12 tagged owl, measured the same way as everything else here.
Browse within: ontology 7shacl 7graph 6rdfs 6triple-store 6
Skill Claude CodeCodex
AI-native ontology engineering using 50+ MCP tools backed by an in-memory Oxigraph triple store. Build, validate, query, and govern RDF/OWL ontologies with a generate-validate-iterate loop. Use when building ontologies, knowledge graphs, RDF data, SPARQL queries, BORO/4D modeling, SHACL validation, clinical…
Skill Claude CodeCodex
Use when the user adds, changes, or refactors an LLM agent under src/agents/ — or anything that goes through Foundation Model API or an MLflow-traced LLM call. Mandatory under CNS §3.5 and .cursor/12-ai-feature-lifecycle.mdc. Walks the SPEC → dataset → eval-harness → impl → re-eval sequence.
Skill Claude CodeCodex
Use when the user asks for a code review, asks to "review the code", or requests review of a feature/PR/branch. Runs the OntoBricks review checklist defined in .cursorrules.
Skill Claude CodeCodex
Use when the user asks to deploy, ship, release, or push OntoBricks to Databricks. Wraps the Databricks Asset Bundle deploy for the FastAPI app and the MCP server, with the bootstrap-perms safety net described in README.md.
Skill Claude CodeCodex
Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community…
Skill Claude CodeCodex
Natively ingest Mattermost into the epistemic-graph knowledge graph via the mattermost-mcp MCP server — push teams, channels and users as typed :Team/:Channel/:Person nodes, messages as :Document nodes, and file attachments as :MediaAsset blobs, in one ACID path. Use when the agent must make a Mattermost workspace…