Agent skill

Regression Analysis Modeling

by liangdabiao in liangdabiao/claude-data-analysis-ultra-main

Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests.

No licenceAuto-check: notesData & Analytics

Install Regression Analysis Modeling

skills CLI
$ npx skills add liangdabiao/claude-data-analysis-ultra-main --skill regression-analysis-modeling -a claude-code

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

GitHub CLI
$ gh skill install liangdabiao/claude-data-analysis-ultra-main regression-analysis-modeling --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/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/regression-analysis-modeling .claude/skills/regression-analysis-modeling && 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
regression-analysis-modeling
GitHub stars
290
Token cost
~1.7k tokens
SKILL.md length
624 words
Files
13
Skills in repo
19
Repo updated
First seen
Licence
None found

At a glance

Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests.

  • Works in 5 steps: Data Preparation and Exploration → Feature Engineering → Model Training and Selection → …
  • You need to predict continuous values like housing prices
  • SKILL.md covers Instructions, Usage Examples, Key Features and File Requirements, plus 4 more sections
  • Runs Python scripts from its folder

What it does

Regression Analysis Modeling is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. Use when you need to predict continuous values like housing prices, sales forecasts, demand predictions, or any numerical target variables. Includes automated feature engineering, model comparison, and visualization with Chinese language support.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files (for example `README.md`, `core_regression.py` and `examples/basic_usage.md`).

It sits in Data & Analytics, covering Machine learning and Statistics. The repository describes itself as: 让小白都可以一键进行数据分析,搞互联网的,搞电商的,搞各种各样的,那么其实就会用到 互联网的数据分析, 例如互联网会关心 拉新,留存,促活,推荐,转化,A/B test, 用户分析 等等很多有用的数据分析。

When your agent uses it

  • You need to predict continuous values like housing prices
  • Sales forecasts
  • Demand predictions
  • Any numerical target variables

Example prompts

  • “/regression-analysis-modeling”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Write, Bash, Glob

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Data Preparation and Exploration
  2. Feature Engineering
  3. Model Training and Selection
  4. Model Evaluation and Diagnostics
  5. Visualization and Reporting

What it can do on your machine

Read from SKILL.md and the folder at commit 6b52856. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Bash
    • Glob

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    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

Regression Analysis Modeling loads about 1.7k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 624 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~101
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Bash, Glob

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 624 words (~1,667 tokens).

“A comprehensive regression analysis skill that automates the complete machine learning workflow from data preparation to model evaluation and interpretation, supporting multiple algorithms and business use cases.”

— opening of SKILL.md by liangdabiao
name
regression-analysis-modeling
allowed-tools
Read, Write, Bash, Glob

Read the full SKILL.md on GitHub

Files

SKILL.md and 12 other files in .claude/skills/regression-analysis-modeling of liangdabiao/claude-data-analysis-ultra-main.

  • SKILL.md
  • README.md
  • core_regression.py
  • examples/basic_usage.md
  • examples/housing_price_example.py
  • examples/sample_housing_data.csv
  • feature_engineering.py
  • model_evaluation.py
  • prediction_visualizer.py
  • requirements.txt
  • templates/model_comparison_template.md
  • templates/regression_report_template.md
  • test_regression.py

Open the folder on GitHubat commit 6b52856

Compare with similar skills

Regression Analysis Modeling 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.

Regression Analysis Modeling compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Regression Analysis Modeling this skillliangdabiao/claude-data-analysis-ultra-main290—~1.7kAutomated safety check: NotesNone
scikit-survival Time-to-Event Modelingdavila7/claude-code-templates32k11 repos~3.7kAutomated safety check: PassMIT
Data Scientistdavila7/claude-code-templates32k8 repos~2.6kAutomated safety check: PassMIT
Scientific Toolkit SkillzLanqing/codex-claude-academic-skills4.7k—~1.2kAutomated safety check: PassMIT
Data Sciencetravisjneuman/.claude101—~2.3kAutomated safety check: PassMIT
Evaluate ModelPKU-YuanGroup/OpenAI4S620—~583Automated safety check: PassMIT

Similar skills

  • scikit-survival Time-to-Event Modeling

    davila7/claude-code-templates

    Fits and evaluates survival models with scikit-survival: Cox models, Random Survival Forests, boosting, survival SVMs, concordance index, Brier score and competing risks.

    32k GitHub starsUsed in 11 repos~3.7k tokens
    Data & AnalyticsAuto-check passed
  • Data Scientist

    davila7/claude-code-templates

    Expert data scientist for advanced analytics, machine learning, and statistical modeling.

    32k GitHub starsUsed in 8 repos~2.6k tokens
    Data & AnalyticsAuto-check passed
  • Scientific Toolkit Skill

    zLanqing/codex-claude-academic-skills

    Research computing toolkit for optoelectronic information science and engineering, MATLAB/Octave, Python scientific analysis, signal processing, image processing, statistics, simulation…

    4.7k GitHub stars~1.2k tokensUpdated 4 mo ago
    Data & AnalyticsAuto-check passed
  • Data Science

    travisjneuman/.claude

    Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and analytics strategy.

    101 GitHub stars~2.3k tokensUpdated today
    Data & AnalyticsAuto-check passed
  • Evaluate Model

    PKU-YuanGroup/OpenAI4S

    Evaluate binary classification or regression models with confusion-matrix metrics, tie-aware ROC AUC, regression errors, and deterministic bootstrap confidence intervals; emphasizes held-out data…

    620 GitHub stars~583 tokensUpdated today
    Data & AnalyticsAuto-check passed
  • Performing Regression Analysis

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill empowers AI assistant to perform regression analysis and modeling using the regression-analysis-tool plugin.

    2.8k GitHub stars~944 tokensUpdated today
    Data & AnalyticsAuto-check passed

More from liangdabiao/claude-data-analysis-ultra-main

All 19 skills in this repo
  • Funnel Analysis

    liangdabiao/claude-data-analysis-ultra-main

    Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities.

    290 GitHub starsUsed in 1 repo~781 tokens
    Auto-check: notes
  • Retention Analysis

    liangdabiao/claude-data-analysis-ultra-main

    Analyze user retention and churn using survival analysis, cohort analysis, and machine learning.

    290 GitHub stars~1.3k tokensUpdated 5 mo ago
    Auto-check: notes
  • Attribution Analysis Modeling

    liangdabiao/claude-data-analysis-ultra-main

    Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models.

    290 GitHub stars~2.3k tokensUpdated 5 mo ago
    Auto-check: notes
  • Code Generator

    liangdabiao/claude-data-analysis-ultra-main

    Generates production-ready analysis code in Python, R, SQL. An agent skill from liangdabiao/claude-data-analysis-ultra-main.

    290 GitHub stars~513 tokensUpdated 5 mo ago
    Auto-check passed
  • Content Analysis

    liangdabiao/claude-data-analysis-ultra-main

    Analyze text content using both traditional NLP and LLM-enhanced methods.

    290 GitHub stars~1.7k tokensUpdated 5 mo ago
    Auto-check: notes
  • Data Explorer

    liangdabiao/claude-data-analysis-ultra-main

    Performs exploratory data analysis, statistical analysis, and pattern discovery.

    290 GitHub stars~2.1k tokensUpdated 5 mo ago
    Auto-check passed

Questions about Regression Analysis Modeling

What does Regression Analysis Modeling do?

Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. Regression Analysis Modeling is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests.

When should I use Regression Analysis Modeling?

Regression Analysis Modeling fits situations like: you need to predict continuous values like housing prices; sales forecasts; demand predictions; any numerical target variables.

How do I install Regression Analysis Modeling in Claude Code?

Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill regression-analysis-modeling -a claude-code`. Or copy the skill folder (.claude/skills/regression-analysis-modeling in liangdabiao/claude-data-analysis-ultra-main) into .claude/skills/regression-analysis-modeling in your project. Claude Code loads it when a task matches its description.

How do I install Regression Analysis Modeling in Codex?

Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill regression-analysis-modeling -a codex`. Or copy the skill folder (.claude/skills/regression-analysis-modeling in liangdabiao/claude-data-analysis-ultra-main) into .agents/skills/regression-analysis-modeling in your project. Codex loads it when a task matches its description.

Can I use Regression Analysis Modeling 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 liangdabiao/claude-data-analysis-ultra-main --skill regression-analysis-modeling -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-analysis-modeling, .gemini/skills/regression-analysis-modeling, .github/skills/regression-analysis-modeling and .opencode/skills/regression-analysis-modeling in your project.

What does Regression Analysis Modeling need to run?

Going by SKILL.md and its folder, Regression Analysis Modeling needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Bash, Glob.

Does Regression Analysis Modeling 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 Regression Analysis Modeling safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Regression Analysis Modeling use?

No licence was found for Regression Analysis Modeling or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Regression Analysis Modeling use?

About 1.7k tokens (SKILL.md is roughly 6.7k 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 Analysis Modeling?

Skills that share tags, products or a category with Regression Analysis Modeling: scikit-survival Time-to-Event Modeling (davila7/claude-code-templates, 32k stars), Data Scientist (davila7/claude-code-templates, 32k stars), Scientific Toolkit Skill (zLanqing/codex-claude-academic-skills, 4.7k stars) and Data Science (travisjneuman/.claude, 101 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Regression Analysis Modeling?

liangdabiao (a GitHub user) maintains it in liangdabiao/claude-data-analysis-ultra-main, which has 290 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on May 10, 2026.

Source: liangdabiao/claude-data-analysis-ultra-main on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.