القائمة
Clean messy datasets — handle missing values, fix dtypes, remove duplicates, normalize formats, and flag anomalies.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Design and analyze A/B tests — sample sizes, significance testing, multiple comparisons, and results interpretation.
Audit and fix accessibility issues — WCAG 2.2 compliance, ARIA labels, color contrast, keyboard navigation, and screen-reader compatibility.
Track and manage action items — owners, deadlines, status updates, and escalation workflows.
Design alert configurations — thresholds, severity levels, routing, de-duplication, and escalation policies.
Generate creative algorithmic and generative art using code — fractals, parametric patterns, noise fields, and procedural imagery.
Develop Angular components — services, pipes, directives, reactive forms, RxJS, and Angular Material.
| name | data-cleaner |
| display_name | Data Cleaner |
| description | Clean messy datasets — handle missing values, fix dtypes, remove duplicates, normalize formats, and flag anomalies. |
| category | Data & Analytics |
| platforms | ["claude.ai","claude-code","api"] |
| version | 1.0.0 |
| author | Claude Code |
| tags | ["data-cleaner"] |
Clean messy datasets — handle missing values, fix dtypes, remove duplicates, normalize formats, and flag anomalies.
Use Data Cleaner when you need to:
When this skill is active, Claude will:
User: Help me get started with data cleaner.
Claude: I'll walk you through the essential steps for data cleaner in your context...
User: I need a production-ready data cleaner setup with full error handling.
Claude: Here's a complete, production-hardened data cleaner implementation...
Required: python, pandas
Available on: claude.ai, claude-code, api
Part of the claude-skills collection — 183+ skills for Claude.
