Data Analysis Companion
by David-Saeteros · data-analytics · python, go, testing, git, skill
A structured companion for exploratory and targeted data analysis in R or Python. Use this skill whenever the user uploads a dataset, mentions variables, shares data output, or says anything like "help me analyse this data", "explore this dataset", "clean my data", "what can I do with this", "run some descriptives", "help me with my analysis", or pastes output from R or Python. Also trigger when the user mentions any of these analytical contexts: survey data, Likert scales, factor analysis, r...
Source: https://github.com/David-Saeteros/claude-skills
Install
git clone https://github.com/David-Saeteros/claude-skillsTags: python, go, testing, git, skill
⭐ 4 GitHub stars · Source: skillsdirectory
About data-analytics MCP servers and Claude skills
data-analytics MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
Data Analysis Companion is one of hundreds of data-analytics entries indexed on Skiln. Browse the full data-analytics category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
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Frequently asked questions
How do I install Data Analysis Companion?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Data Analysis Companion?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Data Analysis Companion free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.