robot_sf_ll7

ll7/robot_sf_ll7

Gymnasium-based social navigation simulation and benchmarking for a robot moving through pedestrian-filled environments.

5 stars

3 forks

Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/ll7/robot_sf_ll7

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/ll7/robot_sf_ll7 ~/.claude/skills/robot_sf_ll7

# Project-specific

git clone https://github.com/ll7/robot_sf_ll7 .claude/skills/robot_sf_ll7

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/ll7/robot_sf_ll7"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/ll7/robot_sf_ll7

Option 2: Clone to extensions directory

git clone https://github.com/ll7/robot_sf_ll7 ~/.gemini/extensions/robot_sf_ll7

Topics

local-planner micromobility navigation pedestrian-behavior reinforcement-learning reinforcement-learning-environments simulation

Related Skills

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

skill-writer

Tensors and Dynamic neural networks in Python with strong GPU acceleration