What data types does it standardize?

It provides specific requirements for market size, growth rates (CAGR), company profiles, patent trends, and technology readiness levels (TRL).

How does it ensure data consistency?

The skill includes internal checklists to verify units and totals, and external checklists to ensure data matches across different chapters of a document.

How does the skill handle source reliability?

It categorizes sources into grades (A through F), prioritizing global institutions and government data while excluding informal sources like personal blogs.

What is the Data Collection Quality Guide?

It is a specialized framework for Claude that enforces high standards for data reliability, source grading, and verification in research-heavy tasks.

Data Collection Quality Guide

Name: Data Collection Quality Guide
Author: orientpine

byorientpine

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웹 스크래핑 및 데이터 수집

Establishes rigorous quality standards and verification methods for market research, patent analysis, and professional data collection tasks.

This skill provides a comprehensive framework for Claude to evaluate and verify the quality of collected data during research and report generation. It defines strict criteria for source reliability (grading from A to F), data freshness (targeting 2024-2025), and structural completeness for market data, company profiles, and patent analysis. By implementing these standards, users can ensure that AI-driven insights maintain professional-grade accuracy, consistency, and academic integrity, supported by automated verification checklists for cross-chapter alignment.

주요 기능

01Source Reliability Grading (Grades A to F)

02Cross-Chapter Data Consistency Verification

03Mandatory Data Field Validation for Market and Patents

049 GitHub stars

05Data Recency Enforcement (2023-2025 window)

06Standardized Table Templates for M&A and Competitiveness

사용 사례

01Verifying the integrity and consistency of complex multi-chapter technical documents

02Generating high-quality market research reports with verified global sources

03Conducting patent trend analysis with standardized metadata and trend tracking

주요 기능

01Source Reliability Grading (Grades A to F)

02Cross-Chapter Data Consistency Verification

03Mandatory Data Field Validation for Market and Patents

049 GitHub stars

05Data Recency Enforcement (2023-2025 window)

06Standardized Table Templates for M&A and Competitiveness

사용 사례

01Verifying the integrity and consistency of complex multi-chapter technical documents

02Generating high-quality market research reports with verified global sources

03Conducting patent trend analysis with standardized metadata and trend tracking