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Fix function call sites to pass positional args by position and assign constants to intermediate variables
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Refactor unit test files by aligning strings, renaming methods, and factoring out common test code
Identify and refactor duplicated code blocks into shared functions across Python files
Find documentation files for a given dir, file, class, or function and summarize in 3 bullet points
Replace "from X import Y" style imports with "import X" and update usages throughout a file
Identify functions not called externally and rename them with a leading underscore to make them private
Rename files, functions, and variables across a codebase and update all references
SOC 직업 분류 기준
| name | coding.fix_param_use |
| description | Fix function call sites to pass positional args by position and assign constants to intermediate variables |
I will pass you a file
In that file, make sure that:
For a function with the signature
def apply_llm_prompt_to_df(
prompt: str,
df: pd.DataFrame,
extractor: Callable[[Union[str, pd.Series]], str],
target_col: str,
batch_mode: str,
*,
model: str,
batch_size: int = 50,
dump_every_batch: Optional[str] = None,
tag: str = "Processing",
testing_functor: Optional[Callable[[str], str]] = None,
use_sys_stderr: bool = False,
) -> Tuple[pd.DataFrame, Dict[str, int]]:
Bad
df, stats = hllmcli.apply_llm_prompt_to_df(
prompt=prompt,
df=df,
extractor=extract_person_industry_from_df,
target_col="industry",
batch_mode=batch_mode,
batch_size=batch_size,
model=model,
tag=tag,
)
Good
target_col = "industry"
df, stats = hllmcli.apply_llm_prompt_to_df(
prompt,
df,
extract_person_industry_from_df,
target_col,
batch_mode,
batch_size=batch_size,
model=model,
tag=tag,
)