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data-cleaning

Skill by kakamana

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/kakamana-data-cleaning

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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Use cases: data

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What's inside

Skill name
data-cleaning
Description
None
License
MIT
Instructions
18 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • invalid YAML frontmatter: Nested mappings are not allowed in compact mappings at line 2, column 14:
  • name: missing
  • description: missing

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Data Cleaning

Clean a messy dataset: types, missing values, outliers, duplicates, and inconsistent categories.

## When to use
Trigger when the user is doing data science / ML work touching Data Cleaning on a dataset or notebook in this project.

## Steps
1. Fix dtypes and parse dates/numbers.
2. Decide and document a strategy per column for missing values.
3. Handle outliers explicitly (cap, drop, or keep with reason).
4. Normalize categorical labels and remove duplicates; keep a cleaning log.

## Output
Produce runnable Python (pandas / scikit-learn) plus a short written read-out of findings
and decisions. Prefer pipelines over ad-hoc steps, and always state assumptions.

From kakamana/ds-agent-starter, MIT.

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Last commit (this folder)
Jun 4, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

data-cleaning skill. Agent Mart. https://agentmart.dev/skills/kakamana-data-cleaning (last updated 2026-10-24)