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ClaudSkills / Science & Research / science-misc

Data Explorer

Category: Science & Research  ·  Sub-category: science-misc  ·  Last updated:
Use when the task is to inspect a dataset, profile data, understand schema and grain, assess data quality, find missingness or duplicates, identify row grain, check time coverage, or determine whether data is analysis-ready. Triggers include "inspect this dataset," "profile the data," "understand the schema," "check for missingness," "find duplicates," "what is the row grain," "assess data quality," "is this data ready for analysis," or first-pass EDA. Do NOT use for final stakeholder reporting, dashboard layout, model validation, experiment readout, or production monitoring.
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What this skill does

Data Explorer is a community-contributed Claude Code skill in the science-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/data-explorer/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when the task is to inspect a dataset, profile data, understand schema and grain, assess data quality, find missingness or duplicates, identify row grain, check time coverage, or determine whether data is analysis-ready. Triggers include "inspect this dataset," "profile the data," "understand the schema," "check for missingness," "find duplicates," "what is the row grain," "assess data quality," "is this data ready for analysis," or first-pass EDA.

Who uses this skill

The Data Explorer Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 161,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/data-explorer
curl -L https://claudskills.com/skills/data-explorer/SKILL.md \
  -o ~/.claude/skills/data-explorer/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/data-explorer/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/data-explorer/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\data-explorer\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

See pricing → Download desktop app

Frequently asked questions

How do I install the Data Explorer Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/data-explorer/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Data Explorer skill do?
Use when the task is to inspect a dataset, profile data, understand schema and grain, assess data quality, find missingness or duplicates, identify row grain, check time coverage, or determine whether data is analysis-ready. Triggers include "inspect this dataset," "profile the data," "understand the schema," "check for missingness," "find duplicates," "what is the row grain," "assess data quality," "is this data ready for analysis," or first-pass EDA. Do NOT use for final stakeholder reporting, dashboard layout, model validation, experiment readout, or production monitoring.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Data Explorer skill?
Use Data Explorer when your Claude Code task falls under the Science & Research category — specifically in the science misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Data Explorer" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Data Explorer skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Data Explorer is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
DAlanMtz. (2026). Data Explorer [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/data-explorer/
BibTeX
@misc{data-explorer-2026,
  author    = {DAlanMtz},
  title     = {Data Explorer [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/data-explorer/}
}

Embed this skill

Promote, attribute, or link this skill from your own README, blog post, or documentation. All three snippets are free to use — no sign-up, no API key. More distribution surfaces →

Badge
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<script>
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<iframe>
<iframe src="https://claudskills.com/embed/data-explorer.html" width="100%" height="160" frameborder="0" loading="lazy" title="ClaudSkills: Data Explorer"></iframe>

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More Science & Research skills

Browse all Science & Research skills in the ClaudSkills registry, or explore these other picks from the same category:

Browse all Science & Research skills → Top 100 skills
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