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Agent skill

Data Analyst

by RightNow-AI in RightNow-AI/openfang

Data analysis expert for statistics, visualization, pandas, and exploration

Apache-2.0Auto-check passedData & Analytics

Install Data Analyst

skills CLI
$ npx skills add RightNow-AI/openfang --skill data-analyst -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install RightNow-AI/openfang data-analyst --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .claude/skills && cp -r skills-src/crates/openfang-skills/bundled/data-analyst .claude/skills/data-analyst && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
data-analyst
GitHub stars
18k
Token cost
~730 tokens
SKILL.md length
353 words
Files
1
Skills in repo
68
Repo updated
First seen
Licence
Apache-2.0

At a glance

Data analysis expert for statistics, visualization, pandas, and exploration

  • Tasks that involve Data analysis
  • SKILL.md covers Key Principles, Exploratory Data Analysis, Data Cleaning and Visualization Best Practices, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Statistics

What it does

Data Analyst is an agent skill from RightNow-AI/openfang. Data analysis expert for statistics, visualization, pandas, and exploration

Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering Data analysis, Statistics and DataFrames. It works with pandas. The repository describes itself as: Open-source Agent Operating System. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Data analysis
  • Tasks that involve Statistics
  • Tasks that involve DataFrames

Example prompts

  • “/data-analyst”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit acf2587. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Data Analyst loads about 730 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 353 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~730

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from RightNow-AI/openfang at commit acf2587, republished under its Apache-2.0 licence (© RightNow-AI). 353 words, ~730 tokens.

Download SKILL.mdSave it as .claude/skills/data-analyst/SKILL.md (or your agent's skills folder).
name
data-analyst
description
Data analysis expert for statistics, visualization, pandas, and exploration

Data Analysis Expert

You are a data analysis specialist. You help users explore datasets, compute statistics, create visualizations, and extract actionable insights using Python (pandas, numpy, matplotlib, seaborn) and SQL.

Key Principles

  • Always start with exploratory data analysis (EDA) before modeling or drawing conclusions.
  • Validate data quality first: check for nulls, duplicates, outliers, and inconsistent formats.
  • Choose the right visualization for the data type: bar charts for categories, line charts for time series, scatter plots for correlations, histograms for distributions.
  • Communicate findings in plain language. Not everyone reads code — summarize with clear takeaways.

Exploratory Data Analysis

  • Load and inspect: df.shape, df.dtypes, df.head(), df.describe(), df.isnull().sum().
  • Identify key variables and their types (numeric, categorical, datetime, text).
  • Check distributions with histograms and box plots. Look for skewness and outliers.
  • Examine correlations with df.corr() and heatmaps for numeric features.
  • Use df.value_counts() for categorical breakdowns and frequency analysis.

Data Cleaning

  • Handle missing values deliberately: drop rows, fill with mean/median/mode, or interpolate — choose based on the data context.
  • Standardize formats: consistent date parsing (pd.to_datetime), string normalization (.str.lower().str.strip()).
  • Remove or flag duplicates with df.duplicated().
  • Convert data types appropriately: categories to pd.Categorical, IDs to strings, amounts to float.
  • Document every cleaning step so the analysis is reproducible.
Show full SKILL.md (154 more words)Show less

Visualization Best Practices

  • Every chart needs a title, labeled axes, and appropriate units.
  • Use color intentionally — highlight the key insight, not every category.
  • Avoid 3D charts, pie charts with many slices, and truncated y-axes that exaggerate differences.
  • Use figsize to ensure charts are readable. Export at high DPI for reports.
  • Annotate key data points or thresholds directly on the chart.

Statistical Analysis

  • Report measures of central tendency (mean, median) and spread (std, IQR) together.
  • Use hypothesis tests when comparing groups: t-test for means, chi-square for proportions, Mann-Whitney for non-parametric.
  • Always report effect size and confidence intervals, not just p-values.
  • Check assumptions: normality, homoscedasticity, independence before applying parametric tests.

Pitfalls to Avoid

  • Do not draw causal conclusions from correlations alone.
  • Do not ignore sample size — small samples produce unreliable statistics.
  • Do not cherry-pick results — report what the data shows, including inconvenient findings.
  • Avoid aggregating data at the wrong granularity — Simpson's paradox can reverse observed trends.

© RightNow-AI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in crates/openfang-skills/bundled/data-analyst of RightNow-AI/openfang.

Open the folder on GitHubat commit acf2587

Compare with similar skills

Data Analyst next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Data Analyst compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Data Analyst this skillRightNow-AI/openfang18k—~730Automated safety check: PassApache-2.0
Data AnalysisEXboys/skilllite170—~176Automated safety check: PassMIT
Python Executorcortega26/chile-hub1132 repos~1.5kAutomated safety check: PassMIT
Pandas ProJeffallan/claude-skills12k1 repos~1.5kAutomated safety check: PassMIT
Statistical Data Analysislingzhi227/agent-research-skills384—~886Automated safety check: PassNone
Verified Data Analysis with pandaspipeshub-ai/pipeshub-ai3.8k—~1.2kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Data Analyst

What does Data Analyst do?

Data analysis expert for statistics, visualization, pandas, and exploration. Data Analyst is an agent skill from RightNow-AI/openfang.

When should I use Data Analyst?

Data Analyst fits situations like: tasks that involve Data analysis; tasks that involve Statistics; tasks that involve DataFrames.

How do I install Data Analyst in Claude Code?

Run `npx skills add RightNow-AI/openfang --skill data-analyst -a claude-code`. Or copy the skill folder (crates/openfang-skills/bundled/data-analyst in RightNow-AI/openfang) into .claude/skills/data-analyst in your project. Claude Code loads it when a task matches its description.

How do I install Data Analyst in Codex?

Run `npx skills add RightNow-AI/openfang --skill data-analyst -a codex`. Or copy the skill folder (crates/openfang-skills/bundled/data-analyst in RightNow-AI/openfang) into .agents/skills/data-analyst in your project. Codex loads it when a task matches its description.

Can I use Data Analyst in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add RightNow-AI/openfang --skill data-analyst -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-analyst, .gemini/skills/data-analyst, .github/skills/data-analyst and .opencode/skills/data-analyst in your project.

What does Data Analyst need to run?

SKILL.md names no scripts, command-line tools or credentials: Data Analyst is instructions for the agent only. Our summary lists: Python 3.

Does Data Analyst access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Data Analyst safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Data Analyst use?

Data Analyst is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Data Analyst use?

About 730 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Data Analyst?

Skills that share tags, products or a category with Data Analyst: Data Analysis (EXboys/skilllite, 170 stars), Python Executor (cortega26/chile-hub, 113 stars), Pandas Pro (Jeffallan/claude-skills, 12k stars) and Statistical Data Analysis (lingzhi227/agent-research-skills, 384 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Analyst?

RightNow-AI (a GitHub organization) maintains it in RightNow-AI/openfang, which has 18,213 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on July 2, 2026.

Source: RightNow-AI/openfang on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.