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…
Plugin bundle · by NeverBlink
About
linkml is a plugin bundle for AI coding tools published by NeverBlink. Marketplaces we read that list it: 1 (Community GitHub marketplaces). We first saw it on 2026-10-30 and have recorded no change since. As of our marketplace pass on 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.
What it asks for
- Installs as a plugin bundle
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a Claude Code plugin
Built from what Community GitHub marketplaces declares.
/plugin marketplace add neverblink-oss/linkml-scala
/plugin install linkml@linkml-scala
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace neverblink-oss/linkml-scala (Open the source on GitHub) | Listed | not stated | Forks (GitHub): 6 Stars (GitHub): 62 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
Listed in one community marketplace
| Marketplace | Repository | Stars (GitHub) |
|---|---|---|
| linkml-scala | neverblink-oss/linkml-scala | 62 |
What the bundle contains
As published on Community GitHub marketplaces.
Skills: 1
linkml
What changed
- Became a product we track
- Community GitHub marketplaces: appeared
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
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.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on 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…
Has a listing on 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…
Has a listing on 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…
Has a listing on 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.
Has a listing on Community GitHub marketplaces (3)
Has a listing on 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…
Has a listing on 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.
Has a listing on 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…
Has a listing on 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.
Has a listing on 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.
Has a listing on 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
Has a listing on 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.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Want this mark on your plugin in our catalog?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record, and you can show this mark on the card, with live banners for your site and README. How verification works
You also get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.