📊
DataPython

Data Analysis

by Rylaispirit

Data Analysis is a Data skill for Claude Code, published by Rylaispirit in rylai-codex-hermes-skills.

27 stars20 forkson Rylaispirit/rylai-codex-hermes-skillsAdded 2026/08/11+243% in starsRepository updated 2026/08/09
agent-skillsai-agentsautomationcodexhermesproductivityskill-libraryvietnamese
Install in seconds
Install Data Analysis
Copy Data Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Rylaispirit/rylai-codex-hermes-skills/tree/main/skills/analytics-data-analysis ~/.claude/skills/analytics-data-analysis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Rylaispirit/rylai-codex-hermes-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/analytics-data-analysis/SKILL.md in Rylaispirit/rylai-codex-hermes-skills
Installs to
~/.claude/skills/analytics-data-analysis
Collection
One of 25 skills cataloged from this repository
Category
Data668 skills

What Data Analysis does

Implement reproducible analytics work in scripts or notebooks, covering ingestion, quality checks, transformation, statistical analysis, visualization, and delivery. Use when you need working analysis code or a repeatable pipeline.

Data Analysis is cataloged under Data on DirSkills. Data Analysis comes from a repository tagged agent-skills, ai-agents, automation, codex and hermes.

Documentation

README

Rylai Analytics Implementation

Build analysis that another person can rerun and audit.

Define The Contrac

Capture the following before choosing methods:

  • decision or question the analysis must support;
  • input files, tables, date range, units, and grain;
  • metric definitions and inclusion rules;
  • expected deliverable: script, notebook, chart set, table, or report;
  • runtime limits, privacy constraints, and required output path.

Inspect the real input before assuming its schema.

Implementation Workflow

  1. Inventory
    • Record source names, sizes, columns, types, row counts, and keys.
    • Detect encoding, delimiter, duplicate-key, timezone, and locale issues.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Data Analysis

  • What else does Rylaispirit publish alongside Data Analysis?

    Data Analysis is one of 25 skills that DirSkills catalogs from Rylaispirit/rylai-codex-hermes-skills, the repository it ships in. Its siblings there include Academic PPTX, Academic Paper Polish and Academic Slides. Each one is a separate skill with its own page in this directory, installs the same way Data Analysis does, and is maintained by Rylaispirit in that same repository. The rest of the collection is listed on the Rylaispirit/rylai-codex-hermes-skills page.

  • How does Data Analysis compare to other Data skills?

    Data Analysis ranks #639 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Data Analysis against them. Open each page to compare what they document and how they install.

More from Rylaispirit/rylai-codex-hermes-skills

Data Analysis is one of 25 skills cataloged on DirSkills from Rylaispirit/rylai-codex-hermes-skills.

See all 25 skills