Generate Ontology School course paths/labs with progressive step ontologies from source ontology material. Use when user asks to tutorialize an ontology into school lessons and per-step builds.
npx skills add https://github.com/microsoft/Ontology-Playground --skill ontology-school-path-generator
Generate a complete Ontology School course with progressive ontology steps.
docs/authoring-guide.mddocs/learn-content-guide.mddocs/embed-guide.mdcontent/learn/iq-lab-retail-supply-chain/catalogue/official/iq-lab-retail-step-1/catalogue/official/<slug>-step-N/."category": "school".content/learn/<course-slug>/.<ontology-embed> + diff for progressive steps.If the course, step ontologies, examples, sample data, quests, quiz text, or docs
need any person names, first use the name-generator skill. Do not invent
customer, employee, patient, student, instructor, reviewer, or other human names.
All generated person names must come from:
data/reference/FNF-2026-06-01-01002-0268.csv
Use the CSV FullName column by default, and keep selected names consistent
across source markdown, RDF/OWL examples, generated catalogue data, and tests.
npm run qa:tutorial-contentnpm run buildIf lesson content is not yet approved:
reviewStatus: under-human-review to article frontmatter.github/ISSUE_TEMPLATE/ontology-school-review.yml/#/learnname-generator skill / approved CSV fixture
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take microsoft/ontology-school-path-generator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.