38 tagged ontology-engineering, measured the same way as everything else here.
Browse within: ontology 38fde 17fde-enablement 16knowledge-graph 16metadata-driven 16ontology-driven-development 16knowledge-engineering 12
Skill Claude CodeCodex
A recovery workflow for Exchange servers, which are systems used for organisational email and calendars. It covers planning a restoration from backups, creating a recovery job, and checking whether the service works afterward.
Skill Claude CodeCodex
A knowledge network describing the main resource relationships in a Kubernetes cluster. Kubernetes is a system for running and managing containerised applications across machines.
Skill Claude CodeCodex
A knowledge guide for tracing a product supply process from demand estimates through suppliers.
Skill Claude CodeCodex
Set up and maintain the GitHub Pages site for the mykg repo (SenolIsci/mykg) — a purpose-built pages/ folder (landing page adapted from README.md, blog posts, diagrams), built by a GitHub Actions workflow that runs Jekyll and deploys the result to a gh-pages branch. Use whenever the user wants to publish project…
Skill Claude CodeCodex
Build, analyze, and visualize networks and graphs using NetworkX (Python). Use this skill whenever the user wants to: create graphs or networks, analyze graph properties, compute centrality measures, find shortest paths, detect communities, run graph algorithms, convert graphs to/from matrices or dataframes, visualize…
Skill Claude CodeCodex
Run mykg knowledge-graph commands inside Claude Code from one slash command /mykg. The user describes intent in natural language (extract, append, resume, approve, walkthrough, parse-docs, fetch-web, query); the skill parses intent, builds the right mykg CLI command from the live --help output, confirms, runs it, and…
jesstalisman-ia/intentional-arrangement-skos
Skill Claude CodeCodex
Build, validate, and convert SKOS thesauri and taxonomies. Use when creating or editing a controlled vocabulary (concepts, preferred/alternate labels, broader/narrower/related, mappings, concept-scheme metadata), when checking a vocabulary for integrity problems (cycles, orphans, duplicate labels, related/broader…
Skill Claude CodeCodex
Design ObjectStack automation — Flows (visual logic), Triggers, Approvals, state machines, scheduled jobs, and webhooks. Use when the user is adding .flow.ts, wiring an event-driven rule, or modelling an approval chain. Do not use for data lifecycle hooks at the object layer (see objectstack-data) or for kernel /…
Skill Claude CodeCodex
Design ObjectStack data schemas — objects, fields, field conditional rules, relationships, validations, indexes, lifecycle hooks, permissions, row-level security — and the seeds (defineSeed()) that load fixtures and reference data alongside them. Use when the user is creating or modifying .object.ts / .seed.ts files…
Skill Claude CodeCodex
Author ObjectStack UI metadata — Views (list/form/kanban/calendar/gantt), Apps (navigation), Pages (structured plus the HTML and React source-authoring tiers, ADR-0080/0081), Dashboards, Reports, Charts, Actions, and package Docs (src/docs/.md). Use when the user is adding .view.ts / .app.ts / .dashboard.ts /…
Skill Claude CodeCodex
Orchestrate a hierarchical ontology engineering skill family for a specific domain. Use when the user wants end-to-end planning, team composition, research, ontology construction, validation, and release guidance grounded in competency questions, evidence, reuse-first modeling, and human review gates.
Skill Claude CodeCodex
Plan a domain ontology effort by clarifying scope, composing the working team, defining competency questions, and setting risk and approval gates before research begins.
Skill Claude CodeCodex
Run the research stage for a domain ontology project by collecting primary sources, checking whether the needed data is actually collectible in practice, curating evidence, identifying reuse candidates, and writing research artifacts to the exe folder.
Skill Claude CodeCodex
Systematic ontology engineering for designing, constructing, reviewing, repairing, optimizing, refactoring, validating, documenting, and governing ontologies, vocabularies, taxonomies, knowledge graphs, semantic models, and mappings. Use for RDF/RDFS, OWL 2, SKOS, SHACL, SPARQL, OBO, Turtle, JSON-LD, RDF/XML…