Why should I use this skill at the start of a project?

Setting the context ensures the AI understands the business 'why' behind the data, which prevents irrelevant analysis and ensures the final results are actionable.

What is the Data Context skill?

It is a specialized capability for Claude Code that helps users define the background, goals, and technical constraints of a data analysis project before starting technical work.

How does it store the project information?

The skill creates or updates an 'analysis_context.md' file in your project root, which serves as a persistent source of truth for Claude throughout the project lifecycle.

Which file formats does this skill support?

It supports a wide range of inputs including CSV, Excel, PDF, meeting minutes, and text-based strategic documents.

Data Context Manager

Name: Data Context Manager
Author: mutsumi-yamamoto

bymutsumi-yamamoto

0•

Data Science & ML

Establishes and maintains project context by analyzing data files and business documents to define analysis goals and constraints.

The Data Context skill serves as the essential foundational phase for any AI-driven data analysis project, enabling Claude to deeply understand the business background, objectives, and technical constraints before generating code. It automatically parses diverse inputs—including CSVs, Excel files, meeting minutes, and PDFs—to build a structured 'analysis_context.md' file. By automating data profiling and requirement extraction, it ensures that subsequent analysis steps are perfectly aligned with stakeholder expectations and specific organizational goals.

Key Features

010 GitHub stars

02Automated data profiling for CSV, Excel, and database files including schema detection

03Structured extraction of business requirements from meeting minutes and strategy documents

04Intelligent multi-step interviewing to clarify project scope and success criteria

05Automatic generation and maintenance of a standardized analysis_context.md file

06Multi-encoding support for reliable reading of international data formats

Use Cases

01Initiating new data analysis projects with unstructured stakeholder requirements

02Summarizing business context and KPIs from complex PDFs and strategic reports

03Defining data schemas and constraints before proceeding to exploratory data analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mutsumi-yamamoto/claude-data-analysis-marketplace data-context

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Automated data profiling for CSV, Excel, and database files including schema detection

03Structured extraction of business requirements from meeting minutes and strategy documents

04Intelligent multi-step interviewing to clarify project scope and success criteria

05Automatic generation and maintenance of a standardized analysis_context.md file

06Multi-encoding support for reliable reading of international data formats

Use Cases

01Initiating new data analysis projects with unstructured stakeholder requirements

02Summarizing business context and KPIs from complex PDFs and strategic reports

03Defining data schemas and constraints before proceeding to exploratory data analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mutsumi-yamamoto/claude-data-analysis-marketplace data-context

For use in Claude.ai and ChatGPT