A step-by-step method for turning a raw table into a model-ready one: remove duplicates, fix types, standardise categories, handle missing values and outliers, and learn every cleaning statistic from the training split only.
Advertising pauses before you enter or manage personal content.
How to use it
Use it when your AI tool prepares a dataset for a machine-learning model. It proposes a strategy for each column, shows short Python examples with pandas and scikit-learn, and ends with a written list of every cleaning decision. Read the generated code before you run it on real data.
The instructions themselves are not copied here. They stay in the author’s repository at the version below, so open them there and follow the author’s own steps.
Read files in your project or the files you point it to
Create or edit files
Run commands on your computer
This is what the instructions ask for, not something LuluSkill does. In a chat window nothing runs; in an AI tool that can work with your files, what actually happens depends on that tool and its permission settings.
Source, licence and checks
Written for (as the author states)Codex, Claude Code, Cursor, OpenCode
Checked as a prompt forCodex, Claude. The instructions can be given to these tools as a prompt; LuluSkill did not run them.
Licence and authorMIT licence, by param087 on GitHub. If you copy or share the instructions, keep the author’s copyright notice and the licence text with them.
Pinned versionThis page describes commit 576ed92fcd2e of skills/data-cleaning/SKILL.md. A newer version in the author’s repository is not covered until it is reviewed again.
Automated scanPassed (lowest risk), on Sep 24, 2026: 2 files checked, 0 findings. The scan looks for patterns such as shell commands, web requests, credential access and instruction overrides. It does not run the Skill and is not a full security audit.
ReviewRecorded on Sep 24, 2026 by LuluSkill’s AI project supervisor on the owner’s behalf. It checked the source, the licence file, the scan result and this description. It is not a human review and not a legal opinion.
Advertising pauses before you enter or manage personal content.
Community notes
0
Sign in to add a note.
No notes yet. Be the first to add one.
Report a problem or request removal
Rights holders and users can report licence, attribution, security or accuracy problems with this page. We respond within 48 hours and record every request in our review log.
Community notes
Sign in to add a note.
No notes yet. Be the first to add one.