{"slug":"jayrha-pandas-data-cleaning","source_name":"jayrha/pandas-data-cleaning","name":"Jayrha/Pandas Data Cleaning","description":"Cleans messy tabular datasets in pandas end-to-end — fixing dtypes, parsing dates and numbers, standardizing text, handling missing values, removing duplicates, detecting and treating outliers, and reshaping wide/long into tidy data. Use this skill when the user asks to \"clean this CSV/Excel/dataframe\", \"fix data types\", \"handle missing values / NaNs\", \"remove duplicates\", \"deal with outliers\", \"standardize column names or categories\", \"parse dates\", \"melt/pivot/reshape\", or to build a reproduci","version":1,"lift":{"pass_rate_delta_pts":0,"pass_rate_pct":82.6,"total_cases":23,"passed_cases":19,"tokens_delta_pct":60.8,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-03T11:55:35.110510+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":0,"with_pass_pct":82.6,"without_pass_pct":82.6,"tokens_delta_pct":60.8,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":23,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-03T11:55:35.110510+00:00","run_id":"d6deeb04-d800-4349-9e61-f6d5c3b84f91","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"78283c6ac56f77e86a53a12474181b2efba618427ef6c8cff76b3a453fcd8b67","raw_url":"https://app.decimal.ai/s/jayrha-pandas-data-cleaning/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/jayrha-pandas-data-cleaning"}