data-cleaning
Skill6 starsChanged 39 days agoMITView on GitHub
Inspect schema, missingness, duplicates, types, ranges, categorical values, and suspicious records before changing data. Define transformations explicitly, preserve raw data, and validate row counts and key constraints after each major operation. Do not silently drop records or fabricate missing values.
8 other projects use a version of this.
Adopted by
Most recently taken up by
- SSameer20/data-analyst-toolkittheir own version, first seen Nov 8, 2026
- genspark-ai/genofficetheir own version, first seen Oct 25, 2026
- kiko197/ai-agent-skillstheir own version, first seen Aug 11, 2026
- magnus919/agent-skillstheir own version, first seen Jul 21, 2026
- qunyou-agent/finance-skillstheir own version, first seen Jul 6, 2026
- minagayid/Agentstheir own version, first seen Jul 5, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- genspark-ai/genoffice★ 12ksame name
- magnus919/agent-skills★ 172same name
- claude-office-skills/claude-office-plugin★ 9same name
- qunyou-agent/finance-skills★ 4same name
- SSameer20/data-analyst-toolkit★ 4same name
- minagayid/Agents★ 1same name
- adelcreative030-debug/Agent-Skills★ 0same name
- kiko197/ai-agent-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository36 other files it gives its agents.
- bioinformatics-planningSkill
- biology-literature-analysisSkill
- biology-paper-analysisSkill
- chemistry-research-analysisSkill
- skill-authorSkill
- codebase-explorerSkill
- codebase-understandingSkill
- code-reviewSkill
- debug-systematicallySkill
- implementation-plannerSkill
- implementation-reviewSkill
- ledger-tasks-yyloSkill
- test-and-verifySkill
- algorithm-learningSkill
- system-design-basicsSkill
- defensive-security-reviewSkill
- threat-modelingSkill
- data-analysisSkill
- tutorSkill
- experiment-analysisSkill
- model-evaluationSkill
- numerical-methodsSkill
- mathematics-problem-solverSkill
- proof-solvingSkill
- physics-research-analysisSkill
- data-visualizationSkill
- evidence-checkerSkill
- evidence-comparisonSkill
- experimental-planningSkill
- literature-synthesizerSkill
- reproducibility-auditSkill
- research-questionSkill
- source-verificationSkill
- api-designSkill
- frontend-planningSkill
- technical-editorSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Do not silently drop records or fabricate missing values.
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Python Data Cleaning
Inspect schema, missingness, duplicates, types, ranges, categorical values, and suspicious records before changing data. Define transformations explicitly, preserve raw data, and validate row counts and key constraints after each major operation.
Do not silently drop records or fabricate missing values.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.