warpio
Complete scientific computing orchestration with 13 AI experts (5 core + 8 specialized), 17 MCP tools, and HPC automation
Pacote de plugins · de IOWarp.ai · não está mais listado
Resumo
warpio é um pacote de plugins para ferramentas de programação com IA publicado por IOWarp.ai. Nenhum marketplace que lemos o lista mais; a última listagem saiu em 2026-10-17. A última mudança que registramos foi em 2026-10-17. Conforme nossa passagem pelos marketplaces em 2026-10-15.
O que pede
- Instala-se como pacote de plugins
- Segredos: 3
- Configurações: 10
- Hooks declarados: 4
O que declara, pede e executa, por completo
Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.
Conectar
Sem dados para um comando automático: o que os marketplaces declaram não diz de forma inequívoca como conectá-lo.
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Marketplace da comunidade akougkas/claude-code-4-science (Abrir o código no GitHub) | Removido em 2026-10-17 | 0.1.0 | Forks (GitHub): 1 Estrelas (GitHub): 2 |
Sem marcação |
Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.
O que o pacote contém
Conforme publicado em Community GitHub marketplaces.
Servidores MCP: 16
adiosarxivcompressioncontext7darshanfilesystemhdf5jarvislmodnode_hardwarepandasparallel_sort
Mostrar mais 4
parquetplotslurmzen_mcp
Comandos: 19
warpio-config-resetwarpio-config-setupwarpio-config-validatewarpio-expert-delegatewarpio-expert-listwarpio-expert-statuswarpio-helpwarpio-help-configwarpio-help-expertswarpio-help-localwarpio-learnwarpio-local-config
Mostrar mais 7
warpio-local-statuswarpio-local-testwarpio-statuswarpio-workflow-createwarpio-workflow-deletewarpio-workflow-editwarpio-workflow-status
Agentes: 13
analysis-expertdata-analysis-expertdata-expertgenomics-experthpc-data-management-experthpc-expertmarkdown-output-expertmaterials-science-expertresearch-expertresearch-writing-expertscientific-computing-expertworkflow-expert
Mostrar mais 1
yaml-output-expert
Hooks: 4
PreCompactSessionStartStopSubagentStop
O que mudou
- Não está mais listado em Community GitHub marketplaces
- Community GitHub marketplaces: removido
- Passou a ser um produto que acompanhamos
- Community GitHub marketplaces: apareceu
Plugins semelhantes
Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.
-
Arquestra — Scientific Computing Orchestration
AI orchestration for computational chemistry and HPC workflows.
-
Run real bioinformatics from your AI agent. Reliable, reproducible, on your own GPUs.
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
Discover, run, inspect, build, test, and privately reuse AI workflows.
-
mcp io.scispot/mcp
Turn any LLM into your lab assistant: search samples, track experiments, analyze data with AI.
-
Run FDS, OpenFOAM, CalculiX and other engineering simulations on cloudHPC from your AI assistant.
-
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
Listado em Claude Code: claude-plugins-community (5)
-
Arquestra — Scientific Computing Orchestration
AI orchestration for computational chemistry and HPC workflows.
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
20 enterprise-grade skills for autonomous AI/ML research lab operations. Includes 10 custom gap-analysis skills (research-commander, agent-debugger, model-evaluator…
-
Autonomous experiment loops on any codebase — one file, one metric, one loop. An agent edits a constrained file, runs an eval, keeps improvements, reverts failures, and repeats…
Listado em Claude Code: claude-plugins-official (5)
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
-
Build, train, evaluate, and use open source AI models, datasets, and spaces.
Listado em Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
MCP server for terminal commands, file operations, and process management
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Connect to preclinical research tools and databases (literature search, genomics analysis, target prioritization) to accelerate early-stage life sciences R&D
Listado em Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Predict structures, screen molecules and proteins, and design binders.
Listado em Community GitHub marketplaces (5)
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
-
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
-
Autonomous experiment loop — iteratively optimize any metric with git-tracked experiments
Listado em Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive Copilot canvas.
-
Model, visualize, and deploy applications with Radius from the GitHub Copilot app and CLI.
-
Skills and interactive Copilot canvas for designing, configuring, testing and deploying agents to Microsoft Foundry.
Listado em 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…
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Listado em Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
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…
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
Listado em Docker MCP Catalog (5)
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
Seamless interaction with Novita AI platform resources.
Listado em Official MCP Registry (5)
-
Arquestra — Scientific Computing Orchestration
AI orchestration for computational chemistry and HPC workflows.
-
Run real bioinformatics from your AI agent. Reliable, reproducible, on your own GPUs.
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
-
Discover, run, inspect, build, test, and privately reuse AI workflows.
-
mcp io.scispot/mcp
Turn any LLM into your lab assistant: search samples, track experiments, analyze data with AI.
Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.
Quer esta marca no seu plugin em nosso catálogo?
Prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS, e você poderá mostrar esta marca na ficha, com banners ao vivo para o seu site e o README. Como funciona a verificação
Você também recebe alertas quando um marketplace o publica, o remove, muda a marca de verificado ou o que ele pede, e o endpoint remoto passa a ser monitorado como um serviço web.
Dados de Community GitHub marketplaces. Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.