robonet-workbench

Builds, backtests, optimizes, and deploys trading strategies via Robonet MCP tools.

1|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/robonet-tech/skills --skill robonet-workbench
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: robonet-workbench
Source: https://github.com/robonet-tech/skills/tree/main/skills/robonet-workbench
Command: npx skills add https://github.com/robonet-tech/skills --skill robonet-workbench

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides an end-to-end Robonet MCP workflow for building, backtesting, optimizing, and deploying trading strategies, coordinating data access, AI-driven code generation, backtesting, prediction markets, deployment, and account management.

Core Features & Use Cases

  • Integrated MCP tools: Access 24 Robonet MCP tools across data, AI generation, backtesting, prediction markets, deployment, and credits management.
  • End-to-end strategy lifecycle: From idea generation to live deployment, including backtests and ML-enhanced signals.
  • Use Case: A quant developer wants to quickly generate a new strategy, backtest it across multiple periods, optimize parameters, and deploy on Hyperliquid with automated credit checks.

Quick Start

Use the robonet-workbench skill to explore available symbols, generate a strategy, run backtests, and prepare deployment.

Frequently Asked Questions about robonet-workbench

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

FAQPage Schema
How do I backtest and deploy a trading strategy using MCP tools?

To backtest and deploy trading strategies using MCP tools, you can use an integrated workflow that coordinates data access, AI-driven code generation, backtesting, prediction markets, and account management. It connects 24 tools for strategy lifecycle automation.

Can I use AI to generate trading strategies and run backtests across multiple periods?

Yes, AI-driven strategy generation and backtesting across multiple periods are supported. The workflow allows you to generate strategy code, run historical simulations, optimize parameters, and enhance signals with ML before deployment.

What's the best way to manage prediction market strategies and automated credit checks?

Managing prediction market strategies and automated credit checks is handled through integrated deployment and account management tools. The workflow enforces tool usage structure and safety constraints while loading operational instructions for automated credit validation.

Does the Robonet workbench support end-to-end strategy lifecycle automation?

Yes, the Robonet workbench supports end-to-end strategy lifecycle automation. It covers everything from idea generation and data access to backtesting, ML-enhanced signals, prediction markets, and live deployment.

Are there safety constraints enforced when deploying strategies to live markets?

Safety constraints are enforced when deploying strategies to live markets. The workflow enforces tool usage structure and loads operational instructions to ensure automated credit checks and safe deployment protocols are followed.