research-to-integration
Research technical approaches, run bounded comparisons, and deliver reusable code with reproducible tests and configurable autonomy.
Пакет плагинов · от Gleb Kalinin
Коротко
research-to-integration: пакет плагинов для ИИ-инструментов разработки, издатель Gleb Kalinin. Витрин, которые мы читаем и где он опубликован: 1 (Community GitHub marketplaces). Мы впервые увидели его 2026-11-07 и с тех пор изменений не фиксировали. Данные нашего прохода по витринам на 2026-11-09.
Что просит
- Ставится как пакет плагинов
Ни одна из витрин, которые мы читаем, не публикует его инструменты или настройки, которые он просит.
Что объявляет, просит и запускает, полностью
Устанавливайте плагины только от разработчиков, которым доверяете. Мы показываем то, что публикуют витрины, и не проверяем плагины.
Работает с
- Claude Code
По маркетплейсам, где он опубликован, и объявленному транспорту MCP, как их документирует каждый клиент. Плагины мы не тестируем.
Подключить
Команды и конфигурации собраны только из того, что объявляют витрины. Мы не запускаем их за вас и не проверяем плагины.
Как плагин Claude Code
Собрано из того, что объявляет Community GitHub marketplaces.
/plugin marketplace add glebis/claude-skills
/plugin install research-to-integration@glebis-skills
Где опубликован
| Витрина | Статус | Версия | Числа | Проверен | Впервые замечен |
|---|---|---|---|---|---|
| Маркетплейс сообщества glebis/claude-skills (Открыть исходники на GitHub) | Опубликован | 1.0.1 | Форки (GitHub): 60 Звёзды (GitHub): 410 |
Не помечен |
Каждое число принадлежит своей витрине и никогда не складывается с числами других витрин. Если витрина число не публикует, мы его не показываем: нет числа не значит ноль.
Есть в одном маркетплейсе сообщества
| Витрина | Репозиторий | Звёзды (GitHub) |
|---|---|---|
| glebis-skills | glebis/claude-skills | 410 |
Что менялось
- Стал продуктом, за которым мы следим
- Community GitHub marketplaces: появился
Похожие плагины
Продукты, чьи собственные названия, описания, инструменты и скиллы ближе всего по смыслу к этому, на всех витринах, которые мы читаем. Близость упорядочена только внутри этого списка.
-
research-automation
Autonomous research loops, agent harnesses and research artifacts.
-
claudecode-research-harness-workflow
Research Agent Harness — a controlled execution environment for reproducible empirical research agents.
-
Persistent reviewed research and engineering runtime
-
Persistent reviewed research and engineering runtime
-
Autonomous experiment loop — modify, test, keep/discard, repeat forever
-
Run Arbor's autonomous research workflow inside Claude Code with your own model (keyless). Installs the Arbor skill suite and the `arbor mcp` tools in one step.
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
-
Autonomous multi-agent software evolution via /factory:implement
-
Build an AI-ready engineering system for safe coding-agent delivery and continuous software improvement.
-
Research sprint orchestrator for Claude Code. Ask a question, get a decision-ready brief — every finding is tracked as a typed claim, adversarially challenged, confidence-graded…
Похожие плагины по витринам
Тот же вопрос к каждой витрине по отдельности: есть ли там аналог этого плагина?
Есть на витрине Claude Code: claude-plugins-community (5)
-
Research sprint orchestrator for Claude Code. Ask a question, get a decision-ready brief — every finding is tracked as a typed claim, adversarially challenged, confidence-graded…
-
karimo-harness-engineering-agent-orchestration
Harness engineering framework for Claude Code — plan mode on steroids. Product design-driven agent orchestration with sub-agents and agent teams, tuned for developers and…
-
20 enterprise-grade skills for autonomous AI/ML research lab operations. Includes 10 custom gap-analysis skills (research-commander, agent-debugger, model-evaluator…
-
Harness leverages Claude Code's agent team system to decompose complex tasks into coordinated teams of specialized agents. Say "build a harness for this project" and it…
-
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…
Есть на витрине Claude Code: claude-plugins-official (5)
-
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
-
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
-
Set up endorctl and use Endor Labs to scan, prioritize, and fix security risks across your software supply chain
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
Help Claude Code champions run hackathons and office hours, find patterns worth sharing, help teammates climb the steps of AI adoption, and write a shareable AI maturity report.
Есть на витрине 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…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
A suite of agent skills for the full GrowthBook feature flag and experimentation lifecycle.
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Bring Qodo's codebase intelligence, coding standards, and code review into your coding agent.
Есть на витрине 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.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Qodo setup, code intelligence, and review workflows.
Есть на витрине Community GitHub marketplaces (5)
-
research-automation
Autonomous research loops, agent harnesses and research artifacts.
-
claudecode-research-harness-workflow
Research Agent Harness — a controlled execution environment for reproducible empirical research agents.
-
Persistent reviewed research and engineering runtime
-
Persistent reviewed research and engineering runtime
-
Autonomous experiment loop — modify, test, keep/discard, repeat forever
Есть на витрине Copilot CLI: github/awesome-copilot (5)
-
Premium planning, thrifty implementation
-
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…
-
7 specialized agents covering the full software development lifecycle from UX design and architecture to security and DevOps.
-
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.
Есть на витрине Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
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…
-
code-apps-preview
Build and deploy Power Apps code apps using React, Vite, and Power Platform connectors.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Есть на витрине 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.
-
Scaffold and validate new agent plugins.
-
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…
Есть на витрине 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.
-
MCP server for AI access to SmartBear tools, including BugSnag, Reflect, Swagger, PactFlow, QTM4J.
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
Give your AI agents trusted access to the full Postman platform.
Есть на витрине Official MCP Registry (5)
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
-
Zhiyong AI Technology Decision Radar
Read-only AI tool/model discovery with fit signals, unknowns, next tests, and public discussions.
-
Research graph MCP for hypotheses, goals, runs, source quality, audits, and generated maps.
-
agent-comm io.github.keshrath/agent-comm
Agent intercommunication - messaging, channels, shared state, and real-time events
Есть на витрине PyPI (MCP servers) (5)
-
Gives AI agents the function they asked for, not the file. Commercial use needs a license.
-
MCP knowledge layer for MiniStack — plug into any IDE AI (Claude Desktop, Cursor, Continue, Devin, Cline).
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
Connect AI assistants to PhenoWorks projects, datasets, and analysis pipelines through MCP.
Есть на витрине npm registry (MCP servers) (5)
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
-
agentic-flow (external: maintained in ruvnet/agentic-flow, pinned to commit d19737b, plugin 3.4.0): the agentic-flow MCP server pinned to agentic-flow@3.4.0 (ReasoningBank…
-
One system around coding agents to run, verify, recover, and hand off software work.
-
AI-powered virtual IT department via MCP — codebase intelligence, 9-agent scrum team, sprint management, and React dashboard in one npm package
-
Run, watch, and meter coding agents — Claude Code, OpenCode, Kiro, Codex CLI, Gemini CLI, Prime Agent — with normalized events, cost accounting, A/B experiment/variant comparison…
Найдено по смыслу, а не по общему коду или репозиторию: похожие плагины остаются разными продуктами, и это не обзор и не рекомендация.
Хотите такой знак у своего плагина в нашем каталоге?
Докажите, что поддерживаете его, файлом в репозитории, файлом на вашем домене или DNS-записью, и сможете показать этот знак на карточке, а ещё живые баннеры для сайта и README. Как проходит подтверждение
Ещё вы будете получать уведомления, когда витрина добавит плагин, снимет его, изменит отметку verified или список того, что он просит, а его удалённый endpoint встанет на мониторинг как веб-сервис.
Данные витрины Community GitHub marketplaces. Числа взяты из наших регулярных обходов витрин, последняя проверка . Контакты издателей плагинов мы не публикуем.