ontology-generator
De la autor
Generate comprehensive ontological knowledge graphs in [[wikilinks]] syntax for InfraNodus visualization. Use when the user requests to create an ontology, extract entities and relationships from text, or generate knowledge graph structures. Handles both topic-based ontology generation and entity extraction from existing text. Output is formatted for direct paste into InfraNodus.com for network visualization and AI-powered gap analysis.
Instalare
npx skills add infranodus/skills --skill ontology-generator -a claude-code
Se instalează în .claude/skills/ontology-generator/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (Fără licență) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
Vrei ca agentul să-ți propună skill-uri în timp ce scrii? Vezi cum folosești skill-urile din IDE.
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 76
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- knowledge-graph-creationseb1n/awesome-ai-agent-skillsBuild structured knowledge graphs from unstructured text by extracting entities, mapping relationships, generating graph triples, and visualizing the result. Use when the user requests knowledge graph creation or provides relevant inputs for this workflow.Productivitate★ 229
- infranodusinfranodus/skillsText network analysis and knowledge graphs via the InfraNodus MCP server: analyze text structure, find content gaps, generate research questions and ideas, compare texts, optimize content for SEO/GEO, analyze Google search results, GraphRAG retrieval, structured memory. Accepts text, URLs (YouTube transcription included), and saved graphs. Also builds knowledge graphs of code repos and Obsidian vaults: invoked in a project folder ("graph this repo", "analyze this vault", "/infranodus") it mines docs, PDF text, docstrings, WHY/NOTE comments, and commit/PR/issue history into saved graphs with a report, and keeps them current by replacing the statements of changed files in place. When infranodus/manifest.json exists in the project root, answer questions about themes, decisions, rationale, or gaps by querying the existing graphs FIRST, before reading files. For an LLM-authored knowledge base built from sources (wiki pages, curated ontologies), prefer the llm-wiki skill.Documente★ 122
- geo-knowledgeyaojingang/GEOHubBuild and query an evidence-lined GEO knowledge graph from approved source bundles. Use for entity normalization, relation lineage, conflicting fact preservation, incremental source-hash updates, local/global knowledge queries, 知识图谱, 知识库, and 知识治理. Exclude unsourced facts, hidden conflict resolution, autonomous crawling, and external database mutation.Date★ 165
- infographic-generatorAffitor/affiliate-skillsGenerate branded infographic specifications from any content or data. Outputs structured layout, copy, data visualization, and color scheme — ready to render as HTML/CSS, Satori, Canva, or any design tool. Use this skill when the user wants an infographic, data visual, social media image, comparison chart, stat card, or says "create an infographic for [content]", "make a visual for my LinkedIn post", "design an image for [topic]", "stat graphic for [data]", "comparison infographic", "branded image", "social media graphic", "infographic for [blog post]", "data visualization", "visual content", "image for my post", "LinkedIn carousel image", "feature comparison chart", "pricing table image".Design★ 744
- networkxforyourhealth111-pixel/Vibe-SkillsComprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.Știință★ 3.8K
- research-knowledge-graphKalarisLabs/research-agent-skillsTurn a bibliography or literature corpus into a knowledge graph of papers, authors, venues, topics and citation links, then analyze it (citation clusters, key papers, bridging work, research gaps) or export it to Neo4j, Gephi, NetworkX, Obsidian or Markdown-graph tools such as graphify. Use when mapping a research field, building a citation network, finding influential or bridging papers, or visualizing how a literature connects. Zero-dependency builder with optional OpenAlex enrichment.Știință★ 61
Note și recenzii
—
nicio recenzie
Ai încercat acest skill? Notează-l ca să-i ajuți pe alții. Autentifică-te
Discuție
Intră în discuție. Autentifică-te