Indexes and retrieves doc-structure guidance via natural language queries.
npx skills add https://github.com/jamieadams-nerd/umrs-project --skill doc-arch
Please help me install this Agent Skill. Skill: doc-arch Source: https://github.com/jamieadams-nerd/umrs-project/tree/main/.claude/skills/doc-arch Command: npx skills add https://github.com/jamieadams-nerd/umrs-project --skill doc-arch
doc-arch helps teams locate authoritative guidance on documentation architecture, ensuring consistent structure decisions across projects.
Query the doc-structure collection for architecture guidance and apply the resulting recommendations to content placement and navigation decisions.
High-intent search queries and answers about installing and using this skill.
Semantic search indexes your doc-structure collection to retrieve diataxis guidance, helping you decide where content belongs and how to apply topic types like concepts, procedures, references, and tutorials.
The best way to organize modular docs is querying the semantic search index for best practices on Antora structure and navigation, ensuring consistent content placement and architecture decisions across teams.
Yes, semantic search applies natural language queries with contextual ranking and phrase matching to retrieve relevant architecture guidance from your maintained doc-structure corpus.
Yes, this semantic search requires a maintained doc-structure corpus to index, as it retrieves diataxis and Antora architecture guidance directly from that collection.
Query the doc-structure collection for navigation and Antora structure insights, applying the contextual ranking results to determine correct content placement and modular documentation organization.
jamieadams-nerdEnforce UMRS documentation workflow rules for Antora modules and AsciiDoc content.
felixgeelhaarImplement Diataxis-based documentation strategies with content governance and measurable outcomes.
mofa-orgScaffold static websites and lesson sites from content using multiple template families.
snqbSearch Pi session history by keywords, date, or tools.
