SKILL.md — Python to Go Converter

Overview

This skill automatically converts Python source code to idiomatic, compilable Go code. It handles type mappings, import translations, and produces clean Go output suitable for performance-critical applications.

Capabilities

• Convert Python source files to Go with preserved functionality
• Intelligent Python-to-Go type mapping (int, str, list, dict, classes, etc.)
• Translate common Python standard library imports to Go equivalents
• Generate properly formatted Go code with comments
• Provide detailed error diagnostics for unsupported Python features
• CLI interface for batch conversion and agent integration
• Support for functions, classes, control flow, and basic data structures

Installation

The skill is installed as part of an OpenClaw skill package. Ensure dependencies are met (Python 3.8+, go compiler in PATH).

Usage

CLI Invocation

python-to-go-converter convert <input.py> [--output <output.go>]

Agent Integration

The skill exposes a single-turn execution model. Provide Python code as input, receive Go code as output.

Examples

# Convert a single file
python-to-go-converter convert examples/basic.py --output output.go

# Convert with diagnostics
python-to-go-converter convert myscript.py --verbose

Error Handling

The converter produces non-zero exit codes on failure and writes diagnostics to stderr. Common errors include:

• Unsupported Python syntax (decorators, metaclasses, async generators)
• Library dependencies without Go equivalents
• Type inference failures

Files

• scripts/converter.py — Main CLI and conversion orchestration
• scripts/ast_parser.py — Python AST parsing and analysis
• scripts/go_generator.py — Go code emission and formatting
• scripts/type_mapper.py — Type system translation rules
• scripts/import_handler.py — Import resolution and library mapping
• references/python_to_go_mappings.json — Feature mapping table
• references/stdlib_equivalents.json — Standard library translations
• references/error_codes.json — Error code definitions
• examples/ — Example conversions and test cases
• tests/ — Unit tests and validation suite

Limitations

• Does not convert GUI frameworks (Tkinter, PyQt)
• No support for dynamic metaprogramming (eval, exec, setattr magic)
• Machine learning libraries (NumPy, TensorFlow) require manual rewrite
• Perfect 1:1 runtime behavior is not guaranteed; testing required

Performance

Typical conversion times: small scripts (<100 LOC) < 1s; medium (500 LOC) ~2-3s; large codebases scale linearly. Conversion is CPU-bound on Python parsing and AST traversal.

Support

For issues, feature requests, or contributions, refer to the skill repository.