scinexus
Writing composable, type-checked data pipelines with scinexus: define_app, NotCompleted, data stores, apply_to, parallel backends
Pacote de plugins · de The scinexus authors
Resumo
scinexus é um pacote de plugins para ferramentas de programação com IA publicado por The scinexus authors. Marketplaces que lemos e que o listam: 1 (Community GitHub marketplaces). Vimos pela primeira vez em 2026-10-15 e não registramos mudanças desde então. Conforme nossa passagem pelos marketplaces em 2026-10-20.
O que pede
- Instala-se como pacote de plugins
Nenhum dos marketplaces que lemos publica as ferramentas ou as configurações que ele pede.
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.
Funciona com
- Claude Code
Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.
Conectar
Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.
Como plugin do Claude Code
Gerado a partir do que Community GitHub marketplaces declara.
/plugin marketplace add cogent3/scinexus
/plugin install scinexus@scinexusOnde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Marketplace da comunidade cogent3/scinexus (Abrir o código no GitHub) | Listado | 2026.10.12 | Forks (GitHub): 1 Estrelas (GitHub): 7 |
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.
Listado em um marketplace da comunidade
| Marketplace | Repositório | Estrelas (GitHub) |
|---|---|---|
| scinexus | cogent3/scinexus | 7 |
O que o pacote contém
Conforme publicado em Community GitHub marketplaces.
Skills: 1
scinexus
O que mudou
- 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.
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
-
Build Fast Dash apps: type-hint inference, depends_on cascading inputs, multi-function tabs, multi-step pipelines.
-
Structured protocols for feature exploration and development workflows
-
Hypothesis-driven data analysis workflow and catalog MCP server
-
Core tools for fundamental physics research: arXiv access, paper management, and literature workflows
-
Operator-owned scientific dataset discovery for remote agents
-
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…
-
Feature metadata management for multimodal data and ML pipelines. Provides guidance on feature definitions, versioning, metadata stores, and testing.
-
Expert AI assistant for Apache Hamilton framework development - create DAGs, apply decorators, debug dataflows, and optimize pipelines
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)
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
Hypothesis-driven data analysis workflow and catalog MCP server
-
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…
-
Multi-agent AI pipelines with structural write/review isolation, crash-safe state recovery, and spec-driven development. Run sequential, parallel fan-out, iterative-loop, or…
-
Principles and rules for writing faithful scientific code. Scientific code serves truth, not users. This plugin teaches Claude the fundamental differences between scientific and…
Listado em Claude Code: claude-plugins-official (5)
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
Data engineering for Apache Airflow and Astronomer. Author DAGs with best practices, debug pipeline failures, trace data lineage, profile tables, migrate Airflow 2 to 3, and…
-
Build high-quality datasets and computer vision models. Visualize datasets, analyze models, find duplicates, run inference, evaluate predictions, and develop custom plugins.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup…
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…
-
Connect to preclinical research tools and databases (literature search, genomics analysis, target prioritization) to accelerate early-stage life sciences R&D
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Official Buildkite skills for Claude Code, Cursor, and other AI coding agents — pipelines, migration, preflight, agent runtime, CLI, and API
-
Build and deploy Base44 full-stack apps with CLI project management and JavaScript/TypeScript SDK development skills
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…
-
Guided NGS intake, local execution, and public-pipeline routing for BCL, FASTQ, DNA variant, RNA-seq, single-cell, epigenomics, amplicon, and metagenomics analyses, with deeper…
-
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…
-
Design, critique, implement, test, and export web data visualizations in Codex, including charts, maps, dashboards, Gantt, UML, scrollytelling, reports, slides, mobile views…
Listado em Community GitHub marketplaces (5)
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
-
Build Fast Dash apps: type-hint inference, depends_on cascading inputs, multi-function tabs, multi-step pipelines.
-
Structured protocols for feature exploration and development workflows
-
Core tools for fundamental physics research: arXiv access, paper management, and literature workflows
-
Operator-owned scientific dataset discovery for remote agents
Listado em Copilot CLI: github/awesome-copilot (5)
-
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.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Phoenix AI observability skills for LLM application debugging, evaluation, and tracing. Includes CLI debugging tools, LLM evaluation workflows, and OpenInference tracing…
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
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.
-
code-apps-preview
Build and deploy Power Apps code apps using React, Vite, and Power Platform connectors.
-
mobile-app
Build and deploy Power Apps code apps for mobile using Expo (React Native), with native device functionality and Power Platform connectors
-
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…
Listado em Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
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.
-
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…
-
Scaffold and validate new agent plugins.
Listado em Docker MCP Catalog (5)
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
mcp-grafana io.github.grafana/mcp-grafana
An MCP server giving access to Grafana dashboards, data and more.
-
A Node.js–based Model Context Protocol server that spins up disposable Docker containers to execute arbitrary JavaScript.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
Listado em Official MCP Registry (5)
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
-
Run real bioinformatics from your AI agent. Reliable, reproducible, on your own GPUs.
-
Connect RStudio to AI assistants for interactive R coding and data analysis.
-
Scaffold modern npm packages, CLIs, services and apps as a native tool for AI agents.
-
Versioned scientific models with units and SBML, CellML, Modelica export.
Listado em npm registry (MCP servers) (5)
-
Gives AI agents eyes and hands into running React Native apps: logs, REPL, tap, screenshots
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
-
Discover and load Agent Skills from configured local directories and Git sources over stdio MCP.
-
easytable-mcp io.github.chrischall/easytable-mcp
easyTable restaurant reservations for Claude — availability, and create/modify/cancel bookings
-
Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.
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.