Can I publish directly to Confluence using this skill?

Yes, the skill includes integration patterns for the Atlassian Confluence API, allowing it to create, update, and manage the hierarchy of documentation pages automatically.

What kind of validation does the skill perform?

The skill runs over 60 quality checks covering content accuracy (file paths, table names), functional validation (SQL syntax), structure, completeness, and metadata integrity.

Does this skill require access to my source code?

Yes, codebase access is mandatory. The skill must be able to read your .dig, .sql, and .yml files to extract real configurations and logic; without this access, it cannot generate accurate documentation.

Can I use this for custom documentation outside of standard layers?

Absolutely. While it powers specialized skills for ingestion and staging, the 'core' skill is designed to handle custom documentation workflows that require the same rigorous standards.

APS Documentation Core

Name: APS Documentation Core
Author: treasure-data

bytreasure-data

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학습 및 문서화

Automates the generation of standardized technical documentation for Treasure Data pipeline layers using codebase-driven insights.

소개

The APS Documentation Core skill provides the foundational framework and shared templates for documenting Treasure Data Advanced Processing Services (APS) layers. It enables Claude to analyze your codebase—including SQL scripts, workflow configurations, and YAML files—to extract schemas, data lineage, and processing logic. By enforcing a 60-point quality validation framework and offering direct Confluence integration, this skill ensures that technical documentation is accurate, production-ready, and consistently structured across ingestion, staging, and golden layers.

주요 기능

2 GitHub stars
Comprehensive 60+ point quality validation framework to ensure technical accuracy.
Template-driven documentation generation for consistent architectural standards.
Dynamic Mermaid diagram generation for workflows, ERDs, and dependency trees.
Automated extraction of table schemas, column-level lineage, and processing metrics.
Direct Confluence API integration for creating and updating project documentation.

사용 사례

Creating visual data flow and execution diagrams directly from source SQL and YAML files.
Automating the synchronization between codebase changes and Confluence documentation.
Generating standardized documentation for complex Treasure Data data pipelines.

소개

주요 기능

2 GitHub stars
Comprehensive 60+ point quality validation framework to ensure technical accuracy.
Template-driven documentation generation for consistent architectural standards.
Dynamic Mermaid diagram generation for workflows, ERDs, and dependency trees.
Automated extraction of table schemas, column-level lineage, and processing metrics.
Direct Confluence API integration for creating and updating project documentation.

사용 사례

Creating visual data flow and execution diagrams directly from source SQL and YAML files.
Automating the synchronization between codebase changes and Confluence documentation.
Generating standardized documentation for complex Treasure Data data pipelines.