Data Analytics Skills
Gives Claude Code or Codex 31 ready-to-run analyst workflows, from data quality checks to executive summaries, and never needs company setup before it's useful.
Overview
Data Analytics Skills is a library of 31 SKILL.md packages that turn Claude Code or Codex into a hands-on analytics partner, covering every stage of an analyst's workflow: data quality checks, deep-dive investigation, documentation, dashboards, and stakeholder communication. Skills follow the open Agent Skills standard, so they also work with other compatible agents like Cursor and Windsurf, and each one ships with real scripts, reference guides, and output templates instead of just a prompt.
How it works
- Clone the repo once, then copy only the skill folders you want into your agent's skills directory (
~/.claude/skills/for Claude Code,~/.agents/skills/for Codex). - Describe your task naturally, for example "I need to understand why our activation rate dropped 12% last week." The agent matches it to the right skill and activates automatically, no slash command needed.
- The skill asks only for the minimum context it needs (a dataset, a business question, a threshold), then runs its structured, scripted workflow.
- It states any assumption it had to make instead of guessing silently, and hands back a consistent output such as a filled report, a reviewed query, or a scored data quality rubric.
Examples
You: "I need to understand why our activation rate dropped 12% last week"
Agent: [activates root-cause-investigation, asks for metric data and context]
You: [provides data and business context]
Agent: [runs structured investigation with hypothesis testing]
To make a skill company-specific, drop a references/ folder inside it with your own company-schema.md, metric-definitions.md, and business-rules.md. The agent pulls that context in automatically the next time it runs.
Individual skills
The repo ships as 31 independent skills across 6 categories: data quality and validation, documentation and knowledge, data analysis and investigation, data storytelling and visualization, stakeholder communication, and workflow optimization. Each one is listed as its own entry in this directory under the data-ai category, so you can browse what each does on its own and install only what you need.
Installation
You need Claude Code, Codex, Cursor, or Windsurf.
- Clone the repo:
git clone https://github.com/nimrodfisher/data-analytics-skills.git - Copy the skill(s) you want, for example
cp -r data-analytics-skills/01-data-quality-validation/programmatic-eda ~/.claude/skills/for Claude Code, or into~/.agents/skills/for Codex. - Ask your agent a real question in plain language to confirm it activates the right skill on its own.
- New to the library? Start with
programmatic-edaon a familiar dataset, then addanalysis-planningat the start of your next project.
Related assets
Frontend Design
Generates distinctive, production-grade UI that avoids generic "AI slop," with bold typography, cohesive color, and precise motion, implemented as real code.
Graphify
Turns a codebase, plus its docs, PDFs, images, and video, into a queryable knowledge graph that a coding agent can traverse instead of grepping raw files, and never guesses silently: every edge is tagged EXTRACTED, INFERRED, or AMBIGUOUS so you know what was found versus inferred.
Caveman
Makes your coding agent answer in a stripped down, high signal style that keeps every technical fact and cuts filler, saving output tokens on chat style questions.