paper-to-code

aryateja2106/nested-learning

Implement AI/ML research papers from scratch when no official code exists. Use when the user wants to reproduce a paper, implement an algorithm from a PDF, build a model architecture from a research paper, or create working code from academic publications. Handles papers from arXiv, NeurIPS, ICML, ICLR, CVPR, and other venues. Produces UV-managed, GPU-ready Python projects with tests, demos, and documentation.

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/aryateja2106/nested-learning/tree/main/.claude/skills/paper-to-code

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/aryateja2106/nested-learning/tree/main/.claude/skills/paper-to-code ~/.claude/skills/nested-learning

# Project-specific

git clone https://github.com/aryateja2106/nested-learning/tree/main/.claude/skills/paper-to-code .claude/skills/nested-learning

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/aryateja2106/nested-learning/tree/main/.claude/skills/paper-to-code"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/aryateja2106/nested-learning/tree/main/.claude/skills/paper-to-code

Option 2: Clone to extensions directory

git clone https://github.com/aryateja2106/nested-learning/tree/main/.claude/skills/paper-to-code ~/.gemini/extensions/nested-learning