qc-backtest-runner

vinamra2013/ai_trading_backtesting

Automate QuantConnect cloud backtesting workflow with GitHub integration. Push strategies to QuantConnect cloud, execute backtests, wait for completion, and retrieve performance metrics. This skill should be used when running backtests on QuantConnect cloud or testing trading strategies.

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/vinamra2013/ai_trading_backtesting/tree/main/.claude/skills/qc-backtest-runner

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/vinamra2013/ai_trading_backtesting/tree/main/.claude/skills/qc-backtest-runner ~/.claude/skills/ai_trading_backtesting

# Project-specific

git clone https://github.com/vinamra2013/ai_trading_backtesting/tree/main/.claude/skills/qc-backtest-runner .claude/skills/ai_trading_backtesting

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/vinamra2013/ai_trading_backtesting/tree/main/.claude/skills/qc-backtest-runner"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/vinamra2013/ai_trading_backtesting/tree/main/.claude/skills/qc-backtest-runner

Option 2: Clone to extensions directory

git clone https://github.com/vinamra2013/ai_trading_backtesting/tree/main/.claude/skills/qc-backtest-runner ~/.gemini/extensions/ai_trading_backtesting

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