Data Analysis Seller Skill for Openclaw

A professional AI-driven data processing skill designed to clean, analyze, and visualize complex datasets through automated workflows.

yongtaop1-sys
v1.0.0
Mar 24, 2026
0
835
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install data-analysis-seller

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install data-analysis-seller using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Data Analysis Seller Skill?

The Data Analysis Seller Skill is a specialized tool within the Openclaw Skills framework designed for developers and analysts who need to automate their data science pipeline. It bridges the gap between raw data storage and executive-level reporting by leveraging powerful Python libraries and SQL integration.

By incorporating this skill into your workflow, you can move from basic data cleaning to the creation of sophisticated, interactive HTML reports and real-time dashboards. It is built to handle everything from simple CSV exports to complex API-driven data visualizations.

Data Analysis Seller Skill Use Cases

  • Automating the cleaning and preparation of messy datasets for statistical modeling.
  • Generating interactive visual reports and HTML dashboards for stakeholder presentations.
  • Creating automated trend analysis reports from SQL databases or Google Sheets.
  • Building custom real-time dashboards with seamless API integrations.

How Data Analysis Seller Skill Works

  1. Input ingestion: The skill accepts data from various sources including Excel, CSV, or direct SQL queries.
  2. Data Processing: Using pandas, the skill performs data cleaning and calculates basic statistics to ensure data integrity.
  3. Analysis & Modeling: It applies trend analysis and custom logic to identify patterns within the processed data.
  4. Visualization Generation: Matplotlib and other visualization libraries generate charts or interactive HTML components.
  5. Delivery: The final output is packaged as a report, dashboard, or structured file according to the selected service tier.

Data Analysis Seller Skill Setup

To integrate this component of Openclaw Skills, ensure your environment has the necessary Python dependencies installed:

pip install pandas matplotlib sqlalchemy

Configure your API keys or database connection strings within your agent environment variables to enable custom dashboard features.

Data Analysis Seller Skill Data Schema & Taxonomy

Component Format Description
Raw Input CSV / XLSX / SQL The primary source data for analysis.
Cleaned Data CSV / Excel Standardized output after statistical cleaning.
Visual Reports HTML / PNG Interactive or static visual representations of data trends.
Metadata JSON Tracking of analysis timestamps, data types, and service parameters.

Data Analysis Seller Skill Advanced Features

  • Real-time dashboard generation for live monitoring of data streams.
  • Automated API integration for pulling data from third-party SaaS platforms.
  • Multi-format export capabilities supporting both legacy spreadsheets and modern web reports.
  • Customized SQL query building for deep-dive analysis into relational databases.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*