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Agent skill

Streamline Analyst Guide

by wentorai in wentorai/research-plugins

End-to-end data analysis AI agent with Streamlit UI. An agent skill from wentorai/research-plugins.

MITAuto-check passedData & Analytics

Install Streamline Analyst Guide

skills CLI
$ npx skills add wentorai/research-plugins --skill streamline-analyst-guide -a claude-code

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

GitHub CLI
$ gh skill install wentorai/research-plugins streamline-analyst-guide --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/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analysis/wrangling/streamline-analyst-guide .claude/skills/streamline-analyst-guide && 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
streamline-analyst-guide
GitHub stars
298
Used in
1 other repo
Token cost
~885 tokens
SKILL.md length
102 words
Files
1
Skills in repo
405
Repo updated
First seen
Licence
MIT

At a glance

End-to-end data analysis AI agent with Streamlit UI. An agent skill from wentorai/research-plugins.

  • Works in 5 steps: Quick EDA: Rapid exploration of… → Data cleaning: Interactive preprocessing… → Baseline models: Quick ML prototyping… → …
  • Tasks that involve Data analysis
  • SKILL.md covers Overview, Installation, Workflow and Features, plus 3 more sections
  • Calls git, pip and streamlit; reaches github.com

What it does

Streamline Analyst Guide is an agent skill from wentorai/research-plugins. End-to-end data analysis AI agent with Streamlit UI

Its SKILL.md is about 890 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. It works with Streamlit. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

  • Tasks that involve Data analysis

Example prompts

  • “/streamline-analyst-guide”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Quick EDA: Rapid exploration of unfamiliar datasets
  2. Data cleaning: Interactive preprocessing with AI guidance
  3. Baseline models: Quick ML prototyping without coding
  4. Report generation: Automated analysis reports
  5. Teaching: Interactive data science demonstrations

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. 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

    Shell commands in SKILL.md call:

    • git
    • pip
    • streamlit

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    Also links to:

    • streamlit.io

    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

Streamline Analyst Guide loads about 885 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 102 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~885

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 wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 102 words, ~885 tokens.

Download SKILL.mdSave it as .claude/skills/streamline-analyst-guide/SKILL.md (or your agent's skills folder).
name
streamline-analyst-guide
description
End-to-end data analysis AI agent with Streamlit UI

Streamline Analyst Guide

Overview

Streamline Analyst is an end-to-end data analysis AI agent with a Streamlit web interface. Upload a dataset and describe your analysis goal in natural language — the agent handles data cleaning, EDA, feature engineering, model training, evaluation, and report generation. Provides an interactive UI for reviewing each step and adjusting parameters.

Installation

bash
git clone https://github.com/Wilson-ZheLin/Streamline-Analyst.git
cd Streamline-Analyst
pip install -r requirements.txt
streamlit run app.py

Workflow

Upload Dataset (CSV, Excel, Parquet)
         ↓
   Data Profiling
   ├── Column types and distributions
   ├── Missing value analysis
   ├── Correlation matrix
   └── Outlier detection
         ↓
   Data Cleaning (interactive)
   ├── Handle missing values
   ├── Remove/fix outliers
   ├── Type conversions
   └── Feature encoding
         ↓
   EDA (automated + custom)
   ├── Univariate analysis
   ├── Bivariate relationships
   ├── Statistical tests
   └── Custom visualizations
         ↓
   Modeling (if applicable)
   ├── Train/test split
   ├── Model selection + training
   ├── Hyperparameter tuning
   └── Evaluation metrics
         ↓
   Report Generation

Features

python
# Streamline Analyst provides:

# 1. Smart data profiling
# - Auto-detect column types (numeric, categorical, datetime)
# - Distribution analysis per column
# - Missing value patterns (MCAR, MAR, MNAR hints)
# - Correlation analysis with significance

# 2. Interactive cleaning
# - Imputation strategies (mean, median, mode, KNN, model)
# - Outlier handling (IQR, Z-score, isolation forest)
# - Encoding (one-hot, label, target, ordinal)
# - Scaling (standard, minmax, robust)

# 3. Automated EDA
# - Distribution plots (histogram, KDE, box, violin)
# - Relationship plots (scatter, pair, heatmap)
# - Time series decomposition
# - Statistical tests (t-test, ANOVA, chi-square, Mann-Whitney)

# 4. Model pipeline
# - Classification: LR, RF, GBM, SVM, MLP
# - Regression: LR, RF, GBM, SVR, ElasticNet
# - Cross-validation with confidence intervals
# - Feature importance visualization
# - SHAP explanations

# 5. Report
# - HTML report with all plots and findings
# - Downloadable cleaned dataset
# - Model artifacts (pickle)

Natural Language Interface

markdown
### Example Prompts
- "Show me the distribution of all numeric columns"
- "Is there a significant difference in income between genders?"
- "Build a classifier to predict churn using all features"
- "What are the top 5 most important features for prediction?"
- "Clean the data: fill missing values and remove outliers"
- "Generate a summary report of this dataset"

Use Cases

  1. Quick EDA: Rapid exploration of unfamiliar datasets
  2. Data cleaning: Interactive preprocessing with AI guidance
  3. Baseline models: Quick ML prototyping without coding
  4. Report generation: Automated analysis reports
  5. Teaching: Interactive data science demonstrations

References

© wentorai, MIT. 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 skills/analysis/wrangling/streamline-analyst-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

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Works with

Categories

Questions about Streamline Analyst Guide

What does Streamline Analyst Guide do?

End-to-end data analysis AI agent with Streamlit UI. An agent skill from wentorai/research-plugins. Streamline Analyst Guide is an agent skill from wentorai/research-plugins.

When should I use Streamline Analyst Guide?

Streamline Analyst Guide fits situations like: tasks that involve Data analysis.

How do I install Streamline Analyst Guide in Claude Code?

Run `npx skills add wentorai/research-plugins --skill streamline-analyst-guide -a claude-code`. Or copy the skill folder (skills/analysis/wrangling/streamline-analyst-guide in wentorai/research-plugins) into .claude/skills/streamline-analyst-guide in your project. Claude Code loads it when a task matches its description.

How do I install Streamline Analyst Guide in Codex?

Run `npx skills add wentorai/research-plugins --skill streamline-analyst-guide -a codex`. Or copy the skill folder (skills/analysis/wrangling/streamline-analyst-guide in wentorai/research-plugins) into .agents/skills/streamline-analyst-guide in your project. Codex loads it when a task matches its description.

Can I use Streamline Analyst Guide 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 wentorai/research-plugins --skill streamline-analyst-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/streamline-analyst-guide, .gemini/skills/streamline-analyst-guide, .github/skills/streamline-analyst-guide and .opencode/skills/streamline-analyst-guide in your project.

What does Streamline Analyst Guide need to run?

Going by SKILL.md and its folder, Streamline Analyst Guide needs the command-line tools its instructions call (git, pip and streamlit). Our summary lists: Python 3.

Does Streamline Analyst Guide access the network?

SKILL.md names 2 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: streamlit.io. This is read from the text; nothing was executed.

Is Streamline Analyst Guide 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 Streamline Analyst Guide use?

Streamline Analyst Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Streamline Analyst Guide use?

About 885 tokens (SKILL.md is roughly 3.5k 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 Streamline Analyst Guide?

Skills that share tags, products or a category with Streamline Analyst Guide: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 84k stars), Exploratory Data Analysis (Oleafly/Oleafly, 212 stars) and Pandas Pro (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Streamline Analyst Guide?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.

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