# semantic-kernel/python/semantic_kernel/skill_definition/sk_function_decorator.py
def sk_function(
    *,
    description: str = "",
    name: str = None,
    input_description: str = None,
    input_default_value: str = None
):
    def decorator(func):
        func.__sk_function__ = True
        func.__sk_function_description__ = description
        func.__sk_function_name__ = name if name else func.__name__
        func.__sk_function_input_description__ = input_description
        func.__sk_function_input_default_value__ = input_default_value

# /Users/joowonkim/Repo/semantic-kernel-jw/semantic-kernel/python/semantic_kernel/orchestration/sk_function.py
class SKFunction(SKFunctionBase):
    @staticmethod
    def from_native_method(method, skill_name="", log=None) -> "SKFunction":

        ...

        if hasattr(method, "__sk_function_input_description__"):
            input_param = ParameterView(
                "input",
                method.__sk_function_input_description__,
                method.__sk_function_input_default_value__,
            )
            parameters = [input_param] + parameters

from semantic_kernel import Kernel, SKContext
from semantic_kernel.skill_definition import sk_function, sk_function_context_parameter


class TestSkill:
    @sk_function(
        description="Test skill",
        name="testSkill",
    )
    @sk_function_context_parameter(
        name="testParam",
        description="Test parameter",
    )
    def test(self, context: SKContext):
        pass


k = Kernel()
skill = k.import_skill(TestSkill(), "TestSkill")

for param in skill['testSkill'].parameters:
    print(f"{param.name}: {param.description}")

# Result:
# input: None
# testParam: Test parameter

# Result:
# testParam: Test parameter