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Kushtrvedi
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vibetrading-code-gen

Generate executable Hyperliquid trading strategy code from natural language prompts.

Updated Mar 3, 2026
Search Tags:#backtesting#code-generation#prompt-engineering#trading-strategies#hyperliquid#vibetrading
One-click install
npx skills add https://github.com/Kushtrvedi/openclaw-standard --skill vibetrading-code-gen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vibetrading-code-gen
Source: https://github.com/Kushtrvedi/openclaw-standard/tree/main/skills/vibetrading
Command: npx skills add https://github.com/Kushtrvedi/openclaw-standard --skill vibetrading-code-gen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, requests, and includes scripts (resource) components.

What problem does it solve?

The Vibetrading code generator eliminates the manual, error-prone process of creating Hyperliquid trading strategies by turning natural-language prompts into ready-to-run Python projects, including code, configurations, and validation tooling.

Core Features & Use Cases

  • Template-driven code generation with integrated error handling and logging
  • Price-aware strategy generation using real Hyperliquid data (when available)
  • Built-in code validation, backtesting, and usage documentation
  • Supports grid trading, RSI-based strategies, and VibeTrading signal integration

Quick Start

Prompt with your trading idea and let the generator output a ready-to-run Hyperliquid strategy project.

Frequently Asked Questions about vibetrading-code-gen

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

FAQPage Schema
How do I generate Hyperliquid trading strategies from natural language prompts?▼

To generate Hyperliquid trading strategies from natural language prompts, provide your trading idea to the generator to output a ready-to-run Python project with API wrappers, configurations, and validation tooling.

Can I backtest trading strategies using the generated Hyperliquid Python code?▼

Yes, you can backtest trading strategies using the generated code, as the output project includes built-in validation and backtesting tooling to evaluate strategy performance before live execution.

What types of trading strategies can I auto-generate for the Hyperliquid API?▼

You can auto-generate grid trading strategies, RSI-based strategies, and VibeTrading signal integrations for the Hyperliquid API using template-driven code generation with integrated error handling.

Does the generated Python code include configuration and usage instructions?▼

Yes, the generated Python code includes configuration files and usage documentation, providing a complete project structure with integrated logging to ensure immediate deployability.

Do I need Python 3.6 or higher to run the generated Hyperliquid strategy code?▼

Yes, you need Python 3.6 or higher to run the generated Hyperliquid strategy code, along with dependencies including pandas, numpy, and requests for data handling and API connectivity.

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