Does this skill require a specific environment?

It requires a functional DBT environment where commands like 'dbt debug' and 'dbt docs generate' can be executed via the terminal.

Is the analysis performed locally?

Yes, the skill executes tools directly on your local environment to read metadata and generate the report within your repository.

Can I customize the final analysis report?

Yes, the skill generates a standard markdown report in your repository which you can manually edit or ask Claude to refine further.

How does it trace data lineage?

The skill parses the DBT manifest.json file to map dependencies and relationships between different data layers, including staging and marts.

What databases does this skill support?

While optimized for DBT-supported databases like Snowflake, BigQuery, and Redshift, it works with any project where DBT metadata files can be generated.

Data Structure Analyst

Name: Data Structure Analyst
Author: nerver111

bynerver111

0•

데이터베이스 관리

Performs comprehensive database reverse engineering and metadata analysis to document data lineage and relationships.

This skill empowers Claude to perform deep-dive analysis of data structures within your projects, specifically optimized for DBT (Data Build Tool) workflows. It automates the process of checking project health, generating documentation, and parsing metadata from manifest and catalog files. By reverse-engineering schemas and tracing data lineage, it provides actionable insights into model relationships, data quality issues, and optimization opportunities, culminating in a structured markdown report for your repository.

주요 기능

01In-depth analysis of project metadata from manifest and catalog files

02Automated DBT project health checks and documentation generation

03Detailed data quality assessment and naming convention review

040 GitHub stars

05Comprehensive data lineage tracing across staging, intermediate, and mart layers

06Automated generation of structured markdown analysis reports

사용 사례

01Onboarding new developers by generating clear written data lineage and schema reports

02Conducting data quality audits and test coverage assessments for DBT projects

03Documenting complex data models and inter-table dependencies for legacy databases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nerver111/git-skill-test analyze-data-structure

For use in Claude.ai and ChatGPT

주요 기능

01In-depth analysis of project metadata from manifest and catalog files

02Automated DBT project health checks and documentation generation

03Detailed data quality assessment and naming convention review

040 GitHub stars

05Comprehensive data lineage tracing across staging, intermediate, and mart layers

06Automated generation of structured markdown analysis reports

사용 사례

01Onboarding new developers by generating clear written data lineage and schema reports

02Conducting data quality audits and test coverage assessments for DBT projects

03Documenting complex data models and inter-table dependencies for legacy databases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nerver111/git-skill-test analyze-data-structure

For use in Claude.ai and ChatGPT