98 boosters for "research" — open source, verified from GitHub, ready to install
ultraplan is a CLI tool that records multi-modal context (audio, screenshots, clipboard, keystrokes) from work sessions and converts them into detailed prompts for Claude analysis. Developers and researchers benefit by capturing complete context from meetings, debugging, or research workflows for later AI-assisted analysis.
"name": "mountaineering-skills", "description": "Automated mountain route research combining PeakBagger data, weather forecasts, avalanche conditions, and trip reports into comprehensive beta documents", "name": "dreamiurg",
Search academic papers via the Semantic Scholar API using a structured 4-phase workflow. Parse the user's intent and choose a search strategy: Write ONE Python script. Example:
Extracts structured datasets from academic papers by leveraging OpenAlex search and citation graph traversal. Researchers and AI scientists benefit from automating literature review and dataset creation workflows.
Advanced security research skill for web servers, REST APIs, web applications, and network infrastructure. Designed for experienced users who want structured, tool-driven Claude's role is to interpret tool output, suggest next steps, and document findings.
A Claude agent specialized in market research tasks that operates under library-first constraints to reuse and adapt existing components. Useful for business analysts and product teams needing automated market analysis capabilities.
A quantum computing research agent that provides structured execution phases and library-first development practices for quantum research tasks. Useful for researchers and developers working on quantum computing projects within Claude-compatible environments.
Spec-Driven RE mit skalierbarer Governance. Specs sind Verträge, keine Vorschläge. Enforcement ist automatisch, nicht optional. SpecForge arbeitet ausschließlich mit: 1. Session-Kontext — aktuelle Konversation
A CLI tool for orchestrating AI agents at scale to analyze code repositories, manage GitHub collaborators, and conduct bulk research across multiple data sources including Notion and CSV. Ideal for developers and teams automating large-scale code analysis, data processing, and repository management tasks.
"name": "inclusive-design-skills", "description": "Agentic skills for designing accessible, inclusive products — from cognitive accessibility to adaptive interfaces, inclusive research, and accessibility decision-making.", "cognitive-accessibility",
"name": "medical-mcps", "version": "0.1.17", "description": "Comprehensive biological and medical research data integration server providing unified access to 13+ specialized databases including Reactome (pathways), KEGG (pathways/diseases), UniProt (proteins), ChEMBL (drug discovery), PubMed (liter
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.
"name": "anysite-skills", "description": "Professional skills for data extraction and analysis using anysite MCP server. Covers LinkedIn, Instagram, Twitter/X, Reddit, YouTube, Y Combinator, SEC, and web scraping for lead generation, competitive intelligence, market research, social media analytics,
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.
"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/"
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.
"name": "magi-researchers", "version": "0.17.0", "description": "Three AI models, one synthesis \u2014 multi-model research workflow for scientific domains",
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "research-os", "description": "Bundled plugins with shared context for research including vision planning, experiment planning and spec- and test-driven implementation workflows.",
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "tasteray-skills", "description": "Psychological profiling skills for natural conversation using research-backed techniques",
"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": "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,
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.
Heuristic scoring (no AI key configured).
