linkml
Author, validate, review and release LinkML schemas with the ohi CLI (ohi linkml). Covers schema authoring, bootstrapping from RDFS/OWL/SHACL/JSON Schema/XSD or sample data…
Lot de plugins · par NeverBlink
Aperçu
linkml est un lot de plugins pour les outils de code IA publié par NeverBlink. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Nous l'avons vu pour la première fois le 2026-10-30 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-11-05.
Author, validate, review and release LinkML schemas with the ohi CLI (ohi linkml). Covers schema authoring, bootstrapping from RDFS/OWL/SHACL/JSON Schema/XSD or sample data, modelling-quality review, instance-data validation, and GitHub Actions setup. Auto-load for any task involving a LinkML schema.
Ce qu'il demande
- S'installe comme lot de plugins
Aucune des places de marché que nous lisons ne publie ses outils ni les réglages qu'il demande.
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En plugin Claude Code
Construit à partir de ce que déclare Community GitHub marketplaces.
/plugin marketplace add neverblink-oss/linkml-scala
/plugin install linkml@linkml-scala
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire neverblink-oss/linkml-scala (Ouvrir la source sur GitHub) | Référencé | non indiquée | Forks (GitHub): 6 Étoiles (GitHub): 62 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Listé dans une place de marché communautaire
| Place de marché | Dépôt | Étoiles (GitHub) |
|---|---|---|
| linkml-scala | neverblink-oss/linkml-scala | 62 |
Quelles places de marché nous lisons et comment nous les vérifions
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Skills: 1
linkml
Ce qui a changé
- Est devenu un produit que nous suivons
- Community GitHub marketplaces: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
ohi + LinkML: ontology discovery, file acquisition, project selections and schema authoring.
-
AI-native ontology engineering with 39 MCP tools backed by an in-memory Oxigraph triple store. Build, validate, query, and govern RDF/OWL ontologies using a…
-
coremodels io.github.qg-aramai/coremodels
Schema modeling in JSON, JSON-LD, and other formats with CoreModels platform.
-
validate io.github.machinegrade/validate
Deterministic validation for AI-generated artifacts: JSON Schema, OpenAPI response, SQL syntax.
-
understand-quickly io.github.looptech-ai/understand-quickly
Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.
-
mcp-neo4j-data-modeling io.github.neo4j-contrib/mcp-neo4j-data-modeling
A simple Neo4j MCP server for creating graph data models.
-
Deterministic Software Graph analysis via Ontoly CLI and MCP
-
Validate JSON against a schema with Ajv, infer a schema from samples and diff two schemas.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
AI-native ontology engineering with 39 MCP tools backed by an in-memory Oxigraph triple store. Build, validate, query, and govern RDF/OWL ontologies using a…
-
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup…
-
DrillSpark Workflow Toolkit is a Claude Code plugin for workflow analysis, Mermaid diagram validation, code review, test generation, and security review. It helps engineering…
-
Honeydew AI plugins for semantic data modeling and data analysis — 9 skills, 3 hooks, multi-platform support.
-
Audit your Claude plugins, skills, and coding agents against the SOSA methodology — Supervised Orchestrated Secured Agents. Scans your entire plugin ecosystem and evaluates each…
Référencé sur Claude Code: claude-plugins-official (5)
-
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup…
-
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
-
Preset CLI skills for explicit shell, scripting, and CI/CD workflows driven by the `sup` CLI (PyPI package `superset-sup`). Use only for CLI workflows; do not use for MCP-only…
-
Automate API security directly in Claude Code with 42Crunch - automatically audit OpenAPI specs, detect vulnerabilities aligned with OWASP API Security risks (including…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Référencé sur Claude: knowledge-work-plugins (5)
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Create, edit, and deploy ServiceNow applications with the Fluent SDK effortlessly through Claude AI.
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Inspect repositories, triage pull requests and issues, debug CI, and publish changes through a hybrid GitHub connector and CLI workflow.
-
Qodo setup, code intelligence, and review workflows.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Use MagicPath to find, inspect, install, create, and edit UI components from Codex.
Référencé sur Community GitHub marketplaces (3)
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Inspect a repository, improve Tiny Tool Town readiness, submit its listing issue, and launch remediation work.
-
Model, visualize, and deploy applications with Radius from the GitHub Copilot app and CLI.
-
Generate professional project documentation with draw.io architecture diagrams and Word (.docx) output with embedded images. Automatically discovers any project's technology stack…
-
Analyze any repository and generate AI-ready configuration — AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates…
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Advanced Security plugin for GitHub Copilot.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Référencé sur Cursor: cursor/plugins (5)
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
CLI-backed repo compatibility scans plus agents that audit startup, validation, and docs against reality.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Skills for building on the Cursor Origin API. Fetch the live spec first, then follow the Origin rules for credentials, scopes, webhooks, paging, and errors. Includes a skill that…
Référencé sur Docker MCP Catalog (5)
-
mcp-neo4j-data-modeling io.github.neo4j-contrib/mcp-neo4j-data-modeling
A simple Neo4j MCP server for creating graph data models.
-
schemacrawler-ai io.github.schemacrawler/schemacrawler-ai
Enables natural language schema queries — explore tables, keys, procedures, and get SQL help fast
-
Fetch, validate, and generate code or curl from any OpenAPI or Swagger spec - all from a single URL.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Give your AI agents trusted access to the full Postman platform.
Référencé sur Official MCP Registry (5)
-
coremodels io.github.qg-aramai/coremodels
Schema modeling in JSON, JSON-LD, and other formats with CoreModels platform.
-
validate io.github.machinegrade/validate
Deterministic validation for AI-generated artifacts: JSON Schema, OpenAPI response, SQL syntax.
-
understand-quickly io.github.looptech-ai/understand-quickly
Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.
-
mcp-neo4j-data-modeling io.github.neo4j-contrib/mcp-neo4j-data-modeling
A simple Neo4j MCP server for creating graph data models.
-
Validate JSON against a schema with Ajv, infer a schema from samples and diff two schemas.
Référencé sur PyPI (MCP servers) (5)
-
Semantic knowledge engine for Obsidian with auto-classification and DAG hierarchy
-
Deploy production REST and Neo4j Graph APIs from JSON schemas in seconds.
-
Section-level doc search for .md, .rst, .adoc, .org, .ipynb, .html, .yaml, .json, and OpenAPI specs.
-
repo-graph io.github.James-Chahwan/repo-graph
Structural graph map of any codebase so LLMs navigate by structure, not guesswork.
-
csoai-governance-crosswalk-mcp
Csoai Governance Crosswalk MCP server. Tools: query crosswalk, crosswalk bridge, compliance gap anal
Référencé sur npm registry (MCP servers) (5)
-
140 deterministic tools for your AI: logs, tests, SQL, diagrams, SPARQL. Local, no network.
-
speclock io.github.sgroy10/speclock
AI Constraint Engine — enforces CLAUDE.md and .cursorrules as laws. 51 MCP tools.
-
lain io.github.spuentesp/lain
High-performance knowledge graph MCP server for AI coding agents with semantic search.
-
Lint AI agent context files (CLAUDE.md, AGENTS.md, etc.) against your actual codebase
-
crayon-c4-mcp io.github.SQUORA-NL/crayon-c4-mcp
Author, validate and maintain a CRAYON-C4 architecture model — never write an invalid file.
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Community GitHub marketplaces. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.