AI agent skills for data analysis

Analysis skills are worth having for the steps people skip: checking what is missing, saying whether the sample supports the claim, and refusing to report a difference as meaningful when it is not. The weak ones jump to a chart. Look for skills that make the agent describe the dataset before analysing it — most wrong analyses are wrong about the data, not the maths.

People land here searching for “claude code data analysis skill”, “agent skill pandas”, “statistical analysis skill”.

40 data analysis skills Refine in search →

How to install a data analysis skill

  1. Compare the skills. Read the data analysis skills below — each page shows the full SKILL.md, its safety verdict, and the capabilities it declares.
  2. Install it. Run npx skillmds@latest add <owner>/<name>. The CLI writes the skill into every agent directory it detects, or use --agent to pin one.
  3. Use it. Restart your agent. It loads the skill on demand the next time you ask for something that matches — you do not have to name the skill.

What makes a good data analysis skill?

Analysis skills are worth having for the steps people skip: checking what is missing, saying whether the sample supports the claim, and refusing to report a difference as meaningful when it is not. The weak ones jump to a chart. Look for skills that make the agent describe the dataset before analysing it — most wrong analyses are wrong about the data, not the maths.

Every skill listed here is a plain SKILL.md file in the format Anthropic documents for Agent Skills, read unchanged by Cursor, OpenAI Codex and 60+ agents. Each passes a safety review before it is publicly listed; the verdict and declared capabilities are on every skill's page.

Frequently asked questions

What is an agent skill for data analysis?

Analysis skills are worth having for the steps people skip: checking what is missing, saying whether the sample supports the claim, and refusing to report a difference as meaningful when it is not. The weak ones jump to a chart. Look for skills that make the agent describe the dataset before analysing it — most wrong analyses are wrong about the data, not the maths.

Does a data analysis skill need a Python environment?

Usually, yes — most drive pandas or a similar library through your agent's code execution. Skills that are purely methodological (how to frame the question, which test applies) work without one, and say so in their description.

Which agents can use these data analysis skills?

Any agent that reads SKILL.md files: Claude Code, Claude.ai, Cursor, OpenAI Codex, Windsurf, OpenCode and 60+ others. The format is not vendor-specific, so the same file works everywhere — each agent just keeps its skills in a different directory, listed at /agents.

Are these data analysis skills free?

Yes. Searching, reading and installing skills on SkillMD is free and needs no account. Individual skills carry their own licence, shown on each skill's page.