Create and revise BD-DATA documents with frontmatter keys and data boundaries.
npx skills add https://github.com/tsuji-tomonori/diopside-v3 --skill doc-bd-data
Please help me install this Agent Skill. Skill: doc-bd-data Source: https://github.com/tsuji-tomonori/diopside-v3/tree/main/.opencode/skills/doc-bd-data Command: npx skills add https://github.com/tsuji-tomonori/diopside-v3 --skill doc-bd-data
This Skill ensures that BD-DATA (Data Architecture) documents are created and revised according to diopside's Obsidian operational guidelines, specifically focusing on defining data collection boundaries and data design principles.
BD-DATA-* documents adhering to strict frontmatter and content requirements.BD-DATA-XXX document, clearly defining which videos will be collected and why others will be excluded, ensuring compliance with diopside's documentation standards.Use the doc-bd-data skill to create a new BD-DATA document for defining data collection boundaries.
High-intent search queries and answers about installing and using this skill.
To standardize data architecture documentation in Obsidian, generate BD-DATA documents with mandated frontmatter keys, enforce data collection boundaries, and run validation scripts for glossary linking and vault integrity checks.
Defining data collection boundaries requires explicitly separating in-scope data like official posts from out-of-scope private data, ensuring your content management pipeline maintains clear separation of concerns for collection and normalization.
To create a data source document using Obsidian operational guidelines, instantiate a BD-DATA template defining data retention policies, processing pipeline stages, and related documentation links to ensure vault standardization.
Yes, this data architecture standardization enforces separation of concerns by mandating explicit boundaries between data collection, normalization, indexing, and distribution stages within the processing pipelines.
Obsidian vault integrity checks fail when glossary terms are mislinked because the validation scripts mandate strict adherence to frontmatter keys and data governance principles defined in the diopside documentation standards.
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