data-collect

Transform business goals into data requirements and collection plans.

Updated Mar 3, 2026

Search Tags:#requirements #data-collection #kpi #data-sources #data-catalog #analysis-context

Ready to run

npx skills add https://github.com/mutsumi-yamamoto/claude-data-analysis-marketplace --skill data-collect

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-collect
Source: https://github.com/mutsumi-yamamoto/claude-data-analysis-marketplace/tree/main/plugins/data-analysis/skills/data-collect
Command: npx skills add https://github.com/mutsumi-yamamoto/claude-data-analysis-marketplace --skill data-collect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

データ要件定義・収集・カタログ化を行い、ビジネス目標とデータ資産を結びつける作業を自動化します。

Core Features & Use Cases

データ要件の逆算とKPIから必要データを特定
データソースのカタログ化と要件追跡
データ収集計画の生成とデータギャップの特定

Quick Start

analysis_context.md を読み込み、必要なデータ要件とデータソースを整理して収集計画を作成します。

Frequently Asked Questions about data-collect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I define data requirements from KPIs for a data collection plan?▼

To define data requirements from KPIs, this skill automates reverse-calculating necessary data fields from business goals and mapping them to specific data sources. It reads your analysis context to generate a structured data collection plan.

What is the best way to catalog data sources and trace requirement gaps?▼

The best way to catalog data sources and trace requirement gaps is using an automated requirement tracing workflow. This skill generates a data-source catalog and identifies missing data assets relative to your defined KPIs.

How does automating data collection workflows handle analysis context?▼

Automating data collection workflows handles analysis context by reading the analysis_context.md file directly. It extracts business objectives from this context to outline specific data acquisition steps and map required data stores.

Do I need a specific input format to start automating data requirements definition?▼

You need an analysis_context.md file to start automating data requirements definition. This markdown file provides the business goals and analysis context required to map KPIs and generate the data collection plan.

Can I use this automated data cataloging for projects needing end-to-end data sourcing?▼

Yes, you can use this for projects needing end-to-end data sourcing. It satisfies complete data collection workflows by outlining acquisition steps, creating a data-source catalog, and tracing requirements across data stores.

Why should I outline data acquisition steps before data collection?▼

You should outline data acquisition steps before data collection to identify data gaps early and ensure all required data sources align with your KPIs. This proactive planning prevents missing data assets during analysis.