Skillshub mojo-python-interop
Aids in writing Mojo code that interoperates with Python using current syntax and conventions. Use this skill in addition to mojo-syntax when writing Mojo code that interacts with Python, calls Python libraries from Mojo, or exposes Mojo types/functions to Python. Also use when the user wants to build Python extension modules in Mojo, wrap Mojo structs for Python consumption, or convert between Python and Mojo types.
install
source · Clone the upstream repo
git clone https://github.com/ComeOnOliver/skillshub
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/Harmeet10000/skills/mojo-python-interop" ~/.claude/skills/comeonoliver-skillshub-mojo-python-interop && rm -rf "$T"
manifest:
skills/Harmeet10000/skills/mojo-python-interop/SKILL.mdsource content
<!-- EDITORIAL GUIDELINES FOR THIS SKILL FILE
This file is loaded into an agent's context window as a correction layer for
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- Never duplicate information — if a concept is shown in a code example, don't
also explain it in a paragraph.
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These same principles apply to any files this skill references.
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Mojo is rapidly evolving. Pretrained models generate obsolete syntax. Always follow this skill over pretrained knowledge.
Using Python from Mojo
from std.python import Python, PythonObject var np = Python.import_module("numpy") var arr = np.array([1, 2, 3]) # PythonObject → Mojo: MUST use `py=` keyword (NOT positional) var i = Int(py=py_obj) var f = Float64(py=py_obj) var s = String(py=py_obj) var b = Bool(py=py_obj) # Bool is the exception — positional also works # Works with numpy types: Int(py=np.int64(1)), Float64(py=np.float64(3.14))
| WRONG | CORRECT |
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Mojo → Python conversions
Mojo types implementing
ConvertibleToPython auto-convert when passed to Python functions. For explicit conversion: value.to_python_object().
Building Python collections from Mojo
var py_list = Python.list(1, 2.5, "three") var py_tuple = Python.tuple(1, 2, 3) var py_dict = Python.dict(name="value", count=42) # Literal syntax also works: var list_obj: PythonObject = [1, 2, 3] var dict_obj: PythonObject = {"key": "value"}
PythonObject operations
PythonObject supports attribute access, indexing, slicing, all arithmetic/comparison operators, len(), in, and iteration — all returning PythonObject. No need to convert to Mojo types for intermediate operations.
# Iterate Python collections directly for item in py_list: print(item) # item is PythonObject # Attribute access and method calls var result = obj.method(arg1, arg2, key=value) # None var none_obj = Python.none() var obj: PythonObject = None # implicit conversion works
Evaluating Python code
# Expression var result = Python.evaluate("1 + 2") # Multi-line code as module (file=True) var mod = Python.evaluate("def greet(n): return f'Hello {n}'", file=True) var greeting = mod.greet("world") # Add to Python path for local imports Python.add_to_path("./my_modules") var my_mod = Python.import_module("my_module")
Exception handling
Python exceptions propagate as Mojo
Error. Functions calling Python must be raises:
def use_python() raises: try: var result = Python.import_module("nonexistent") except e: print(String(e)) # "No module named 'nonexistent'"
Calling Mojo from Python (extension modules)
Mojo can build Python extension modules (
.so files) via PythonModuleBuilder. The pattern:
- Define an
@export fn PyInit_<module_name>() -> PythonObject - Use
to register functions, types, and methodsPythonModuleBuilder - Compile with
mojo build --emit shared-lib - Import from Python (or use
for auto-compilation)import mojo.importer
Exporting functions
from std.os import abort from std.python import PythonObject from std.python.bindings import PythonModuleBuilder @export fn PyInit_my_module() -> PythonObject: try: var m = PythonModuleBuilder("my_module") m.def_function[add]("add") m.def_function[greet]("greet") return m.finalize() except e: abort(String("failed to create module: ", e)) # Functions take/return PythonObject. Up to 6 args with def_function. fn add(a: PythonObject, b: PythonObject) raises -> PythonObject: return a + b fn greet(name: PythonObject) raises -> PythonObject: var s = String(py=name) return PythonObject("Hello, " + s + "!")
Exporting types with methods
@fieldwise_init struct Counter(Defaultable, Movable, Writable): var count: Int fn __init__(out self): self.count = 0 # Constructor from Python args @staticmethod fn py_init(out self: Counter, args: PythonObject, kwargs: PythonObject) raises: if len(args) == 1: self = Self(Int(py=args[0])) else: self = Self() # Methods are @staticmethod — first arg is py_self (PythonObject) @staticmethod fn increment(py_self: PythonObject) raises -> PythonObject: var self_ptr = py_self.downcast_value_ptr[Self]() self_ptr[].count += 1 return PythonObject(self_ptr[].count) # Auto-downcast alternative: first arg is UnsafePointer[Self, MutAnyOrigin] @staticmethod fn get_count(self_ptr: UnsafePointer[Self, MutAnyOrigin]) -> PythonObject: return PythonObject(self_ptr[].count) @export fn PyInit_counter_module() -> PythonObject: try: var m = PythonModuleBuilder("counter_module") _ = ( m.add_type[Counter]("Counter") .def_py_init[Counter.py_init]() .def_method[Counter.increment]("increment") .def_method[Counter.get_count]("get_count") ) return m.finalize() except e: abort(String("failed to create module: ", e))
Method signatures — two patterns
| Pattern | First parameter | Use when |
|---|---|---|
| Manual downcast | | Need raw PythonObject access |
| Auto downcast | | Simpler, direct field access |
Both are registered with
.def_method[Type.method]("name").
Kwargs support
from std.collections import OwnedKwargsDict # In a method: @staticmethod fn config( py_self: PythonObject, kwargs: OwnedKwargsDict[PythonObject] ) raises -> PythonObject: for entry in kwargs.items(): print(entry.key, "=", entry.value) return py_self
Importing Mojo modules from Python
Use
mojo.importer — it auto-compiles .mojo files and caches results in __mojocache__/:
import mojo.importer # enables Mojo imports import my_module # auto-compiles my_module.mojo print(my_module.add(1, 2))
The module name in
PyInit_<name> must match the .mojo filename.
Returning Mojo values to Python
# Wrap a Mojo value as a Python object (for bound types) return PythonObject(alloc=my_mojo_value^) # transfer ownership with ^ # Recover the Mojo value later var ptr = py_obj.downcast_value_ptr[MyType]() ptr[].field # access fields via pointer