How does it handle missing information in the codebase?

The skill follows a strict 'no fabrication' policy. If evidence for a specific data practice isn't found, it is explicitly marked as 'not observed' rather than being omitted or guessed.

Can it translate documentation into other languages?

Yes, it will produce translations of the data specification if your root CLAUDE.md file declares specific translation requirements for the project.

Where does it store the generated data documentation?

By default, the skill produces and maintains the data specification at the .workaholic/specs/data.md path within your repository.

Does this skill support Mermaid diagrams?

Yes, it automatically generates inline Mermaid diagrams within the documentation to help visualize data structures, relationships, and naming hierarchies.

What does the DB Lead skill actually do?

It scans your codebase to identify and document exactly how data is stored, including file formats, frontmatter schemas, and validation rules, producing a standardized specification file.

Database & Data Schema Lead

Name: Database & Data Schema Lead
Author: qmu

byqmu

0•

データベース管理

Standardizes and documents project data formats, frontmatter schemas, and validation rules based on observable codebase evidence.

The DB Lead skill acts as an automated data architect for your repository, meticulously analyzing how information is stored, structured, and validated. It eliminates guesswork by generating a comprehensive data specification that maps out file naming conventions, serialization formats, and schema definitions directly from your source code. By enforcing evidence-based documentation, it ensures that your technical specs reflect the actual implementation state, marking any gaps as 'not observed' to maintain high documentation integrity.

主な機能

01Inline Mermaid diagram generation for data structure visualization

02Evidence-based documentation with direct codebase citations

03Frontmatter schema analysis and validation rule mapping

040 GitHub stars

05Automated extraction of data formats and serialization patterns

06Multi-language translation support based on project configuration

ユースケース

01Onboarding developers to complex repository data storage patterns

02Generating living technical documentation for data persistence layers

03Auditing codebase consistency against established file naming and validation rules

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add qmu/workaholic lead-db

For use in Claude.ai and ChatGPT

Download Skill