org/skills --skill soma
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: soma
Source: https://github.com/soma-org/skills/tree/main/soma
Command: npx skills add https://github.com/soma-org/skills --skill soma

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The SOMA Skill provides a comprehensive guide to participating in the SOMA network, enabling users to understand data submission, model training, on-chain operations, and reward strategies in a single reference.

Core Features & Use Cases

  • Detailed getting started instructions to deploy data submitters on testnet or localnet, including environment setup and credential management.
  • Workflow coverage for Data Submission, Model Training, and Reward Claiming, with strategic guidance on data sourcing, embedding, and processing.
  • Reference patterns, CLI and SDK API details, and architectural context to support implementation and troubleshooting.

Quick Start

Configure your environment and follow the Getting Started steps to deploy a data submission workflow on SOMA testnet.

Frequently Asked Questions about soma

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I participate in the SOMA network for model training and on-chain data submission?

To participate in SOMA network model training, you deploy a data submission workflow on the testnet or localnet by configuring your environment variables and following the end-to-end setup, credential management, and on-chain transaction guidelines.

What is the commit-reveal flow for blockchain AI data submission?

The commit-reveal flow is an on-chain operation pattern required during data submission, where you commit data hashes on-chain and later reveal the actual data, ensuring fair and verifiable model training contributions within the SOMA network.

Do I need any specific dependencies or SDKs to start with SOMA network data submission?

No external dependencies are required to use this Skill, but you need to configure environment variables and manage credentials to interact with the SOMA SDK and execute on-chain transactions for deploying your data submission workflow.

What's the best way to claim rewards for on-chain model training contributions?

Reward claiming follows the model training and data submission workflows, requiring you to complete on-chain transactions and commit-reveal flows to verify your contributions before claiming network rewards through the provided reference patterns and CLI APIs.

Can I run a SOMA data submitter on localnet for testing before using testnet?

Yes, you can deploy data submitters on localnet for testing, as the Skill provides environment setup, CLI and SDK API details, and architectural context to support implementation and troubleshooting across both testnet and localnet configurations.

Why does my SOMA network onboarding require specific environment variables and credential handling?

Environment variables and secure credential handling are enforced during SOMA onboarding to authenticate your data submitters, manage on-chain transactions safely, and ensure proper deployment of commit-reveal flows and embedding strategies.