data-cleaning

Generic steps — the original listing is authoritative. Copy the command, run it where you keep agent skills, then confirm version and requirements in the original listing.

At a glance

• Clean messy tabular datasets with deduplication, missing value imputation, outlier handling, and text processing.
• 6 installs reported on mcpdirectory.
• Published by benchflow-ai — listed by mcpdirectory. Setup details live in the original listing.

How to use

1. Copy the Install command above.
2. Run it where you keep agent skills.
3. Confirm version and requirements in the original listing.

More in Agent workflows

• cleanup — Simplify and clean code
• connect-apps — Connect Claude to external apps like Gmail, Slack, GitHub. Use this skill when the user wants to send emails,
• data-analyzer — Analyze datasets and extract insights. Use when user needs to understand data patterns, statistics, or trends.
• translate-skill — Use this skill when you are doing localization and translation work.
• plane — Manage Plane.so projects and work items using the `plane` CLI. List projects, create/update/search issues, man
• specification-writing — Write technical specifications that give agents enough context to implement features while leaving room for au

More from benchflow-ai

• polyglot-rust-c — Guidance for creating polyglot source files that compile and run correctly as both Rust and C or C++.
• latex-writing — Guide LaTeX document authoring following best practices and proper semantic markup.
• powerlifting — Calculating powerlifting scores to determine the performance of lifters across different weight classes.
• pcap-analysis — Guidance for analyzing network packet captures (PCAP files) and computing network statistics using Python, wit

← Back to Skills catalog · View original listing ↗

Outdated or wrong? Report this listing.