140 boosters for "research" — open source, verified from GitHub, ready to install
Deep Research is an advanced web research booster using Graph-of-Thoughts methodology to investigate fast-changing topics through hypothesis testing, source triangulation, and multi-tier analysis. It's designed for users and developers needing rigorous, current information on evolving subjects.
"description": "Plan-to-code pipeline: automated planning with 5-actor verification, then TDD execution with parallel agents. Formerly beast-plan.", "name": "Dmitrii Malakhov" "skills": "./skills/"
Deep Research is a 7-phase structured research protocol that helps users conduct comprehensive, multi-source investigations with verified citations and source triangulation. It benefits researchers, analysts, and anyone needing thorough, auditable research outputs.
"name": "academic-research", "description": "Academic research toolkit for AI PhD researchers — literature survey, paper reviewing, citation management, and more."
A technical decision-making agent that researches latest specifications and documentation to inform design and configuration choices during development. Developers benefit from automated best-practice guidance based on current standards rather than static knowledge.
A Claude Code skill that enables research across Reddit, X, and the web within a custom time range (1-365 days), helping users stay current on topics with configurable depth and output formats.
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "tasteray-skills", "description": "Psychological profiling skills for natural conversation using research-backed techniques",
"name": "vibe-science", "description": "Scientific research plugin with tracked claim/review/seed lifecycle, citation verification gates, strict integrity, benchmark recording, and retrieval closure.", "name": "Vibe Science Contributors",
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "research-os", "description": "Bundled plugins with shared context for research including vision planning, experiment planning and spec- and test-driven implementation workflows.",
"name": "magi-researchers", "version": "0.17.0", "description": "Three AI models, one synthesis \u2014 multi-model research workflow for scientific domains",
Heuristic scoring (no AI key configured).
Parallel Task MCP is an MCP server designed to enable deep research and parallel task execution within Claude-based environments. It benefits developers and researchers who need to coordinate multiple concurrent tasks or investigations.
"name": "open-academic-paper-machine", "description": "Open Academic Paper Machine — Autonomous academic paper production system with idea evaluation gate and paper-vs-code audit. NEW in v6.4: /audit-paper command and audit-engine skill — static audit of a paper's empirical claims (datasets, models,
"description": "Product research simulation engine. Generate AI personas with real behavioral psychology, simulate them through pricing, features, onboarding, and retention decisions. Ask a product question, get a research synthesis.", "name": "Ayush Saraswat" "repository": "https://github.com/saras
"description": "End-to-end skills for academic writing, data analysis, teaching, and research communication", "name": "academic-skills", "description": "Academic manuscript writing suite, topic modeling consolidation, exploratory analysis, and course content development",
"name": "research-paper-assistant", "description": "AI copilot for academic writing targeting top-tier computer science conferences.", "name": "Minhu Wang",
"name": "cre-skills", "description": "112 institutional-grade CRE skills covering ~97% of commercial real estate workflow steps. Deal screening, underwriting, structuring, due diligence, capital markets, market research, asset management, leasing, investor relations, development, disposition, sourci
A migration guide for transitioning from deprecated hardcoded agents to a dynamic ConfigurableAgent system in a Rust-based agentic chatbot server. Developers maintaining or upgrading agent-based systems benefit from clear configuration patterns and best practices for multi-provider LLM setups.
"name": "spanish-research-grants", "name": "Dr. Pablo Zulet Fraile", "email": "pablozuletfraile@gmail.com"
"name": "ai-quick-starter", "description": "Bilingual Claude Code skill collection for repository engineering, research, refactoring, documentation, and capture workflows.", "email": "astro_air@126.com",
"name": "abstract-to-concrete-design", "description": "Agentic workflow for designers — from abstract problem space to evidence-based design brief. Research, competitive analysis, and UX critique run in parallel to produce a design brief before you open Figma.", "author": { "name": "rizkiridha", "ur
Enables researchers and academics to systematically search arXiv papers, analyze research content, build literature reviews, and generate citations through a skill designed for Claude Code integration. Useful for students, researchers, and anyone conducting academic research who need structured access to arXiv resources.
"name": "heor-agent-mcp", "mcpName": "io.github.neptun2000/heor-agent", "author": "mnaumov",
