CSV Data Analysis
5zjk5/prompt-engineering
This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data visualizations.
Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation.
Install Regression Modeler
$ npx skills add zebbern/claude-code-guide --skill regression-modeler -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zebbern/claude-code-guide regression-modeler --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/regression-modeler .claude/skills/regression-modeler && rm -rf skills-srcUse ~/.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/
Install the "regression-modeler" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/regression-modeler into .claude/skills/regression-modeler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-modeler", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zebbern/claude-code-guide/tree/main/skills/regression-modelerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zebbern/claude-code-guide --skill regression-modeler -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zebbern/claude-code-guide regression-modeler --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/regression-modeler .agents/skills/regression-modeler && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "regression-modeler" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/regression-modeler into .agents/skills/regression-modeler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-modeler", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zebbern/claude-code-guide --skill regression-modeler -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zebbern/claude-code-guide regression-modeler --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/regression-modeler .cursor/skills/regression-modeler && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "regression-modeler" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/regression-modeler into .cursor/skills/regression-modeler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-modeler", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zebbern/claude-code-guide.git --path skills/regression-modeler--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zebbern/claude-code-guide --skill regression-modeler -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zebbern/claude-code-guide regression-modeler --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/regression-modeler .gemini/skills/regression-modeler && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "regression-modeler" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/regression-modeler into .gemini/skills/regression-modeler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-modeler", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zebbern/claude-code-guide regression-modelerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zebbern/claude-code-guide --skill regression-modeler -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/regression-modeler .github/skills/regression-modeler && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "regression-modeler" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/regression-modeler into .github/skills/regression-modeler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-modeler", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zebbern/claude-code-guide --skill regression-modeler -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zebbern/claude-code-guide regression-modeler --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/regression-modeler .opencode/skills/regression-modeler && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "regression-modeler" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/regression-modeler into .opencode/skills/regression-modeler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "regression-modeler", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
regression-modeler- GitHub stars
- 4.6k
- Token cost
- ~909 tokens
- SKILL.md length
- 172 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 46
- Repo updated
- First seen
- Licence
- MIT
At a glance
Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation.
- Tasks that involve Statistics
- SKILL.md covers Capabilities, Quick Start, Detailed Usage and Parameters, plus 2 more sections
- Runs Python scripts from its folder; calls python3 and pip
- Tasks that involve Plain language and style rules
What it does
Regression Modeler is an agent skill from zebbern/claude-code-guide. Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, checking multicollinearity, or keywords like OLS, logit, coefficient, p-value, or R-squared.
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/regression_analyzer.py`).
It sits in Data & Analytics, covering Statistics, Plain language and style rules and Excel spreadsheets. It works with Microsoft Excel. The repository describes itself as: Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user! The licence is MIT.
When your agent uses it
- Tasks that involve Statistics
- Tasks that involve Plain language and style rules
- Tasks that involve Excel spreadsheets
Example prompts
- “/regression-modeler”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 4698e3b. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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
Regression Modeler loads about 909 tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 172 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from zebbern/claude-code-guide at commit 4698e3b, republished under its MIT licence (© zebbern). 172 words, ~909 tokens.
Download SKILL.mdSave it as
.claude/skills/regression-modeler/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- regression-modeler
- description
- Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, checking multicollinearity, or keywords like OLS, logit, coefficient, p-value, or R-squared.
- license
- MIT
regression-modeler
Automated regression modeling tool — performs linear regression (OLS) or logistic regression (Logit) on tabular data, producing comprehensive statistical results with plain-language interpretation.
Capabilities
| Feature | Description |
|---|---|
| Linear Regression | OLS with coefficients, R², adjusted R², F-test, AIC/BIC, Durbin-Watson |
| Logistic Regression | Logit with coefficients, Odds Ratio, Pseudo R², likelihood ratio test |
| Multicollinearity Detection | VIF values for each predictor with warning levels |
| Plain-Language Interpretation | Clear explanations of what each metric and coefficient means |
| Auto Detection | Automatically switches to logistic regression when the target is binary (0/1) |
Quick Start
# Linear regression: predict price using all numeric columns as predictors
python3 scripts/regression_analyzer.py data.csv --target price
# Logistic regression: predict churn (0/1) with specified features
python3 scripts/regression_analyzer.py users.csv --target churn --features "age,income,tenure"
# Save results to JSON
python3 scripts/regression_analyzer.py data.csv --target sales --output result.jsonDetailed Usage
Basic Invocation
python3 scripts/regression_analyzer.py <data_file> --target <target_column> [options]Specifying Regression Type
# Force linear regression
python3 scripts/regression_analyzer.py data.csv -t y --type linear
# Force logistic regression
python3 scripts/regression_analyzer.py data.csv -t label --type logistic
# Auto-detect (default)
python3 scripts/regression_analyzer.py data.csv -t y --type autoSelecting Feature Columns
# Manually specify (comma-separated)
python3 scripts/regression_analyzer.py data.csv -t price -f "sqft,bedrooms,bathrooms"
# Omit to automatically use all numeric columns
python3 scripts/regression_analyzer.py data.csv -t priceParameters
| Parameter | Short | Required | Default | Description |
|---|---|---|---|---|
input | — | Yes | — | Input file path (CSV/TSV/Excel/JSON) |
--target | -t | Yes | — | Target variable (dependent variable) column name |
--features | -f | No | All numeric columns | Predictor column names, comma-separated |
--type | -T | No | auto | Regression type: linear / logistic / auto |
--output | -o | No | stdout | Output JSON file path |
--no-const | — | No | false | Do not add an intercept term |
--keep-na | — | No | false | Keep rows with missing values (for debugging) |
Output Structure (JSON)
{
"type": "linear",
"r_squared": 0.8523,
"r_squared_adj": 0.8471,
"f_statistic": 162.34,
"f_p_value": 0.0,
"coefficients": {
"sqft": {"coefficient": 135.42, "p_value": 0.0001, ...},
"bedrooms": {"coefficient": 8021.5, "p_value": 0.032, ...}
},
"vif": {"sqft": 2.31, "bedrooms": 1.87},
"interpretation": {
"model_summary": ["R² = 0.8523 (good model fit...)"],
"variable_analysis": ["sqft: coefficient = 135.42... positive effect..."]
}
}Dependencies
- Python 3.8+
- pandas
- numpy
- statsmodels
- scipy
pip install pandas numpy statsmodels scipy© zebbern, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts) in skills/regression-modeler of zebbern/claude-code-guide.
- SKILL.md
- LICENSE
- scripts/regression_analyzer.py
Open the folder on GitHubat commit 4698e3b
Compare with similar skills
Regression Modeler 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Regression Modeler this skillzebbern/claude-code-guide | 4.6k | — | ~909 | Automated safety check: Pass | MIT | |
| CSV Data Analysis5zjk5/prompt-engineering | 127 | — | ~2.6k | Automated safety check: Pass | None | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Research Integrity Auditxuzhougeng/wisp-science | 1k | — | ~2.6k | Automated safety check: Pass | AGPL-3.0 | |
| Category StatisticsMichaelYang-lyx/AIDABench | 111 | 1 repos | ~1.2k | Automated safety check: Pass | None | |
| Workflow AutomatorLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.7k | Automated safety check: Pass | MIT |
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Works with
Questions about Regression Modeler
What does Regression Modeler do?
Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Regression Modeler is an agent skill from zebbern/claude-code-guide. Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation.
When should I use Regression Modeler?
Regression Modeler fits situations like: tasks that involve Statistics; tasks that involve Plain language and style rules; tasks that involve Excel spreadsheets.
How do I install Regression Modeler in Claude Code?
Run `npx skills add zebbern/claude-code-guide --skill regression-modeler -a claude-code`. Or copy the skill folder (skills/regression-modeler in zebbern/claude-code-guide) into .claude/skills/regression-modeler in your project. Claude Code loads it when a task matches its description.
How do I install Regression Modeler in Codex?
Run `npx skills add zebbern/claude-code-guide --skill regression-modeler -a codex`. Or copy the skill folder (skills/regression-modeler in zebbern/claude-code-guide) into .agents/skills/regression-modeler in your project. Codex loads it when a task matches its description.
Can I use Regression Modeler 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 zebbern/claude-code-guide --skill regression-modeler -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/regression-modeler, .gemini/skills/regression-modeler, .github/skills/regression-modeler and .opencode/skills/regression-modeler in your project.
What does Regression Modeler need to run?
Going by SKILL.md and its folder, Regression Modeler needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.
Does Regression Modeler access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Regression Modeler 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Regression Modeler use?
Regression Modeler is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Regression Modeler use?
About 909 tokens (SKILL.md is roughly 3.6k 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 Regression Modeler?
Skills that share tags, products or a category with Regression Modeler: CSV Data Analysis (5zjk5/prompt-engineering, 127 stars), Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Research Integrity Audit (xuzhougeng/wisp-science, 1k stars) and Category Statistics (MichaelYang-lyx/AIDABench, 111 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Regression Modeler?
zebbern (a GitHub user) maintains it in zebbern/claude-code-guide, which has 4,648 GitHub stars. The repository holds 46 skills in this directory. The repository was last updated on October 7, 2026.
Source: zebbern/claude-code-guide on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.