researcher
Autonomous experimentation skill — your AI coding agent designs experiments, tests hypotheses, discards failures, keeps wins.
Paquete de plugins · de Krzysztof Dudek
Resumen
researcher es un paquete de plugins para herramientas de programación con IA publicado por Krzysztof Dudek. Marketplaces que leemos y que lo publican: 1 (Community GitHub marketplaces). Lo vimos por primera vez el 2026-10-26 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-10-29.
Qué pide
- Se instala como paquete de plugins
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
Lo que declara, pide y ejecuta, completo
Instala solo plugins de desarrolladores en los que confíes. Mostramos lo que publican los marketplaces y no probamos plugins.
Funciona con
- Claude Code
Según los marketplaces que lo listan y el transporte MCP que declara, tal como lo documenta cada cliente. No probamos plugins.
Conectar
Comandos y configuraciones generados solo a partir de lo que declaran sus marketplaces. No los ejecutamos por ti ni probamos plugins.
Como plugin de Claude Code
Generado a partir de lo que declara Community GitHub marketplaces.
/plugin marketplace add krzysztofdudek/researcherskill
/plugin install researcher@researcher-marketplaceDónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Marketplace de la comunidad krzysztofdudek/researcherskill (Abrir el código en GitHub) | Publicado | 1.8.0 | Forks (GitHub): 27 Estrellas (GitHub): 267 |
Sin marca |
Cada cifra es del propio marketplace y nunca se suma entre marketplaces. Un marketplace que no publica cifras no muestra ninguna: sin número no es cero.
Figura en un marketplace de la comunidad
| Marketplace | Repositorio | Estrellas (GitHub) |
|---|---|---|
| researcher-marketplace | krzysztofdudek/researcherskill | 267 |
Qué contiene el paquete
Tal como se publica en Community GitHub marketplaces.
Skills: 1
researcher
Qué cambió
- Pasó a ser un producto que seguimos
- Community GitHub marketplaces: apareció
Plugins similares
Productos cuyos propios nombres, descripciones, herramientas y skills son los más cercanos a este por su significado, en todos los marketplaces que leemos. La cercanía se ordena solo dentro de esta lista.
-
Autonomous experiment loop — modify, test, keep/discard, repeat forever
-
ideation-and-design
Hypothesis generation, experimental design, statistics planning, validation.
-
Computational-science methodology for Claude Code: research framing, pre-registration, reproducible analysis, anomaly investigation, and red-team review
-
Reviewable ML research: literature, planning, methodology review, bounded runs, sweeps, implementation verification, ablations, retrospectives, Kaggle, and setup
-
Drop-in agentic loop skills (autoresearch, literature & writing, data, optimization, red-team, power analysis). Skills install namespaced as agent-loops:<name>.
-
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…
-
Research skills for paper auditing, citation checks, and experiment analysis.
Plugins similares por marketplace
La misma pregunta a cada marketplace por separado: ¿hay allí un equivalente de este plugin?
Publicado en Claude Code: claude-plugins-community (5)
-
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…
-
Autonomous skill improvement through parallel research agents. Inspired by Karpathy's autoresearch methodology, it spawns 5 parallel agents (domain expert, quality auditor…
-
Autonomous experiment loop for Claude Code. Run an endless optimize-measure-keep/discard cycle on any optimization target: LLM training loss, test speed, bundle size, build time…
-
20 enterprise-grade skills for autonomous AI/ML research lab operations. Includes 10 custom gap-analysis skills (research-commander, agent-debugger, model-evaluator…
-
About Comprehensive research co-pilot for Claude Code and claude.ai — 13 skills covering literature review, methodology, ethics review, data analysis, qualitative coding…
Publicado en Claude Code: claude-plugins-official (5)
-
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…
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
A suite of agent skills for the full GrowthBook feature flag and experimentation lifecycle.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to…
Publicado en Claude: knowledge-work-plugins (5)
-
Connect to preclinical research tools and databases (literature search, genomics analysis, target prioritization) to accelerate early-stage life sciences R&D
-
A suite of agent skills for the full GrowthBook feature flag and experimentation lifecycle.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
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.
Publicado en 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.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Predict structures, screen molecules and proteins, and design binders.
Publicado en Community GitHub marketplaces (4)
-
Autonomous experiment loop — modify, test, keep/discard, repeat forever
-
ideation-and-design
Hypothesis generation, experimental design, statistics planning, validation.
-
Computational-science methodology for Claude Code: research framing, pre-registration, reproducible analysis, anomaly investigation, and red-team review
-
Reviewable ML research: literature, planning, methodology review, bounded runs, sweeps, implementation verification, ablations, retrospectives, Kaggle, and setup
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
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…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
Publicado en 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.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Advanced Security plugin for GitHub Copilot.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Publicado en Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
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.
-
playwright-mcp io.github.microsoft/playwright-mcp
Playwright Tools for MCP
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
Publicado en Docker MCP Catalog (5)
-
Real-time web search, reasoning, and research through Perplexity's API
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Exa AI web search, deep research, and content extraction. Provides MCP tools and research skills for comprehensive web search, people discovery, company research, academic papers…
-
Tools for interacting with Hugging Face models, datasets, research papers, and more.
Publicado en Official MCP Registry (5)
-
Create, launch, and analyze user research studies, AI interviews, and AI tests from your AI agent.
-
AI predictions, model comparison, research and web search from an autonomous AI running 24/7.
-
Research graph MCP for hypotheses, goals, runs, source quality, audits, and generated maps.
-
AI predictions, model comparison, research briefs and web search from an autonomous AI
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
Publicado en PyPI (MCP servers) (5)
-
Search Lacuna's ML research graph for papers, directions, authors, venues, and hypotheses.
-
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.
-
perplexity com.mcparmory/perplexity
Search the web, generate AI responses, and create embeddings with real-time information
-
parallel com.mcparmory/parallel
Search the web, extract content, and run distributed tasks with AI-powered automation
Publicado en npm registry (MCP servers) (5)
-
google-surf-mcp io.github.HarimxChoi/google-surf-mcp
Web, academic and code search with graph RAG, data lineage, ontology and cross-project schema links.
-
AI visibility and SEO data for AI agents: citations, keywords, trends, and scheduled trackers.
-
Real-world actions for AI coding agents: an inbox with approval outbox, deploys, domains, payments.
-
dossier ai.imboard/dossier
MCP server for dossier automation standard - enables LLMs to discover, verify, and execute dossiers
-
OSS to create Personas, Skills, Templates, Agents, and Memories to customize your AI experience.
Encontrados por significado, no por código ni repositorio compartidos: los plugins similares siguen siendo productos distintos, y esto no es una reseña ni una recomendación.
¿Quieres esta marca para tu plugin en nuestro catálogo?
Demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS, y podrás mostrar esta marca en la ficha, con banners en vivo para tu web y tu README. Cómo funciona la verificación
Además recibirás avisos cuando un marketplace lo publique, lo retire, cambie su marca verificada o lo que pide, y su endpoint remoto quedará monitorizado como un servicio web.
Datos de Community GitHub marketplaces. Las cifras proceden de nuestros propios recorridos periódicos por los marketplaces, leída por última vez el . No publicamos datos de contacto de los editores de plugins.