Data models for Schema.org vocabularies.
Data models for Dublin Core metadata terms.
Data models for the W3C vCard RDF vocabulary.
Data models for the W3C ODRL information model.
Data models for the Dataspace Protocol specification.
Data models for UN/CEFACT semantic vocabularies.
JSON Schemas, prose contracts, and conformance suite for the skill-map specification.
JSON Schema 2020-12 namespace for ApiDOM.
Local JSON-LD contexts for offline and controlled use.
Parser adapter for parsing YAML documents into Arazzo 1.x.y namespace.
Arazzo Specification 1.0.1 namespace for ApiDOM.
Parser adapter for parsing JSON documents into Arazzo 1.x.y namespace.
Data models for DCSA Track and Trace semantics.
Persistent architectural memory and structural cognition for AI coding agents.
Data models for VDA JAIF semantics.
Core data transformation model for Specs design specification tools
MCP server for the WebAssembly core specification — SHA-pinned instructions, types, sections, and search. Not affiliated with the W3C WebAssembly CG.
Spec-driven AI development: planning + TDD + living wiki memory
AI-Powered Enterprise Software Development System for Claude Code — 22 skills, TDD workflow, safety guards, drift reconciliation, cross-AI review, and smart session management
Plan the whole system before your agent writes a line of code. Local-first planning layer with structured entities and typed relations.
Reference SDK and CLI for Leji, the open specification for the shared context layer of AI-native teams: validate, index, changelog, freshness, conformance, viewer, init, adopt, detect, start, ci, and agent.
Plan before coding. Documents are the source of truth; code is their reflection.